# Best Analytics Platforms - Page 17 ## How Many Analytics Platforms Products Does G2 Track? **Total Products under this Category:** 366 ### Category Stats (Aug 2026) - **Average Rating:** 4.5/5 (↑0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** Aible (+4.36%) - Among all products in this category, Aible recorded the largest rating increase compared to last month _Last updated: August 01, 2026_ ## How Does G2 Rank Analytics Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 28,800+ Authentic Reviews - 366+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## G2 Grid® for Analytics Platforms ![G2 Grid® for Analytics Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/analytics-platforms/grids.png?focus%5B%5D=29364&focus%5B%5D=1213&focus%5B%5D=10470&focus%5B%5D=1327283&focus%5B%5D=989&focus%5B%5D=604&focus%5B%5D=5048&focus%5B%5D=27024) Highlighted products: Microsoft Power BI, Tableau, Databricks, SAS Viya, Alteryx, Domo, Looker, and Kyvos Semantic Layer. Underlying data: [Grid® JSON](https://www.g2.com/categories/analytics-platforms/grids.json?focus%5B%5D=microsoft-microsoft-power-bi&focus%5B%5D=tableau&focus%5B%5D=databricks&focus%5B%5D=sas-sas-viya&focus%5B%5D=alteryx&focus%5B%5D=domo&focus%5B%5D=looker&focus%5B%5D=kyvos-semantic-layer&segment=all) **Sponsored** ### Zenlytic Most orgs have more data than they know what to do with. Zenlytic changes that. Zenlytic is the AI Data Analyst for your entire org. Zoë answers the hardest questions and builds the decks, memos, and Excel models to back them up. She onboards in under an hour and surfaces verified answers on demand. Companies in retail, SaaS, technology, and finance use Zenlytic to stop waiting on data and start acting on it. Business teams get answers without the backlog. Data teams get out of the weeds. Curious what that looks like for your org? Start here. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=620&secure%5Bchosen_at%5D=2026-08-03T04%3A43%3A47Z&secure%5Bdisplayable_resource_id%5D=620&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=620&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1228685&secure%5Bresource_id%5D=620&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fanalytics-platforms%3Fattributes%255B110%255D%3Dall%26page%3D17%26segment%3Dall%26selected_view%3Dgrid&secure%5Btoken%5D=9bddadb65827c42abe8626e4cf73cc86785386d7906e68b0b4c7c8713cf0f124&secure%5Burl%5D=https%3A%2F%2Fzenlytic.com%2Fswitching-to-zenlytic%3Futm_source%3Dg2%26utm_medium%3Dcpc%26utm_campaign%3Dswitching_to_zenlytic&secure%5Burl_type%5D=custom_url) ### [Analytify AI](https://www.g2.com/products/analytify-ai/reviews) Analytify.ai offers an open-source business intelligence platform that integrates advanced AI capabilities, enabling businesses to analyze and visualize data effectively. The platform supports both cloud-hosted and self-hosted deployment options, providing flexibility and control. It features AI-enhanced analytics, customizable dashboards, scalable data processing, and a user-friendly interface, empowering organizations to make informed decisions and drive growth. #### Who Is the Company Behind Analytify AI? - **Seller:** [Stratapps](https://www.g2.com/sellers/stratapps) - **HQ Location:** Fremont, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ef0e7374d1e5c235a7b5785767f4273cd1fca5d8d778e67f04a4618a46b49b29&secure%5Burl%5D=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fstratapps&secure%5Burl_type%5D=linkedin_company_website) 161 employees on LinkedIn® ### [Arijit Choudhury](https://www.g2.com/products/arijit-choudhury/reviews) Arka is AI-powered analytics for growing business teams. #### Who Is the Company Behind Arijit Choudhury? - **Seller:** [Aruna Labs](https://www.g2.com/sellers/aruna-labs) - **HQ Location:** N/A - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® ### [Arnowa Analytics Platform](https://www.g2.com/products/arnowa-analytics-platform/reviews) Arnowa Analytics Platform: Advanced IoT and AI for Smart Infrastructure The Arnowa Analytics Platform is a comprehensive, cloud-based solution designed to streamline and enhance sustainability management for organizations of all sizes. It addresses the growing demand for transparent climate-related disclosures and proactive sustainability initiatives in an increasingly regulated environment. With advanced features such as seamless data integration, real-time performance monitoring, and compliance with major reporting frameworks, the platform ensures that organizations can effectively navigate their sustainability journey. It offers robust tools for tracking greenhouse gas (GHG) emissions, conducting value chain assessments, and generating detailed reports tailored to various stakeholder needs. Key Technical Features: • Emission Hotspot Tracking: Monitor emission hotspots and track sustainability targets through customizable dashboards that provide comparative performance analysis. • Seamless Data Usage: Facilitate the use of GHG emissions data across multiple reporting and rating requirements, ensuring data integrity. • Comprehensive Data Collection: Collect data across the value chain for Scope 1, 2, and 3 emissions calculations using emission factors from official sources, including the Clean Energy Regulator (CER). • Dynamic Visualization Options: Create multi-variable data visualizations with customizable charts and tables, allowing for intuitive analysis and reporting. • Automated Sustainability Reporting: Streamline data collection and automate the generation of structured reports, including “ready-to-file” formats, enhancing efficiency and productivity. • AI & Augmented Analytics: Utilize artificial intelligence for predictive analytics, identifying efficiency opportunities and potential anomalies before they occur. • Real-Time Monitoring: Access real-time data updates with intuitive graphical displays from any web-enabled device, ensuring up-to-date insights. • Multi-Protocol Edge Devices: Integrate IoT devices, business systems, and external data sources for versatile data collection and analysis. Key Benefits of the Platform: • Enhanced Data Management: Seamlessly integrate diverse data sources for accurate and reliable insights. • Compliance Assurance: Meet and exceed regulatory requirements with comprehensive reporting capabilities across major frameworks, including NGERs, GRI, CSRD, ISSB, TCFD, BRSR, DJSI, CDP, and MSCI. • Customizable Dashboards: Tailor visualizations to suit your organization's specific reporting needs with over 30 preconfigured dashboards available at handover. • Streamlined Collaboration: Foster collaboration across teams with multi-user access and shared data functions, facilitating stakeholder engagement and communication. • Granular Accounting and Management: Evaluate sustainability performance across the entire value chain and identify gaps in organizational targets. By leveraging decades of emissions management expertise and cutting-edge technology, the Arnowa Analytics Platform empowers organizations to not only meet regulatory requirements but also achieve their long-term sustainability goals with confidence. Discover how the Arnowa Analytics Platform can transform your approach to sustainability and propel your organization toward a more sustainable future. #### Who Is the Company Behind Arnowa Analytics Platform? - **Seller:** [Arnowa](https://www.g2.com/sellers/arnowa) - **HQ Location:** Perth, AU - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fbbd2ad540cbfebaed4fc105f020a38ffce0f8d816307202ff4695601348c3c5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Farnowa%2F&secure%5Burl_type%5D=linkedin_company_website) 16 employees on LinkedIn® ### [Athena](https://www.g2.com/products/athena-athena/reviews) At Athena, we put data to work for everyone, empowering businesses to unlock their full potential. Our AI-powered business intelligence platform integrates data, people, and systems into a unified environment. With the advanced use of AI, Athena is designed to help organizations understand and visualize their data like never before. We bring real-time analytics and interactive dashboards to the forefront, making data visible and actionable. Athena's advanced analytics capabilities enable companies to anticipate future trends and challenges, while automation tools generate actionable intelligence without manual intervention. By providing a comprehensive view of your business data, we help you optimize critical business processes at scale and in record time. Discover how AI-driven business intelligence platform transforms data into actionable insights, driving exponential business results by revolutionizing how you interact with data. #### Who Is the Company Behind Athena? - **Seller:** [Athena LLC](https://www.g2.com/sellers/athena-llc) - **HQ Location:** N/A - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=879018d06dfd21103b45efd197f68171e88d7c97d7d64ff0905804fb0b400752&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fathenaglobal%2F&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® ### [Baselight](https://www.g2.com/products/baselight/reviews) Baselight is the antidote to AI hallucinations: a unified data layer that serves as the structured backbone for intelligent systems, connecting both humans and LLMs to verifiable, auditable facts. It provides a suite of tools—including an AI for explainable intelligence, an extensive catalog of dependable structured data, and a studio for transparent analysis—to ensure that every query is answered with truth, not guesswork, powering smarter, more reliable insights for everyone. #### Who Is the Company Behind Baselight? - **Seller:** [Finisterra Labs](https://www.g2.com/sellers/finisterra-labs) - **Year Founded:** 2024 - **HQ Location:** Decentralised, US - **Twitter:** @FinisterraLabs 386 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=811b147e257753c0a36804f647a9fe27a2fc5aee6a5f63825dfdeb72f422baca&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffinisterralabs%2F&secure%5Burl_type%5D=linkedin_company_website) 7 employees on LinkedIn® ### [BDB Decision Platform](https://www.g2.com/products/bdb-decision-platform/reviews) Big Data BizViz is a big data analytics company offering platform which provides real-time analytics solution both on cloud and on-premise. #### Who Is the Company Behind BDB Decision Platform? - **Seller:** [BDB.ai](https://www.g2.com/sellers/bdb-ai) - **HQ Location:** N/A - **Twitter:** @bdb\_ai 258 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® ### [BessWave](https://www.g2.com/products/besswave/reviews) BessWave helps businesses connect the disconnected. It’s a new approach to Operations Intelligence for the Mid-Market that helps businesses stop searching for scattered data and start getting answers. #### Who Is the Company Behind BessWave? - **Seller:** [BessWave](https://www.g2.com/sellers/besswave) - **HQ Location:** N/A - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® ### [BI4Web](https://www.g2.com/products/bi4web/reviews) BI4Web is a business intelligence tool that enables companies to make data-driven decisions. Its main features include the analysis of hierarchical structures, multidimensional analysis, reporting, and the most extensive catalog of native representations. Additionally, BI4Web offers a seamless experience across desktops, mobile devices, and tablets. BI4Web is aimed at companies seeking to extract value from their data. It is the perfect tool to drive digital transformation due to its simple configuration yet powerful results. #### Who Is the Company Behind BI4Web? - **Seller:** [RCM Software](https://www.g2.com/sellers/rcm-software) - **Year Founded:** 1989 - **HQ Location:** Mollet del Vallès, ES - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=58fad22b29503521874f0a44f81a6d7462e515da5ce80ee090e3a88f2477d6d2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frcm-software%2F&secure%5Burl_type%5D=linkedin_company_website) 8 employees on LinkedIn® ### [Binnacle.data](https://www.g2.com/products/binnacle-data/reviews) Binnacle.data is the specialized and fully customized Business Intelligence (BI) solution developed by the Full Digital Consultancy, Redegal. It is specifically engineered to address the data complexity faced by large E-commerce and Retail companies that manage high data volumes. The Problem It Solves The primary challenge Binnacle.data resolves is the fragmentation of data and the resulting "executive blindness." In corporations with multiple channels and systems, vital information (profitability, inventory, sales, channel performance) resides scattered across disparate systems: ERPs, CRMs, logistics platforms, Amazon, and various advertising platforms. This dispersion leads to: Slow and inconsistent reporting. Delays in strategic decision-making. A constant, heavy workload for the internal Data Engineering and BI teams. Core Value and Differentiation Binnacle.data operates under a BI-as-a-Service model, which is its main differentiator from generic, self-service BI tools like Tableau or Power BI: Total Customization: The solution is built specifically to fit the client's business logic, processes, and unique Key Performance Indicators (KPIs), rather than forcing the client to adapt to a pre-defined data model. Seamless Integration: It possesses the ability to connect and unify any data source—including custom backend systems or specialized external feeds (like detailed Amazon seller data)—into a single, reliable architecture. Actionable Intelligence: The resulting dashboards are designed for direct consumption by top management (CEO, CFO, Operations Director), providing proactive, strategic intelligence rather than just raw, unprocessed data. Business Impact The outcome of implementing Binnacle.data is 360-degree visibility into business performance in real-time. This allows leaders to: Accelerate decision-making regarding pricing, inventory, and investment. Evaluate precise profitability by product, region, and channel. Eliminate the manual workload of data engineering from the internal team. Essentially, Binnacle.data transforms complex Big Data into a single, reliable source of strategic intelligence for corporate growth. #### Who Is the Company Behind Binnacle.data? - **Seller:** [Redegal](https://www.g2.com/sellers/redegal) - **Year Founded:** 2004 - **HQ Location:** Ourense, ES - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fd9ceeff8b3f076085b5f7240c496a4beb928abde19223648a93a12d925db718&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fredegal&secure%5Burl_type%5D=linkedin_company_website) 124 employees on LinkedIn® ### [BI System](https://www.g2.com/products/bi-system/reviews) Conecto BI System is an all-in-one business intelligence platform designed to unify and streamline your company's operations. It integrates financial control, project management, and sales automation into a single, user-friendly interface, providing comprehensive visibility from initial lead acquisition to final invoicing and profitability analysis. This system empowers businesses to manage complex projects efficiently, measure real-time profitability, and automate sales processes, all within one centralized platform. Key Features and Functionality: - Financial Control & Project Management: Connects hours worked with actual invoicing to accurately measure project profitability. - Omnichannel Pipeline: Consolidates communications from WhatsApp, Instagram, and LinkedIn into a unified, intelligent inbox for seamless interaction. - Automatic Reporting: Provides self-updating BI dashboards, enabling data-driven decision-making without manual intervention. - Visual Sales Funnel: Offers drag-and-drop functionality to manage deals, visualize portfolio value, and assess closing probabilities swiftly. - Sales Automation: Creates intelligent email sequences that pause upon prospect response, allowing the sales team to focus on closing deals while AI handles repetitive follow-ups. - Real-Time Financial Insights: Links won sales to invoicing and collections, offering dashboards that display cash flow, monthly recurring revenue (MRR), and client profitability. Primary Value and User Solutions: Conecto BI System addresses the challenges of fragmented business operations by providing a centralized platform that enhances efficiency and profitability. For agencies, consultants, and service-oriented businesses, it eliminates the need for multiple tools by integrating client management, project tracking, and financial reporting. Sales teams benefit from reduced administrative tasks, allowing them to concentrate on closing deals, while business owners gain real-time insights into operations without relying on manual reports. By automating workflows and consolidating data, Conecto BI System empowers businesses to make informed decisions, improve client relationships, and drive sustainable growth. #### Who Is the Company Behind BI System? - **Seller:** [Conecto Agencia](https://www.g2.com/sellers/conecto-agencia) - **Year Founded:** 2024 - **HQ Location:** Santiago, CL - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a86c975e3a70e29bb3eed92b4c787be78ac53f4ebb01d380cf8f19b3887cbc42&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fconecto-agencia%2F&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® ### [Bizstats AI DWS](https://www.g2.com/products/bizstats-ai-dws/reviews) DWS is one of the products of BizStats.AI fully cloud based SAAS model application. It makes cloud based Data Warehouse Searchable (DWS) without copying / moving the data. Product Overview: Connect: Directly connect existing cloud data warehouse to BizStats.AI. DWS using the connection interface. Connect multiple data warehouses like bigQuery, Snowflake, Redshift etc. It takes only less than a minute. Configure In DWS, BizStats.AI detects each column’s data types and identifies measures and attributes from connected data sources. It is possible to customize auto detected columns if required like change Measure, attribute or column name. Create relationships (Joins) between facts and dimensions. Search DWS Search analytics approach is much faster, compared with the traditional “drag and drop” approach. Anyone in the organization can analyze big data by asking natural language questions, just like a web search engine. Bizstats AI will deliver various types of Analysis like Predictive Analysis, Descriptive Analysis, Diagnostic Analysis, & Prescriptive Analysis. Build board From the search result, any user can choose specific report contents like tables, graphs, kpis, score cards, etc. Then add it to the new or existing board. This will monitor many metrics at once, so any one can quickly check the progress of the business task. Share Anyone can share and distribute powerful, interactive dashboards to support executives, business leaders and users instead of waiting for custom reports from data experts. #### Who Is the Company Behind Bizstats AI DWS? - **Seller:** [Absolut-e data com](https://www.g2.com/sellers/absolut-e-data-com) - **Year Founded:** 2018 - **HQ Location:** San Jose, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3161a3a2dac7b315e5c76a110e742f59833dad5159f620605f45e462cd33ba25&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbizstats-ai&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® ### [BrightAgent](https://www.g2.com/products/brightagent/reviews) BrightAgent is Brighthive’s intelligent super agent, designed to transform raw data into actionable insights and automated data stories for the enterprise. BrightAgent performs every step of the data life cycle: ingestion, governance, retrieval, engineering, analysis, visualization, and custom workflow creation. This agentic system delivers the speed, efficiency, and scale of a human data engineering team without the manual overhead. With connections to 600+ data sources, BrightAgent automates data processing, ensures high data quality, and maintains compliance. Its intuitive conversational interface empowers every team to self-serve, making complex data analysis simple and accelerating your journey to a data-informed organization. Get started now \> https://app.brighthive.io/setup Learn more about Brighthive \> https://www.brighthive.io/blog/ #### Who Is the Company Behind BrightAgent? - **Seller:** [Brighthive](https://www.g2.com/sellers/brighthive) - **Year Founded:** 2018 - **HQ Location:** Chicago, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=30ddb92767c018b88e50d93dc797a49e6c176a006d87e9d77acfb3b4172acf08&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbrighthiveio%2F&secure%5Burl_type%5D=linkedin_company_website) 21 employees on LinkedIn® ### [Business Dashboard](https://www.g2.com/products/business-dashboard/reviews) Grow io is an all in one business dashboard that helps growing businesses take care of everything. Finances, staff, sales, suppliers, and AI-powered insights — all in one place. Grow.io replaces the patchwork of tools that's slowing your business down, so you can spend less time managing and more time growing. Ten powerful modules, one seamless experience. Each feature is designed to solve a real problem that small business owners face every day: Business Analytics Real-time dashboards that turn your raw numbers into clear, actionable insights. See revenue trends, expense breakdowns, and business health scores at a glance — no spreadsheet gymnastics required. P&L Forecasting AI-powered profit and loss forecasting that helps you plan months ahead. Understand where your money is going and predict where it will be — so you can make confident financial decisions. Staff Management From shift scheduling to payroll tracking, manage your entire team in one place. Assign tasks, monitor attendance, and keep everyone aligned without juggling multiple tools. CRM & Sales Pipeline Track every lead from first contact to closed deal. Visualise your pipeline, set sales targets, and never let a follow-up slip through the cracks again. Products & Services Manage your full product catalogue and service offerings with built-in inventory tracking. Know exactly what's selling, what's sitting, and where your margins are strongest. Supplier Management Keep all your supplier relationships organised with performance tracking, profit comparisons, and spend analytics. Instantly see which vendors deliver the best value. Tax Forecasting Stay ahead of HMRC with quarterly tax estimates, VAT tracking, and deduction management. No more surprises when tax season arrives. Email Automation Generate professional business emails in seconds with AI. From client follow-ups to supplier negotiations, communicate faster and more effectively. AI HR Policies Generate compliant HR policies tailored to your business in minutes — not weeks. From remote work guidelines to GDPR compliance, stay protected with AI-crafted documentation. App Integrations Connect the tools you already use — Xero, Shopify, Stripe, QuickBooks, and more. Your data flows in automatically, so you spend less time on data entry and more time growing. - Save 15+ Hours a Week Stop switching between spreadsheets, accounting software, and HR tools. Everything lives in one dashboard. AI That Works for You From financial forecasts to email drafts and HR policies — our AI handles the heavy lifting so you can focus on decisions. Enterprise Security, SME Price Bank-level encryption, GDPR compliance, and role-based access controls protect your data without the enterprise price tag. Start Free, Scale When Ready Our free plan gives you real value from day one. Upgrade only when your business demands more — no pressure, no trials. Built for UK & US Markets GBP and USD support, UK tax compliance, and localised features designed for how small businesses actually operate. Set Up in 5 Minutes No consultants, no training sessions. Sign up, connect your tools, and you're running. It really is that simple. #### Who Is the Company Behind Business Dashboard? - **Seller:** [Grow io](https://www.g2.com/sellers/grow-io) - **HQ Location:** N/A - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® ### [Business Intelligence Consulting Services](https://www.g2.com/products/business-intelligence-consulting-services/reviews) BizAcuity considers customers as partners and strive to work with you to create value for your customers. With an on-site off-shore global delivery model, we provide our customers an added cost advantage and faster delivery cycles. Our team has expertise in the best BI Tools, Analytical databases, Data Integration (ETL) Tools and Analytics Applications. #### Who Is the Company Behind Business Intelligence Consulting Services? - **Seller:** [Bizacuity Solution](https://www.g2.com/sellers/bizacuity-solution) - **Year Founded:** 2011 - **HQ Location:** Atlanta, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=48b103c569a8a8773b22076af4bac1b15465135af0804a3ea1b4c42b7e18c6d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbizacuity-solutions-pvt-ltd-%2F&secure%5Burl_type%5D=linkedin_company_website) 224 employees on LinkedIn® ### [Canals AI](https://www.g2.com/products/canals-ai/reviews) Canals AI provides AI-powered sales order entry that automatically turns customer emails into quotes, no templates or part numbers needed. Our AI models are trained to handle a wide range of inputs, including email text, attachments, PDFs, CSV files, images, Word documents, and even handwritten notes, allowing your team to process quotes in record time. Built for scale, inside sales reps at leading wholesale distributors use Canals to process thousands of line items each day across many verticals. With data entry off their plate, your team can focus on work that matters: building relationships with customers and growing your business. #### Who Is the Company Behind Canals AI? - **Seller:** [Canals AI](https://www.g2.com/sellers/canals-ai) - **HQ Location:** Coral Gables, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=828162c234bd0282114bfb551e2c8283ef570a3ef2e7376cdecbe06309c9e787&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcanals-ai%2F&secure%5Burl_type%5D=linkedin_company_website) 53 employees on LinkedIn® - [‹ Prev‹ Prev](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&page=16&selected_view=grid#product-list) - [1](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&selected_view=grid#product-list) - [2](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&page=2&selected_view=grid#product-list) - … - [13](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&page=13&selected_view=grid#product-list) - [14](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&page=14&selected_view=grid#product-list) - [15](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&page=15&selected_view=grid#product-list) - [16](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&page=16&selected_view=grid#product-list) - 17 - [18](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&page=18&selected_view=grid#product-list) - [19](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&page=19&selected_view=grid#product-list) - [20](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&page=20&selected_view=grid#product-list) - [21](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&page=21&selected_view=grid#product-list) - … - [24](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&page=24&selected_view=grid#product-list) - [25](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&page=25&selected_view=grid#product-list) - [Next ›Next ›](/categories/analytics-platforms/all?attributes%5B110%5D=all&order=g2_score&page=18&selected_view=grid#product-list) Spotlight Categories [Professional Services Automation Software](https://www.g2.com/categories/professional-services-automation) [Threat Intelligence Software](https://www.g2.com/categories/threat-intelligence) [E-commerce Fraud Protection Software](https://www.g2.com/categories/e-commerce-fraud-protection) [Product Lifecycle Management (PLM) Software](https://www.g2.com/categories/product-lifecycle-management-plm) [Video Editing Software](https://www.g2.com/categories/video-editing) Similar Categories - [Agentic Analytics](/categories/agentic-analytics) - [AI Search and Discovery Platforms](/categories/ai-search-and-discovery-platforms) - [Business Intelligence](/categories/business-intelligence) - [Data Virtualization](/categories/data-virtualization) - [Drone Analytics](/categories/drone-analytics) - [Enterprise Search Software](/categories/enterprise-search-software) - [Graph Visualization Tools](/categories/graph-visualization-tools) - [Insight Engines](/categories/insight-engines) - [Other Analytics](/categories/other-analytics) - [Predictive Analytics](/categories/predictive-analytics) - [Site Search Software](/categories/site-search-software) - [Statistical Analysis](/categories/statistical-analysis) - [Text Analysis](/categories/text-analysis) - [Time Series Intelligence](/categories/time-series-intelligence) - [Visitor Behavior Intelligence](/categories/visitor-behavior-intelligence) [Browse Analytics Platforms Themes](/categories/analytics-platforms/themes) ![Tian Lin](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Tian Lin") TL Researched and written by [Tian Lin](https://research.g2.com/insights/author/tian-lin) Updated July 2, 2025 Analytics platforms provide a tool set for businesses to transform raw data into meaningful, actionable insights. They enable organizations to explore data, uncover trends, forecast future outcomes, and support informed decision making. Unlike tools limited to reporting on past performance, analytics platforms often include advanced capabilities such as predictive modeling, statistical analysis, and machine learning (ML). These platforms are designed to be flexible and scalable, supporting a wide range of use cases across the business. These platforms are used in nearly every business function, from marketing and sales to finance, operations, and HR, supporting both strategic planning and day-to-day performance monitoring. From data analysts and scientists to business stakeholders and executives, analytics platforms are used by a wide range of personas. While analysts focus on exploring data and generating insights, self-service tools now enable non-technical users to interact directly with data. IT teams support platform integration and security, reflecting the growing push to democratize data access and embed analytics into daily decision-making across the organization. Analytics platforms support critical functions such as data blending and modeling, enabling users to combine data from diverse sources and build robust, interconnected data models. The visual outputs — dashboards, reports, and interactive charts — help users explore trends, drill down into granular details, and communicate insights clearly. Unlike standalone data visualization tools, which are limited to presenting information, analytics platforms encompass the full analytical workflow. Many also offer advanced capabilities such as embedded analytics, natural language query, and augmented analytics, which leverage ML to automate insight discovery and make data exploration more accessible to a broader audience. Analytics platforms and [business intelligence (BI) software](https://www.g2.com/categories/business-intelligence) often work in tandem to support data-driven organizations. While BI tools focus on tracking and reporting historical performance through dashboards and key performance indicators (KPI), analytics platforms provide broader capabilities that support exploratory analysis and strategic planning. BI answers "what happened," while analytics platforms help users understand why it happened and what might happen next. Rather than replacing BI, analytics platforms complement it by enabling deeper insights and empowering a wider range of users across the organization. To qualify for inclusion in the Analytics Platforms category, a product must: - Ingest and integrate data from a wide range of structured and semi-structured sources - Prepare and transform data using built-in tools for cleaning, enrichment, and formatting - Support connections to diverse data sources, including file uploads, databases, application programming interfaces (API), and SaaS apps - Enable users to model data relationships, join datasets, and explore data interactively - Offer tools to build meaningful business reports, dashboards, and visualizations - Allow creation and sharing of internal analytics applications or embedded insights across teams Show More * * * ## How Do You Choose the Right Analytics Platforms? ### What You Should Know About Analytics Platforms ### What are analytics software platforms? Analytics platforms, also known as business intelligence (BI) platforms, enable companies to gain visibility into their data through data integration, cleansing, blending, enrichment, discovery, and more. These tools are robust systems that sometimes require IT and data science skills to access and decipher company data through custom queries.  Analytics platforms offer a comprehensive look into a company’s data by pulling from structured and unstructured data sources through detailed queries. Casual business users also benefit from analytics platforms, which offer customizable dashboards and the ability to drill into particular data points and trends. ### What types of analytics tools and platforms exist? #### **All-in-one software** ##### **Self-service analytics platforms** Self-service analytics platforms do not require coding knowledge, so business end users can use them for data needs. Cloud-based business analytics software often provides drag-and-drop functionality for building dashboards, prebuilt templates for querying data, and, occasionally, natural language querying for data discovery.  ##### **Embedded BI software** Embedded BI software can integrate proprietary analytics functionality within other business applications. Businesses may choose an embedded product to promote user adoption; by placing the analytics inside regularly used software, companies enable employees to take advantage of available data. These solutions provide self-service functionality so average business end users can use data for improved decision-making. #### **Point solutions** ##### **Root cause analysis** Companies of all sizes produce vast amounts of data from a host of different sources. It can be difficult to keep track of the ebbs and flows of data and to spot outliers and trends across tens if not hundreds (sometimes even thousands) of data sources. Some solutions provide the user with a bird' s-eye view of their data and intelligently alert them to changes in real time. Once alerted, they are able to dive in to evaluate the situation and solve it. ### What are the common features of analytics solutions? Analytics software platforms are a great aid to any organization needing timely data visualization of high-level analytics. The following are some core features within analytics platforms that can help users make the most of them: **Data preparation:**  Although standalone [data preparation software](https://www.g2.com/categories/data-preparation) exists that assists in discovering, blending, combining, cleansing, and enriching data—so large datasets can be easily integrated, consumed, and analyzed—analytics platforms must incorporate these functionalities into their core offering. In particular, analytics platforms must support data blending and modeling, allowing the end user to combine data across different databases and other data sources and to develop robust data models of this data. This is a critical step in making meaning out of the chaos by combining data from various sources. **Data management:** Once the data is properly integrated, it must be managed. This includes restricting data access to certain users, for example. Although some companies opt for a standalone data management solution, such as a data warehouse, analytics platforms must, by definition, provide some level of data management. **Data modeling and blending:** As mentioned, it is not efficient and often not effective to examine data when it is sprawled across many systems. As a business cloud, analytics platforms help businesses consolidate data and combine data points to understand the relationship between data and derive deep insights. **Reports and dashboards:** Multilayered, real-time dashboards are a central feature of analytics platforms. Users can program their analytics software to display metrics of their choice and create multiple dashboards that show analytics related to specific teams or initiatives. From predictive website traffic analytics to customer conversion rates over a specified period, users can choose their preferred metrics to feature in dashboards and create as many dashboards as necessary.  Administrators can adjust the permissions of different dashboards so they are accessible to the users in the company who need them the most. Users can share specific dashboards on office monitors or take screengrabs of dashboards to save and share as needed. Some analytics platform products may allow users to explore dashboards on their mobile devices. [**Self service**](https://www.g2.com/categories/analytics-platforms/f/self-service) **:** Organizations use these tools to build interactive dashboards for discovering actionable insights. This enables business users like sales representatives, human resource managers, marketers, and other non-data team members to make decisions based on relevant business data. **Advanced analytics:** Many analytics solutions are incorporating advanced features, sometimes called augmented analytics, to better understand a business’s data, even without IT support. These can include predictive analytics capabilities and data discovery, which includes intelligent suggestions for data visualization and machine learning-powered suggestions for deeper insights. Other features include [Anomaly detection](https://www.g2.com/categories/analytics-platforms/f/anomaly-detection), [Query based](https://www.g2.com/categories/analytics-platforms/f/query-based), [Search](https://www.g2.com/categories/analytics-platforms/f/search), [Traditional](https://www.g2.com/categories/analytics-platforms/f/traditional) ### What are the benefits of using analytics platforms? **Replace old or disparate software:** Businesses can replace outdated data storage solutions and reporting tools and migrate to an all-inclusive business cloud as an analytics platform. However, data migration is not essential for deploying an analytics solution, as businesses may not have the time or resources to do so. Therefore, it should be noted that these platforms can integrate with a whole host of solutions, such as [enterprise resource planning (ERP)](https://www.g2.com/categories/erp-systems) and [customer relationship management (CRM) software](https://www.g2.com/categories/crm). **Improve productivity:** The days of sorting through tens, if not hundreds, of systems and needing immense support from IT have passed. With analytics platforms (especially those that are self-service and have features such as natural language search), anyone looking for data and data analysis, including average business users, can derive insights from their data. **Save time (automation):** For most analytics platforms, users no longer need a strong background in query languages. Instead, data discovery and root cause analysis allow users to automatically receive alerts and insights into their data and get notified if the data has changed meaningfully. **Reduce errors:** Although standalone data preparation tools may be the right solution for businesses with particularly complex data, analytics platforms allow users to clean and prepare their data through data mapping and deduplication methods. **Consolidate data:** In this data-driven era, essentially every program and device a business has produces massive data. To understand this diverse data in the best way possible, combining it through methods such as data blending, which allows users to integrate data from multiple sources into a functioning dataset, is often necessary. **Improve processes:** Without an analytics platform to be used across a business, processes can be slow and inefficient as interested parties seek data from disparate sources and request data from various people. Analytics platforms can help a business user quickly access data and data analysis and share it with internal and external stakeholders. ### **Who uses analytics tools?** Analytics platforms can have both internal and external users.  #### **Internal users** **Data analysts and data scientists:** These employees are generally the power users of analytics tools, creating complex queries inside the platforms to gather a deeper understanding of business-critical data. These teams may also be tasked with building self-service dashboards to distribute to other teams. **Sales teams:** Sales teams use self-service analytics tools and embedded analytics solutions to obtain insights into prospective accounts, sales performance, and pipeline forecasting, among many other use cases. Using analytics tools in a sales team can help businesses optimize their sales processes and influence revenue. **Marketing teams:** Marketing teams often run different types of campaigns, including email marketing, digital advertising, or even traditional advertising campaigns. Analytics tools allow marketing teams to track the performance of those campaigns in one central location. **Finance teams:** Finance teams leverage analytics software to gain insight into the factors impacting an organization's bottom line. By integrating financial data with sales, marketing, and other operations data, accounting and finance teams pull actionable insights that might not have been uncovered using traditional tools. **Operations and supply chain teams:** Analytics solutions often utilize a company's ERP system as a data source. These applications track everything from accounting to supply chain and distribution; supply chain managers can optimize several processes to save time and resources by inputting supply chain data into an analytics platform.  #### **External users** **Consultants:** Businesses, especially larger ones, do not always understand the breadth and depth of their data, perhaps not even knowing where to begin. An external consultant wielding a powerful analytics platform can help businesses better understand their data and, as a result, make more informed business decisions.  Users may consider contacting [BI consulting partners](https://www.g2.com/categories/business-intelligence-bi-consulting) to help determine the most relevant analytics and data to capture about their company’s overall success. Following a proper consultation, these agencies may offer assistance with setting up or choosing BI tools. A number of these agencies can assist businesses with the entire BI process, from complete data analysis to the shaping of processes or protocols related to data collection. A relationship with these consultants can prove highly beneficial for users who have never performed data analysis before or want to optimize their company’s reporting. **Partners:** Partnerships between companies often involve data sharing and cross-company collaboration. As a result, a centralized repository of data, which would allow for data management, data querying, and data insights, can provide an essential tool for these businesses to succeed together, providing them with a birds-eye view of their data. ### **What are the alternatives to analytics platforms?** Alternatives to analytics platforms can replace this type of software, either partially or completely: [**Marketing analytics software**](https://www.g2.com/categories/marketing-analytics) **:** Businesses looking for tools geared toward marketing use cases and marketing data (e.g., related to targeting prospects) should look at marketing analytics solutions that are purpose-built for this. [**Sales analytics software**](https://www.g2.com/categories/sales-analytics) **:** Although sales data such as revenue forecasts and closed deals can be imported and analyzed in general-purpose analytics platforms, sales analytics platforms can provide a more granular analysis of sales-related data and might have better integrations with sales tools such as CRMs.  [**Log analysis software**](https://www.g2.com/categories/log-analysis) **:**  If a business wants to focus on analyzing its log data from applications and systems, it could benefit from log analysis software, which helps enable the documentation of application log files for records and analytics. [**Predictive analytics software**](https://www.g2.com/categories/predictive-analytics) **:** Broad-purpose analytics platforms allow businesses to conduct various forms of analysis, such as prescriptive, descriptive, and predictive. Since analytics platforms allow for these different types of analyses, they might not provide the most robust features for any type. Therefore, businesses focused on looking at past and present data to predict future outcomes can use predictive analytics software for a more fine-tuned solution.  [**Text analysis software**](https://www.g2.com/categories/text-analysis) **:** Analytics platforms are focused on structured or numerical data, allowing users to drill down and dig into numbers to inform business decisions. Text analysis solutions are the best bet if the user is looking to focus on unstructured or text data. These tools help users quickly understand and pull sentiment analysis, key phrases, themes, and other insights from unstructured text data. [**Data visualization software**](https://www.g2.com/categories/data-visualization) **:** Data visualization tools can be an excellent place for businesses to start when looking to better understand their data. With capabilities including dashboards and reporting, data visualization software can often be quick and easy to set up and is frequently cheaper than more robust analytics platforms.  However, it is essential to recognize their limitations. Data visualization solutions do what they say on the box: visualization. They do not give the user an end-to-end analytics solution from data preparation to data insights, nor do they provide significant data management capabilities. ### **Software and services related to analytics platforms** Related solutions that can be used together with analytics platforms include: [**Embedded business intelligence software**](https://www.g2.com/categories/embedded-business-intelligence) **:** Analytics platforms are standalone platforms that help companies analyze data. Businesses who want to build analytics capabilities into applications, whether that be for internal or external use, can use embedded BI software to accomplish this goal. [**Database software**](https://www.g2.com/categories/database-software) **:** There are a plethora of solutions for storing, organizing, and sharing large amounts of data that can later be accessed and analyzed by analytics tools. Database software includes everything from [big data software](https://www.g2.com/categories/big-data) to traditional table-based [relational databases](https://www.g2.com/categories/relational-databases). Businesses should research and implement whichever database tools make the most sense for their particular data types or analytical needs.  When considering an analytics solution, users should investigate which databases can integrate with the tool to make the most logical product choice for their situation. Analytics products would not serve much purpose without one or more company databases to pull data from when the time comes. ### Challenges with analytics platforms **Configuration:** Analytics solutions may have a highly technical setup process, requiring IT or developmental expertise. When trying to implement one of these platforms without an in-house data scientist or IT professional, users may struggle with getting the technology off the ground, integrating it with the appropriate solutions, and creating queries for data collection. This could mean a significant loss of resources and an inability to use the tool as intended. Users can contact BI consulting providers for assistance setting up a program or, in some cases, for handling the entirety of BI reporting. **Overreliance:** Focusing too much on data and analytics can also be problematic. Data-driven decisions are critical to a business’s success, but data-only decisions ignore the various voices from within and without the organization. Successful companies combine rigorous analytics with anecdotal storytelling and thoughtful conversations about the business's success and components. **Integrations:** If the analytics tool does not fully integrate with existing software, getting a complete view of a business’s operational performance becomes challenging. Similarly, if an integration experiences a communication error or other issue during a data query, it causes an incorrect or incomplete reading. Users should make a point to monitor these connections and any potential performance issues throughout their software stack to ensure that correct, complete, and up-to-date information is being processed and displayed on dashboards. **Data security:** Companies must consider security options to ensure the right users see the correct data and guarantee strict data security. Effective analytics solutions should offer security options that enable administrators to assign verified users different levels of access to the platform based on their security clearance or level of seniority. ### How to choose the best analytics tools #### Requirements Gathering (RFI/RFP) for Analytics Platforms If a company is just starting and looking to purchase the first analytics platform, or maybe an organization needs to update a legacy system--wherever a business is in its buying process, g2.com can help select the best analytics platform. The particular business pain points might be related to all the manual work that must be completed. If the company has amassed a lot of data, it needs to look for a solution that can grow with the organization. Users should think about the pain points and jot them down; these should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees needing this software, as this drives the number of licenses they will likely buy. Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist is a detailed guide with necessary and nice-to-have features, including budget, features, number of users, integrations, security requirements, cloud or on-premises solutions, and more. Depending on the deployment scope, producing an RFI, a one-page list with a few bullet points describing what is needed from an analytics platform might be helpful. #### Compare Analytics Platforms Products **Create a long list** From meeting the business functionality needs to implementation, vendor evaluations are essential to the software buying process. For ease of comparison, after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor. **Create a short list** From the long list of vendors, it is helpful to narrow the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list, businesses can produce a matrix to compare the features and pricing of the various solutions. **Conduct demos** To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and datasets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition.  #### Selection of analytics platforms **Choose a selection team** Before getting started, creating a winning team that will work together throughout the process, from identifying pain points to implementation, is crucial. The software selection team should consist of organization members with the right interests, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill roles such as the primary decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator, or security administrator. The vendor selection team may be more minor in smaller companies, with fewer participants, multitasking, and taking on more responsibilities. **Analyze the data** As analytics platforms are all about the data, the user must ensure that the selection process is also data-driven. The selection team should compare notes and facts and figures that they noted during the process, such as time to insight, number of visualizations, and availability of advanced analytics capabilities. **Negotiation** Just because something is written on a company’s pricing page does not mean it is gospel (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to discount multiyear contracts or recommend the product to others. **Final decision** After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and received, the buyer can be confident that the selection was correct. If not, it might be time to return to the drawing board. ### How much do analytics software platforms cost? As mentioned above, analytics platforms come as both on-premises and cloud solutions. Pricing between the two might differ, with the former often coming with more upfront costs for setting up the infrastructure.  As with any software, analytics platforms are frequently available in different tiers, with the more entry-level solutions costing less than the enterprise-scale ones. The former will often not have as many features and may have caps on usage. Vendors may have tiered pricing, in which the price is tailored to the users’ company size, the number of users, or both. This pricing strategy may come with some support, which might be unlimited or capped at a certain number of hours per billing cycle. Once set up, analytics platforms, especially those deployed in the cloud, do not often require significant maintenance costs. As these platforms often come with many additional features, businesses looking to maximize the value of their software can contract third-party consultants to help them derive insights from their data and get the most out of the software. #### Return on Investment (ROI) Businesses deploy analytics platforms to derive a return on investment (ROI). As they are looking to recoup the losses they spent on the software, it is critical to understand its costs. As mentioned above, analytics platforms are typically billed per user, sometimes tiered, depending on the company size. More users will generally translate into more licenses, which means more money. Users must consider how much is spent and compare that to what is gained in terms of efficiency and revenue. Therefore, businesses can compare processes between pre- and post-deployment software to understand better how processes have been improved and how much time has been saved. They can even produce a case study (either for internal or external purposes) to demonstrate the gains they have seen from using an analytics tool. ### Implementation of analytics software solutions **How are analytics software Implemented?** Implementation differs drastically depending on the complexity and scale of the data. In organizations with vast amounts of data in disparate sources (e.g., applications, databases, etc.), it is often wise to utilize an external party, whether an implementation specialist from the vendor or a third-party consultancy. With vast experience under their belts, they can help businesses understand how to connect and consolidate their data sources and use the software efficiently and effectively. **Who is responsible for analytics platform implementation?** Properly deploying an analytics platform may require many people or teams. This is because, as mentioned, data can cut across teams and functions. As a result, one person or even one team rarely has a complete understanding of all of a company’s data assets. With a cross-functional team, a business can begin to piece together its data and begin the analytics journey, starting with proper data preparation and management. ### Emerging trends related to analytics platforms **Increase data accessibility** Business data is no longer locked up in silos. With analytics platforms, more users across a business can find, access, and analyze this data. In addition, [artificial intelligence (AI) tools](https://www.g2.com/categories/artificial-intelligence) such as [natural language processing (NLP) software](https://www.g2.com/categories/natural-language-processing-nlp) help make searching through and for data more accessible and powerful, providing more accurate results. With the amount of data accessible to businesses today, it is a near necessity that they implement some type of analytics software to understand and act on that data better. Implementing analytics software has been a significant initiative for companies undergoing digital transformation, as these tools offer deeper visibility into an organization's data. Companies adopt these solutions to make sense of large datasets collected from various sources. **Shift from on-premises to cloud** The move from on-premises data analytics to the cloud has been underway for several years, with more and more businesses moving their data and data insights into the cloud. This is taking place for various reasons, such as time to insight. Moving away from on-premises infrastructure has helped many companies enable data work anywhere one has access to the cloud—anywhere with internet access. However, not all data users have the luxury of working in the cloud for several reasons, including data security and issues related to latency. In industries such as health care, strict regulations such as the [Health Insurance Portability and Accountability Act (HIPAA)](https://learn.g2.com/health-insurance-portability-and-accountability-act) require data to be secure. Although it is possible to ensure this security in the cloud, it can be more complicated. **Conversational AI** Historically, to query data within an analytics solution, users needed to master a query language like SQL. With the rise of conversational interfaces, users uncover the data and insights they seek using intuitive language. Intuitive methods of querying data enable a larger user base to access and make sense of company data. **Machine learning** AI is quickly becoming a promising feature of analytics solutions throughout the data journey, from ingestion to insights. From AI-powered data preparation to smart insights, in which the platform suggests visualizations to the end user, analytics platforms are quickly becoming more powerful. Machine learning is helping end users discover hidden insights, allowing them to make sense of data and understand what they are seeing. ### Analytics Platforms FAQs #### **Which analytics platforms have an intuitive UI that non-technical users adopt without extensive training?** I looked for analytics platforms that make it easy to find what you need also enable easy collaboration. - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Has a drag-and-drop chart building without SQL or code that makes it user-friendly. Users can connect Excel, SharePoint, and emails without technical help.  - [Tableau](https://www.g2.com/products/tableau/reviews) **:** Users can create dashboards with limited use and no deep technical background. Onboarding is as simple as sharing the links and giving the right access. - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Spreadsheet-like UI provides the most distinctive non-technical adoption story. Users can pull in data and work with it in complicated ways that don't require coding. - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer approach means business users interact with pre-defined, plain-language metrics rather than raw tables or SQL, which is the foundational mechanism for non-technical adoption.  #### **What are the best analytics platforms for business teams accessing insights without SQL or data science skills?** SQL-free access means business users can explore, filter, and create their own views without analyst dependency.  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Non-technical users can build powerful dashboards quickly without SQL. Power BI's Power Query Editor handles data transformations through button clicks. The DAX layer exists for advanced users but is not required for standard self-service reporting. - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Sigma's specific differentiator for SQL-free access is its spreadsheet-like interface on live warehouse data. For teams already on Snowflake or cloud warehouses, Sigma eliminates the SQL barrier entirely at the analysis layer. - [Domo](https://www.g2.com/products/domo/reviews) **:** The no-code platform is easy to use for non-technical teams. Users can apply filtering and date range changes without any coding. The 1000+ connector ecosystem means data arrives automatically, so business users interact with dashboards rather than queries.  - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic model defines metrics in plain language; business users query pre-built dimensions and measures without writing a single line of SQL.  #### **Which analytics platforms support collaborative dashboards, annotations, and mobile access for on-the-go insights?** I looked for tools with collaborative analytics, shared dashboards, in-platform discussion, annotations, and mobile-ready access. - [Domo](https://www.g2.com/products/domo/reviews) **:** Sales teams can access data and contacts in real-time on their phones. Has platform-native discussion, report sharing, and insight annotation as part of the daily workflow.  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Web and mobile access are daily-use features. The platform enables collaboration so everyone can see the same report at the same time, updated in real time. - [Yellowfin BI](https://www.g2.com/products/yellowfin-bi/reviews) **:** Designed around collaborative BI with built-in story, annotation, and broadcast features for sharing insights with business audiences.  - [Looker](https://www.g2.com/products/looker/reviews) **:** Comes with scheduled report delivery, so automated weekly numbers land in inboxes without anyone manually running anything. Email reports and metric notifications can be set up as daily workflow features.  #### **Which analytics solutions provide fast query response and drill-down capability for ad-hoc exploration?** Fast ad-hoc exploration means users can drill down, pivot, and filter without waiting and without writing a new query every time. - [Tableau](https://www.g2.com/products/tableau/reviews) **:** Users can drill down on data without writing queries. Extracted datasets perform significantly better for ad-hoc work. - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer pre-aggregates at the warehouse layer so ad-hoc queries against massive datasets return fast without full table scans.  - [Incorta](https://www.g2.com/products/incorta/reviews) **:** Its direct data mapping approach eliminates the aggregation layer that slows most BI platforms during ad-hoc queries. For organizations where query latency on complex, multi-source datasets is the primary pain, Incorta is a good choice. - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Provides intuitive filtering across countries, teams, and time periods within existing dashboards without analyst involvement. The Direct Lake connection mode specifically reduces ad-hoc query latency. #### **Which analytics solutions integrate with Snowflake, BigQuery, and Redshift seamlessly?** Native, live connections to modern data warehouses — where queries run in the warehouse rather than in the BI tool are what seamless integration actually means for data teams. - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Integration with Active Directory, SharePoint, and the Microsoft Fabric ecosystem is described as genuinely seamless for organizations already in the Microsoft stack. - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Built to run directly on Snowflake (and BigQuery/Redshift) without extracting data. The architecture means live warehouse queries are the default mode, not an optional feature. - [Databricks](https://www.g2.com/products/databricks/reviews) **:** It is the warehouse-layer itself for many organizations, not a BI tool connecting to a warehouse, which means integration is inherently native. For organizations that treat Databricks as the processing layer and BI tools as the visualization layer on top, Databricks' own analytics features (via SQL Warehouses and notebooks) eliminate the need for a separate integration layer. - [Looker](https://www.g2.com/products/looker/reviews) **:** BigQuery is the most-named data warehouse in Looker's review base. LookML's push-down SQL architecture means all queries run in the warehouse (Snowflake, BigQuery, Redshift) rather than being extracted into Looker. #### **Which analytics solutions come with robust caching and performance optimization to maintain fast speeds at scale?** Caching and performance optimization matter when datasets are large, dashboards are complex, and business users can't wait for queries to resolve. - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer pre-aggregates at the warehouse layer specifically to make large dataset queries fast. For organizations where query latency on multi-billion row datasets is the blocking problem, Kyvos is the most purpose-built and best-validated option in the category on these dimensions. - [Databricks](https://www.g2.com/products/databricks/reviews) **:** Photon engine, Delta Lake caching, and auto-scaling compute architecture are the performance mechanisms at scale.  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Row Level Security, Premium capacity, and aggregation tables are the scale optimization toolkit. Performance at scale in Power BI is achievable but requires deliberate architecture, not automatic. - [Incorta](https://www.g2.com/products/incorta/reviews) **:** Direct data mapping eliminates the pre-aggregation step that creates scale bottlenecks in most BI tools, allowing ad-hoc queries against large transactional datasets to run without a separate aggregation cache.  #### **Which analytics platforms prevent incorrect conclusions by enforcing data governance and preventing metric manipulation?** I looked for analytics platforms with strong data governance features.  - [Looker](https://www.g2.com/products/looker/reviews) **:** LookML governance, real-time data access, and seamless integration with modern data warehouses together create the governed analytics environment enterprises need to prevent metric drift across teams. - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Addresses governance through Row Level Security, workspace permissions, and certified datasets, which restrict what data individual users can see and prevent unauthorized metric redefinition. - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** It defines metrics once at the semantic model level and enforces those definitions for every downstream query and dashboard.  - [Tableau](https://www.g2.com/products/tableau/reviews) **:** Governance approach is built around Tableau Server and Tableau Cloud — where published data sources become the certified metric layer that individual report builders consume rather than create.