# Best Predictive Analytics Tools and Software - Page 10

  *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)*

   Predictive analytics software mines and analyzes historical data patterns to predict future outcomes by extracting information from data sets to determine patterns and trends. Using a range of statistical analysis and algorithms, analysts use predictive analytics tools to build decision models, which business managers can use to plan for the best possible outcome. Analysts, business users, data scientists, and developers all use predictive analytics solutions to better understand customers, products, and partners and to identify potential risks and opportunities for a company.

Predictive analytics platforms enable organizations to use big data (both stored and real-time) to move from a historical view to a forward-looking perspective of the customer. These tools and techniques can be deployed both on premise (usually for enterprise users) and in the cloud. While the majority of predictive analytics software is proprietary, versions that are based on open-source technology do exist. Recent trends in software for predictive analytics show its integration with [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms), [ERP systems](https://www.g2.com/categories/erp-systems), or other [digital analytics software](https://www.g2.com/categories/digital-analytics).

To qualify for inclusion in the Predictive Analytics category, a product must:

- Mine and analyze structured and/or unstructured data 
- Create datasets and/or data visualizations from compiled data 
- Create predictive models to forecast future probabilities 
- Adapt to change and revisions 
- Allow import and export from office suites or other data-collecting channels 




  
## How Many Predictive Analytics Software Products Does G2 Track?
**Total Products under this Category:** 287

### Category Stats (May 2026)
- **Average Rating**: 4.45/5 (↑0.01 vs Apr 2026)
- **New Reviews This Quarter**: 107
- **Buyer Segments**: Enterprise 35% │ Small-Business 34% │ Mid-Market 31%
- **Top Trending Product**: SAS Visual Forecasting (+0.049)
*Last updated: May 18, 2026*

  
## How Does G2 Rank Predictive Analytics Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 30,100+ Authentic Reviews
- 287+ 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.

  
## Which Predictive Analytics Software Is Best for Your Use Case?

- **Leader:** [Tableau](https://www.g2.com/products/tableau/reviews)
- **Highest Performer:** [Nixtla](https://www.g2.com/products/nixtla/reviews)
- **Easiest to Use:** [Nixtla](https://www.g2.com/products/nixtla/reviews)
- **Top Trending:** [Tableau](https://www.g2.com/products/tableau/reviews)
- **Best Free Software:** [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews)

  
---

**Sponsored**

### Alteryx

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial.



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---

  ## What Are the Top-Rated Predictive Analytics Software Products in 2026?
### 1. [Fundamental NEXUS](https://www.g2.com/products/fundamental-nexus/reviews)
  The patterns were always there. Now NEXUS can see them. Integrates with your existing infrastructure. Secured for your most sensitive data.



**Who Is the Company Behind Fundamental NEXUS?**

- **Seller:** [Fundamental Technologies](https://www.g2.com/sellers/fundamental-technologies)
- **Year Founded:** 2024
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** https://www.linkedin.com/company/fundamentalhq/ (37 employees on LinkedIn®)



### 2. [G2M Platform](https://www.g2.com/products/g2m-platform/reviews)
  The G2M platform is a software-as-a-service offering by G2M Insights focused on making machine learning analytics simple and secure for midmarket and enterprise customers that may not have a full-fledged data science team. For most B2B sales and marketing predictive analytics, the G2M platform provides a streamlined solution connecting data sources, predictive models, and production systems of record with real-time predictive analytics.



**Who Is the Company Behind G2M Platform?**

- **Seller:** [G2M Insights](https://www.g2.com/sellers/g2m-insights)
- **Year Founded:** 2020
- **HQ Location:** Denver, US
- **LinkedIn® Page:** https://www.linkedin.com/company/g2mai (31 employees on LinkedIn®)



### 3. [GAINSystems](https://www.g2.com/products/gainsystems/reviews)
  GAINS Performance Optimization Platform for supply chain design and planning delivers rapid results by unlocking working capital, reducing operational costs, and improving service. With GAINS, supply chain teams can make all the right decisions at speed and scale, right-size inventory, improve performance, and fulfill customer promises. Companies of all sizes across distribution, manufacturing, retail, and service parts trust our decision automation, backed by ML, AI, and GAINS (P3)SM methodology. To learn more about GAINS, follow us on LinkedIn or visit www.gainsystems.com.like Graybar, Honda Motors, Menards, Rockwell Automation, Stuller and Textron Aviation. GAINS® is a registered trademark and Move Forward FasterSM and Proven-Path-to-Performance (P3) SM are service marks of GAINSystems. Other products mentioned in this document are registered, trademarked or service marked by their respective owners.


  **Average Rating:** 3.2/5.0
  **Total Reviews:** 3

**Who Is the Company Behind GAINSystems?**

- **Seller:** [GAINSystems](https://www.g2.com/sellers/gainsystems)
- **Year Founded:** 1971
- **HQ Location:** Atlanta, Georgia, United States
- **Twitter:** @GAINSystemsInc (181 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/gainsystems/ (159 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 67% Enterprise, 33% Mid-Market


### 4. [Goedle.io](https://www.g2.com/products/goedle-io/reviews)
  Goedle.io utilizes AI to predict customer behavior, automate customer engagement and help businesses drive higher customer lifetime value.



**Who Is the Company Behind Goedle.io?**

- **Seller:** [Goedle.io](https://www.g2.com/sellers/goedle-io)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Mid-Market


### 5. [GoodWork.ai](https://www.g2.com/products/goodwork-ai/reviews)
  The most powerful analytics AI ever created for the retail sector\_ · Built for merchandise, finance and operations teams.



**Who Is the Company Behind GoodWork.ai?**

- **Seller:** [GoodWork.ai](https://www.g2.com/sellers/goodwork-ai)
- **HQ Location:** Sydney, AU
- **LinkedIn® Page:** https://www.linkedin.com/company/goodwork-ai/ (18 employees on LinkedIn®)



### 6. [Graphite Note](https://www.g2.com/products/graphite-note/reviews)
  Graphite Note is a No-Code Predictive Analytics For Growth-Focused Teams Without AI Expertise. Build AI models from your data in minutes and bridge the gap between AI and business expertise. - Predict business outcomes with precision. #Predictive Analytics - Turn data into decisive action plans in a few clicks. #DecisionScience - Ideal for data analysts and domain experts without AI expertise. #NoCode



**Who Is the Company Behind Graphite Note?**

- **Seller:** [Hrvoje Smolic](https://www.g2.com/sellers/hrvoje-smolic)
- **HQ Location:** Killarney, IE
- **LinkedIn® Page:** https://www.linkedin.com/company/graphite-note/ (5 employees on LinkedIn®)



### 7. [GridCure](https://www.g2.com/products/gridcure/reviews)
  GridCure is a SaaS based predictive analytics that deals with concepts and practices of big data for electric utilities.



**Who Is the Company Behind GridCure?**

- **Seller:** [GridCure](https://www.g2.com/sellers/gridcure)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)



### 8. [Harmony-Business-Ai](https://www.g2.com/products/harmony-business-ai/reviews)
  Your Business-Profit Strategist — AI-powered business intelligence, analytics, and enterprise decision systems for product, strategy, market, finance, and manufacturing. Designed post marketing research from 1100 plus companies under patent layout framework by founder.



**Who Is the Company Behind Harmony-Business-Ai?**

- **Seller:** [Harmony-Business-Ai](https://www.g2.com/sellers/harmony-business-ai)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)



### 9. [IBM Z Anomaly Analytics](https://www.g2.com/products/ibm-z-anomaly-analytics/reviews)
  IBM Z Anomaly Analytics is software that provides intelligent anomaly detection to identify operational issues in your enterprise environment proactively. IBM Z Anomaly Analytics uses historical IBM Z log and metric data to build a model of normal operational behavior. Real-time data is then scored against the model to detect and alert IT operations of anomalous behavior.



**Who Is the Company Behind IBM Z Anomaly Analytics?**

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity (709,223 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (324,553 employees on LinkedIn®)
- **Ownership:** SWX:IBM



### 10. [Imubit](https://www.g2.com/products/imubit/reviews)
  Imubit is the leading provider of AI process optimization for refiners and chemical operators. The Imubit Closed-loop Neural Network Platform executes the plants’ money-making operational strategies continuously and consistently. Imubit’s platform interconnects various process units while aligning planning and economics, process engineering, process control and operations around the highest valued opportunities for closed loop optimization. To learn more about Imubit, please visit imubit.com.



**Who Is the Company Behind Imubit?**

- **Seller:** [Imubit](https://www.g2.com/sellers/imubit)
- **Year Founded:** 2016
- **HQ Location:** Houston, US
- **Twitter:** @Imubit1 (43 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/imubit/ (172 employees on LinkedIn®)



### 11. [InBet](https://www.g2.com/products/inbet/reviews)
  INBET is an algorithm that uses IA to navigate thousands of data points and come up with the best predictions for the upcoming matches. The algorithm has always been profitable in any 3 months period and as such we are comfortable to guarantee a $100 money back in case the algorithms are not profitable in any 3 month period.



**Who Is the Company Behind InBet?**

- **Seller:** [InBet](https://www.g2.com/sellers/inbet)
- **Year Founded:** 2018
- **HQ Location:** Porto, PT
- **LinkedIn® Page:** https://www.linkedin.com/company/inbet-sports-betting/ (3 employees on LinkedIn®)



### 12. [Insightaga](https://www.g2.com/products/insightaga/reviews)
  Digital Twin: Test Strategies Before Committing Capital Create a virtual model of your organization's dynamics. Simulate different strategic approaches and predict outcomes with 80%+ accuracy. So What Analysis: Transform root cause analysis into financial impact calculations and prioritized action recommendations, automatically. Your team identifies problems in customer interviews, but executives ask the same question every time: "So what?" Without quantified financial impact and clear recommendations, insights die in PowerPoint. See exactly how much revenue is at risk from each root cause. AI-generated action items ranked by impact and confidence. What took weeks now takes seconds Matrix Effort: Visualize initiative ROI on an effort/impact matrix. Calibrate with your business parameters. Build execution roadmaps. All quantified in seconds. Your leadership team asks "Which initiatives should we tackle first?" You need data, not opinions. Matrix Effort turns your So What Analysis into a visual portfolio optimizer with calibrated ROI projections and implementation timelines



**Who Is the Company Behind Insightaga?**

- **Seller:** [Insightaga](https://www.g2.com/sellers/insightaga)
- **Year Founded:** 2023
- **HQ Location:** Dallas, US
- **LinkedIn® Page:** https://www.linkedin.com/company/insightaga/ (5 employees on LinkedIn®)



### 13. [InsightLoop](https://www.g2.com/products/insightloop/reviews)
  Coresystems AG was founded in 2006 with the aim of creating innovative service solutions, initially as additional modules for the ERP system SAP Business One. With Coresuite, the company built a suite of products to help clients conduct their service operations more efficiently and with fewer repetitive tasks. Later, the company recognized the potential of cloud and mobile solutions for technicians and developed a field service management (FSM) solution that digitized service processes and became a concept for FSM software. Coresystems' success was recognized when their FSM solution was acquired by SAP in 2018 and is now a standard product in the SAP portfolio. Coresystems has been recognized as a leading company in field service management, offering innovative solutions that have been driving the industry forward. They have recently harnessed the power of AI and Machine Learning to serve mid-size and enterprise clients in all industries and independent of a specific ERP system with organizational insight tools and are aiming to become the top provider in this domain. Coresystems' advanced platform helps clients to save costs and improve their service performance by utilizing data to generate actionable insights. By leveraging existing data and modern machine learning techniques, businesses are able to optimize their operations by identifying issue root causes before the technician arrives on site. Coresystems focuses on proactive problem-solving and spare parts optimization, helping clients streamline their processes and enhance efficiency. With a deep understanding of each client's unique needs, they offer tailored solutions that deliver measurable results and elevate their competitive advantage.



**Who Is the Company Behind InsightLoop?**

- **Seller:** [Coresystems Ag](https://www.g2.com/sellers/coresystems-ag)
- **Year Founded:** 2006
- **HQ Location:** Stadtkreis 9, CH
- **LinkedIn® Page:** https://www.linkedin.com/company/coresystems-ag (37 employees on LinkedIn®)



### 14. [Intersect Labs](https://www.g2.com/products/intersect-labs/reviews)
  Intersect Labs enables anyone to do machine learning in 3 clicks. Companies big and small use Intersect Labs to empower business users to convert their historical data into predictions, enabling intelligent, data-driven decisions.



**Who Is the Company Behind Intersect Labs?**

- **Seller:** [Intersect Labs](https://www.g2.com/sellers/intersect-labs)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)



### 15. [Iron Mountain InSight Digital Experience Platform](https://www.g2.com/products/iron-mountain-insight-digital-experience-platform/reviews)
  By combining Iron Mountains content analytics, data management and information governance expertise with Google Clouds Machine Learning (ML) and Artificial Intelligence (AI) capabilities, you can mine your data to uncover new revenue stream opportunities and cost savings. Iron Mountain InSight is a cloud-native Content Services Platform that uses ML and AI to automatically classify, extract and enrich physical and digital content.



**Who Is the Company Behind Iron Mountain InSight Digital Experience Platform?**

- **Seller:** [Iron Mountain](https://www.g2.com/sellers/iron-mountain)
- **Year Founded:** 1951
- **HQ Location:** Boston, Massachusetts
- **Twitter:** @IronMountain (9,284 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3780/ (24,112 employees on LinkedIn®)
- **Ownership:** FRA:I5M



### 16. [Juris Mindcraft](https://www.g2.com/products/juris-mindcraft/reviews)
  A Malaysian based IT solutions company specializing in financial management softwares (Origination, credit & behavioral scoring, and collection and recovery).



**Who Is the Company Behind Juris Mindcraft?**

- **Seller:** [Juris Collect](https://www.g2.com/sellers/juris-collect)
- **Year Founded:** 2003
- **HQ Location:** Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
- **Twitter:** @myjuristech (100 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/juris-technologies/ (347 employees on LinkedIn®)



### 17. [Kahuna AI](https://www.g2.com/products/kahuna-ai/reviews)
  Kahuna Labs is the leader in Prescriptive AI for complex technical support, leveraging Agentic AI to automate problem diagnostics and issue resolution. By analyzing problem definition, customer context, and support ticket semantics and classifications, Kahuna builds a Troubleshooting Map™, providing a Navigator for support engineers, Auto Resolve for known issues. and Kai, an AI support engineer, for self-service. Kahuna customers are reducing response time by 50%+, cutting resolution time by 10-15%, and eliminating up to 50% of development escalations.



**Who Is the Company Behind Kahuna AI?**

- **Seller:** [Kahuna Labs](https://www.g2.com/sellers/kahuna-labs)
- **Year Founded:** 2023
- **HQ Location:** San Jose, US
- **LinkedIn® Page:** https://www.linkedin.com/company/kahuna-labs/ (18 employees on LinkedIn®)



### 18. [MarraData](https://www.g2.com/products/marradata/reviews)
  At MARRA Data, we specialize in delivering cutting-edge data science solutions that drive business success. Our team of experts is dedicated to helping you transform data into actionable insights.Our team in MarraData.ai are working with various Software tools utilizing our expertise in Data Science, Big Data.



**Who Is the Company Behind MarraData?**

- **Seller:** [MarraData](https://www.g2.com/sellers/marradata)
- **Year Founded:** 2015
- **HQ Location:** Carlsbad, US
- **LinkedIn® Page:** https://www.linkedin.com/company/marra-data (7 employees on LinkedIn®)



### 19. [METACODER](https://www.g2.com/products/metacoder/reviews)
  "Metacoder is used primarily to assist predictive analytics professionals in their job. We offer interfaces for database integrations, data cleaning, preprocessing, modeling, and display/interpretation of results. We help organizations distribute their work transparently by enabling model sharing, and we make management of the machine learning pipeline easy to make tweaks. Soon we will be including code free solutions for image, audio, video, and biomedical data."



**Who Is the Company Behind METACODER?**

- **Seller:** [METACODER](https://www.g2.com/sellers/metacoder)
- **Year Founded:** 2020
- **HQ Location:** Michigan, US
- **LinkedIn® Page:** https://www.linkedin.com/company/metacoder-ai (4 employees on LinkedIn®)



### 20. [Monument](https://www.g2.com/products/monument/reviews)
  Monument is a no-code machine intelligence platform, offering users an unprecedented capability for single-platform historical-data + ML analytics + batch or streaming-data, all in one high-productivity environment. Users in finance, insurance, retail, and operations enjoy the ability to apply predictive analytics without a massive IT budget and extensive data scientist and "ML ops" staffing. Users in high-security and high-privacy environments enjoy performance and portability between cloud, hybrid-cloud, and local machines. Monument is highly optimized for hardware performance across large or small data sets. It can scale seamlessly on a laptop or to the cloud. Machine intelligence models are completely portable across hardware from IoT to HPC, without complex retraining and intricate code modification.



**Who Is the Company Behind Monument?**

- **Seller:** [MonumentAI](https://www.g2.com/sellers/monumentai)
- **Year Founded:** 2017
- **HQ Location:** New York, US
- **LinkedIn® Page:** https://www.linkedin.com/company/1341331 (2 employees on LinkedIn®)



### 21. [Moveo One](https://www.g2.com/products/moveo-one/reviews)
  Moveo One can predict any behavior inside your app - from churn and conversions to onboarding drop-offs, feature usage, purchase intent, paywall choices, and custom events. Rather than reporting past data, it forecasts future actions using AI, neuroscience, and behavioral modeling. You can connect Moveo One to tools like PostHog, Mixpanel, or Amplitude, or run it as a standalone platform. Setup takes just minutes with a lightweight tracking snippet, after which the models begin learning immediately. The outcome is clear: higher conversions, reduced churn, and a powerful predictive edge.



**Who Is the Company Behind Moveo One?**

- **Seller:** [Moveo One](https://www.g2.com/sellers/moveo-one)
- **Year Founded:** 2019
- **HQ Location:** Grad Beograd, rs
- **LinkedIn® Page:** https://www.linkedin.com/company/divs-neuroinformatics/ (7 employees on LinkedIn®)



### 22. [Neuron Soundware](https://www.g2.com/products/neuron-soundware/reviews)
  We specialize in predictive maintenance of machines by their sound. By leveraging power of AI and custom made HW we are able to detect anomalies, spot trends and patterns, assess the quality etc. Neuron Soundware was founded in 2016 as a deep tech company by a team of machine learning experts, with extensive experience in industrial, mechanical, electrical and software engineering, research and development projects and software development, with the objective of becoming a major actor in predictive maintenance. In the manufacturing industry, sound and vibration seem to be the simplest method of diagnostics of a mechanical malfunction. However, an understanding of the sound is a hard task and humans are still frequently used during the quality controls. By leveraging neural networks and state of the art IoT devices, Neuron Soundware provides an innovative digitization and analytics platform that enables manufacturers to monitor their critical machinery by its sound. What it means for our customers is that we can: - reduce their maintenance and repair costs, - reduce downtime, - digitize the manufacturing process, - improve overall equipment effectiveness (OEE).



**Who Is the Company Behind Neuron Soundware?**

- **Seller:** [Neuron Soundware](https://www.g2.com/sellers/neuron-soundware)
- **Year Founded:** 2016
- **HQ Location:** Prague 4, CZ
- **LinkedIn® Page:** https://www.linkedin.com/company/neuron-soundware (15 employees on LinkedIn®)



### 23. [NLSQL AI Anomaly Detector](https://www.g2.com/products/nlsql-ai-anomaly-detector/reviews)
  AI Anomaly Detector: Proactively Identifying Data Anomalies AI Anomaly Detector is designed to perform regular anomaly checks on your data. Upon detecting any anomaly, it notifies company employees, providing users with insights for further research and encouraging them to ask questions about the underlying reasons. This proactive approach ensures your team stays ahead of the curve, reacting faster to turbulent market conditions in today’s ever-evolving landscape.



**Who Is the Company Behind NLSQL AI Anomaly Detector?**

- **Seller:** [NLSQL Limited](https://www.g2.com/sellers/nlsql-limited)
- **Year Founded:** 2018
- **HQ Location:** London, GB
- **Twitter:** @nlsql (70 Twitter followers)
- **LinkedIn® Page:** http://www.linkedin.com/company/nlsql-com (10 employees on LinkedIn®)



### 24. [NOORAI Platform](https://www.g2.com/products/noorai-platform/reviews)
  NOORAI is an AI-powered decision intelligence platform that helps organizations turn complex, fragmented data into clear, confident decisions. We unify enterprise and external data into a single environment, enabling teams to interact with their data conversationally, generate real-time insights, and move from analysis to action faster. With NOORAI, organizations can: - Integrate data across systems, APIs, files, and external sources - Interact using natural language - Generate AI-driven insights, dashboards, and reports - Forecast outcomes and run “what-if” scenarios - Assess the impact of market shifts, inflation, and macroeconomic trends on business performance - Automate analytics and decision workflows within a secure, enterprise-grade platform



**Who Is the Company Behind NOORAI Platform?**

- **Seller:** [NOORAI](https://www.g2.com/sellers/noorai)
- **Year Founded:** 2024
- **HQ Location:** Boston , US
- **LinkedIn® Page:** https://www.linkedin.com/company/noorai/ (11 employees on LinkedIn®)



### 25. [NXG Logic Explorer](https://www.g2.com/products/nxg-logic-explorer/reviews)
  NXG Logic Explorer is a Windows machine learning package for data analytics, predictive analytics, unsupervised class discovery, supervised class prediction, and simulation.



**Who Is the Company Behind NXG Logic Explorer?**

- **Seller:** [NXG Logic](https://www.g2.com/sellers/nxg-logic)
- **Year Founded:** 2016
- **HQ Location:** Houston, US
- **LinkedIn® Page:** http://www.linkedin.com/company/nxglogic-llc (1 employees on LinkedIn®)




    ## What Is Predictive Analytics Software?
  [Analytics Tools & Software](https://www.g2.com/categories/analytics-tools-software)
  ## What Software Categories Are Similar to Predictive Analytics Software?
    - [Analytics Platforms](https://www.g2.com/categories/analytics-platforms)
    - [Embedded Business Intelligence Software](https://www.g2.com/categories/embedded-business-intelligence)
    - [Marketing Analytics Software](https://www.g2.com/categories/marketing-analytics)
    - [Machine Learning Software](https://www.g2.com/categories/machine-learning)
    - [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)
    - [Statistical Analysis Software](https://www.g2.com/categories/statistical-analysis)
    - [Time Series Intelligence Software](https://www.g2.com/categories/time-series-intelligence)

  
---

## How Do You Choose the Right Predictive Analytics Software?

### What You Should Know About Predictive Analytics Software

### What are predictive analytics tools and software?

Predictive analytics software is all about making business outcomes predictable. Data scientists and data analysts can do this by using data mining and predictive modeling to analyze historical data. By better understanding the past, businesses can gain insights into the future. [Predictive analytics](https://www.g2.com/articles/predictive-analytics) is a step further than general [business intelligence](https://www.g2.com/glossary/business-intelligence-definition), which companies use to pull actionable insights from their data sets. Instead, users can develop [machine learning algorithms](https://www.g2.com/articles/what-is-machine-learning) and predictive models to help forecast and achieve business-critical numbers.

The reason businesses can hit those critical numbers and become more predictive is due to the boom of big data. Companies can harness their data like never before. By recording and owning more and more historical and real-time data, data scientists have larger sample sizes to work with, meaning they can be much more accurate. Additionally, companies investing in predictive analytics without ensuring that their data is accurate, clean, and accessible will ultimately be wasting their time. However, those who can wrangle their data properly will create a significant competitive edge and hold an advantage in the market.

### Benefits of using predictive analytics tools

- Accurately predict and forecast revenue numbers based on a wide range of variables
- Understand and account for customer churn and retention
- Predict employee churn based on historical factors for turnover
- Make more precise, data-driven decisions in all departments based on available data
- Determine both risks and opportunities that were otherwise hidden within company data

### Why use predictive analytics solutions?

There are a number of applications for predictive analytics software and reasons businesses should adopt them, but they all boil down to understanding what has happened in the past, what could happen in the future, and what should be done to ensure positive business outcomes. These are considered [descriptive analytics, predictive analytics, and prescriptive analytics](https://www.g2.com/articles/types-of-data-analytics).

**Descriptive Analytics (understanding the past) —** Descriptive analytics deals with understanding what has happened in the past and how it has influenced where a business is in the present. This means undergoing data mining on a company’s historical data. This type of analysis can be obtained by using business intelligence tools, big data analytics, or time-series data. Regardless of how it is attained, providing descriptive analytics is a key foundation of predictive analytics and creating data-driven decision-making processes. It requires thorough data preparation and organizing the data for easy descriptive analysis.

**Predictive Analytics (knowing what is possible) —** Predictive analytics allows users and businesses to know and anticipate potential outcomes. Building predictive models based on descriptive analysis can ensure that businesses do not make the same mistake twice. It can also provide more accurate forecasting and planning, which helps to optimize efficiency. Ultimately, this analysis makes the unknown known.

**Prescriptive Analytics (so now what?) —** The final step and ultimate reason for using predictive analytics tools is to make clear actions based on the suggestions and recommendations of the predictive models. This is where machine learning and deep learning functionality come into play. Some predictive analytics solutions can provide actionable insights without human intervention. For example, it can provide a short list of sales accounts that should close quickly based on several variables. Becoming prescriptive takes analytics a step further and is the ultimate reason for adopting advanced, predictive analytics.

### Who uses predictive analytics platforms?

To fully take advantage of predictive analytics platforms, businesses need to hire highly skilled data scientists with knowledge in machine learning development and predictive modeling. These skilled workers are not abundant, so they are often paid very well. Dedicating financial resources to these positions may not be an option for every company, but those who can afford data scientists have a leg up on the competition.

While data scientists or data analysts are the employees tasked with using predictive analytics software, there are many industries and departments that can be impacted by using predictive analytics:

**Manufacturing and Supply Chain—** One area that can be greatly enhanced by using predictive analysis is demand planning for manufacturing companies. With more accurate forecasting, businesses can avoid risks like shortages and surpluses. Additionally, companies can become predictive about quality management and production issues. By analyzing what has caused production failures in the past, companies can anticipate and avoid production breakdowns in the future.

Distribution is another major aspect of the supply chain that can be further optimized with predictive modeling. By better estimating where goods will need to be delivered and the risks that may hold up distribution modes, businesses can provide better service and more efficiently deliver their products to customers. Taking into account historical data, such as weather, traffic, and accident records, shipping can become a more precise science.

**Retail —** Retail is another industry that is ripe for optimization with the help of predictive analytics. Retail predictive analytics can provide businesses with insights on everything from pricing optimization to understanding how shoppers navigate brick-and-mortar stores for better in-store organization of merchandise. E-commerce businesses can track these factors in a much more efficient manner. All e-commerce interactions can be recorded into a database and influenced by predictive models. This is one of the main reasons Amazon has been so successful and disruptive to brick-and-mortar retailers. Every decision can be made predictive with the help of data.

**Marketing and Sales —** Being able to predict the actions of customers and prospects is an invaluable service for any business. Marketing teams can leverage predictive analytics software to project how marketing campaigns may perform, which segment of prospects to target with ads, and the potential conversion rates of each campaign. Understanding how these efforts impact the bottom line is critical to the success of marketing teams and translates into a much more efficient and productive sales team. At the same time, sales teams can leverage predictive modeling in such areas as lead scoring, determining which accounts to target first because they have a higher chance of closing. Ensuring that sales representatives are working smarter instead of harder means more revenue. A few [CRM](https://www.g2.com/categories/crm) and [marketing automation solutions](https://www.g2.com/categories/marketing-automation) provide some level of predictive functionality, but data scientists can separately funnel that data into dedicated predictive analytics tools to find cross-departmental correlations.

**Financial Services—** The banking industry has long been ripe for disruption, but financial administrations are using predictive analytics solutions to better predict risk. Historical data can power predictive analytics software to predict fraudulent transactions and determine credit risks, among other functions.

### Types of predictive analytics software

Predictive modeling is a complex science that requires years of training to understand. There is a reason data scientists are in high demand: not many people have a complete grasp of how to build predictive models. There are two main types of predictive models: classification and regression models.

**Classification Models—** Simply put, classification puts a piece of data into a bucket or a class and labels it as such. Classification models essentially label data based on what an algorithm has already learned. The ultimate goal of classification models is to accurately bucket new data points into the proper classes so that the data can become predictive and prescriptive.

**Regression Models—** Regression models analyze the relationship between two separate data points and help forecast what happens when they are placed side by side. For example, in baseball, teams may perform a regression analysis on the relationship between the number of fastballs thrown and the number of home runs hit.

**Decision Trees —** One common type of classification model is a decision tree. These models predict several possible outcomes based on a variety of inputs. For example, if a sales team builds $1 million in a pipeline, they can close $100,000 in revenue, but if they create $10 million in a pipeline, they should be able to close $1 million in revenue.

**Neural Networks—** Neural networks, known in the AI world as artificial neural networks, are extremely complex predictive models. These models can predict and analyze unstructured, nonlinear relationships between data points. These solutions provide pattern recognition and can help track anomalies. Artificial neural networks were originally created and built to mimic the synapses and neural aspects of the human brain. They are one of the contributing factors to the accelerated growth in artificial intelligence and deep learning.

Other types of predictive modeling include Bayesian analysis, memory-based reasoning, k-nearest neighbor, support vector machines, and time-series data mining.

### Potential issues with predictive analytics software solutions

**Lack of Skilled Employees—** The main issue with adopting predictive analytics software is the need for a skilled data scientist to interact with the data and build the models. There is a distinct skill gap in terms of finding users who understand how to pull data and build models and the implications that the data has on the overall business. For this reason, data scientists are in very high demand and, thus, expensive.

**Data Organization—** Many companies face the challenge of organizing data so that it can be easily accessed. Harnessing big data sets that contain historical and real-time data is not easy in today's world. Companies often need to build a data warehouse or a data lake that can combine all the disparate data sources for easy access. This, again, requires highly knowledgeable employees.

### Software and services related to predictive analytics tools

Predictive analytics software relates to many other analytics and [artificial intelligence software](https://www.g2.com/categories/artificial-intelligence) categories.

[**Machine Learning Software**](https://www.g2.com/categories/machine-learning) **—** Machine learning algorithms are a key component of building effective predictive models. Many machine learning algorithms are built to provide recommendations or suggestions, which is also the end goal of predictive analytics software. Developers use these tools to embed machine learning inside applications, often to provide predictive and prescriptive analysis.

[**Business Intelligence Platforms**](https://www.g2.com/categories/business-intelligence) **—** These tools are the traditional analytics solutions used to understand a company’s data. Data analysts use BI platforms to visualize and understand how specific actions impact business-critical initiatives. Some of these platforms offer predictive features, but their core purpose is not predictive modeling.

[**Big Data Analytics**](https://www.g2.com/categories/big-data-analytics) **—** Big data analytics software, like business intelligence platforms, often provides predictive modeling functionality. However, these solutions are used more to track real-time data than to understand historical data. Big data analytics software connects to Hadoop or proprietary Hadoop distributions to better understand structured and unstructured data. These same data sources may be important for data scientists who are tasked with building predictive models.