# Best Financial Analytics Tools - Page 11 *By [Nathan Calabrese](https://research.g2.com/insights/author/nathan-calabrese)* Financial analytics is the process of applying analytical techniques to financial data to gain insights, make informed decisions, and improve financial performance. It involves collecting, cleaning, and analyzing financial data from various sources, such as financial statements, market data, and economic indicators. Financial analytics software carries out robust data analysis on investment-related data sets. Investment managers use these solutions to pull all investment portfolio data and then query and manipulate it to answer investment-related questions. Investment and fund managers leverage financial analytics software to build reports, identify potential investment opportunities, and vet those opportunities. Financial analytics tools often offers customizable tagging features that allow users to tag and store data in whichever way they need. Investment professionals use solutions in this category to evaluate past investment decisions, monitor current holdings, and strategize future investments. Financial analytics software is a part of the [financial services software](https://www.g2.com/categories/financial-services) ecosystem. These applications often import investment data from third-party sources. Additionally, financial analytics software can be integrated with other financial services software, such as portfolio management systems and trading platforms, to create a seamless workflow. To qualify for inclusion in the Financial Analytics category, a product must: - Contain financial data aggregation capabilities - Build investment portfolio reports - Track investment portfolio performance with segmented filtering - Provide investment attribution functionality ## How Many Financial Analytics Software Products Does G2 Track? **Total Products under this Category:** 179 ### Category Stats (Jun 2026) - **Average Rating**: 4.43/5 (↑0.01 vs May 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Strike (+3.71%) - Among all products in this category, Strike recorded the largest rating increase compared to last month *Last updated: June 24, 2026* ## How Does G2 Rank Financial Analytics Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 1,000+ Authentic Reviews - 179+ 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 Financial Analytics Software Is Best for Your Use Case? - **Leader:** [Amazon Finspace](https://www.g2.com/products/amazon-finspace/reviews) - **Highest Performer:** [Asset-Map](https://www.g2.com/products/asset-map/reviews) - **Easiest to Use:** [Asset-Map](https://www.g2.com/products/asset-map/reviews) - **Top Trending:** [Koyfin](https://www.g2.com/products/koyfin/reviews) - **Best Free Software:** [Asset-Map](https://www.g2.com/products/asset-map/reviews) --- **Sponsored** ### Nasdaq eVestment™ Nasdaq eVestment™ is the definitive source for Institutional Investment Intelligence -bringing transparency and efficiency to the global institutional market. As a primary data-driven intelligence platform for managers, asset owners, and consultants, we empower our clients to make data-driven decisions, deploy their resources more productively and ultimately realize better outcomes. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1583&secure%5Bdisplayable_resource_id%5D=1583&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1583&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=36416&secure%5Bresource_id%5D=1583&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Ffinancial-analytics%3Fpage%3D11&secure%5Btoken%5D=878160647c2dddb233f396063a1def142689884e2817c84683bfd570af143e94&secure%5Burl%5D=https%3A%2F%2Fwww.nasdaq.com%2Fsolutions%2Fevestment%2Fppc%3Futm_medium%3Dppc%26utm_source%3Dg2%26utm_campaign%3DAnalytics_eVestment_G2_PPC&secure%5Burl_type%5D=custom_url) --- ## What Is Financial Analytics Software? [Financial Services Software](https://www.g2.com/categories/financial-services) ## What Software Categories Are Similar to Financial Analytics Software? - [Financial Research Software](https://www.g2.com/categories/financial-research) - [Investment Portfolio Management Software](https://www.g2.com/categories/investment-portfolio-management) --- ## How Do You Choose the Right Financial Analytics Software? ### What You Should Know About Financial Analytics Software ### What is Financial Analytics Software? Financial analytics software helps financial services professionals visualize and extract insights from financial data. These solutions are vital tools for financial professionals, particularly those who manage investment portfolios on behalf of clients. Financial analytics tools typically include robust reporting functionality, analytics dashboards, [data visualization](https://www.g2.com/articles/data-visualization)features, the ability to ingest data from multiple sources, data tagging capabilities, and investment attribution features. At their core, financial analytics services are used to evaluate data and build investment strategies. Financial analytics solutions differ from financial analysis software, which is software designed for internal finance teams responsible for [budget management](https://www.g2.com/glossary/budget-management-definition), cash flow, producing financial statements, managing balance sheets, and general financial management of industry-agnostic businesses.  For example, a financial analyst at a hedge fund is looking to parse historical market data to help a client make the soundest investment in a specific sector. They would use financial analytics tools to help digest the relevant data, manipulate it, visualize it, and analyze it. With the product of the analysis, the financial analyst can provide their client with recommendations on what investments to make. After the investment, the analyst or portfolio manager can utilize the financial analytics platforms to produce reports on investment performance and track gains and losses within specific segments.  ### What are the Common Features of Financial Analytics Software? The following are some core features of financial analytics software that can help users: - **Data ingestion:** These tools ingest data from a variety of data sources. The data will include market prices, the percentage change in price over various periods, trading volume, and more. The data a given solution ingests and the data sources it uses help traders make better investment decisions and get better at [forecasting](https://www.g2.com/categories/budgeting-and-forecasting). These solutions can act as a replacement for Excel documents, which traders have historically used quite heavily.  - **Reporting:** Financial analytics software produces reports based on [investment analysis](https://www.g2.com/glossary/investment-analysis-definition) and market data. These reports can help users shape future investment strategies. Some solutions include strategy-specific tools where users can test specific scenarios to see how they might play out with different market inputs. Users can produce forecast reports using financial analytics services.  - **Data tagging:** Financial analytics platforms allow users to create tags for and attribute those tags to specific types of data, helping users keep track of them. Data tagging can be used to organize and manipulate data as a given trader wants, allowing the business to automate portions of the process of dealing with historical investment data later on.  - **Data visualization:** These financial analytics platforms can produce visualizations of real-time and historical data. Most solutions contain pre-built visualization types for users to choose from. If available, users can make use of pattern recognition tools to automate previously manual parts of the process and produce custom visualizations within a financial analytics tool.  - **Dashboards:** These financial analytics software contain dashboards for users to have a single-pane view of a specific investment type or portfolio. From this dashboard, users can check on the profitability of specific investments. Users can analyze [cash flow management](https://www.g2.com/categories/cash-flow-management) within specific publicly traded companies as part of the inputs for their investment strategy if significant positive cash flow is an important indicator for future success for a particular trading strategy.  ### What are the Benefits of Financial Analytics Software? The following are the benefits of using the best financial analytics tools. - **Improved investment performance:** Financial analytics software can help investment funds and investors improve profitability and introduce more stability to their investment performance.  - **Real-time portfolio analysis:** Traders use financial analytics solutions to automate portions of their workflows related to [portfolio management](https://www.g2.com/glossary/portfolio-management-definition). Users can streamline a great deal of the grunt work when it comes to analysis, allowing them to get better at financial planning for their customers and focus on improving their decision making.  - **Data-driven insights:** Financial analytics platforms provide data-driven insights that can help businesses make informed decisions. - **Identifying cost-saving opportunities:** By analyzing spending patterns and identifying inefficiencies, businesses can reduce costs. - **Enhanced forecasting:** By analyzing historical data and current trends, businesses can make more accurate predictions about future performance. ### Who Uses Financial Analytics Tools? - **Financial analysts:** Financial analysts use the best finance analytics software to analyze historical data, predict future market movements, keep up to date with market trends and trading-related information, and help with recommendations regarding investment decisions.  - **Portfolio managers:** Portfolio managers may use financial analytics software to check in on portions of their client's investment performances and help produce sound investment strategies based on data. Typically, portfolio managers will interact with clients via their [investment portfolio](https://www.g2.com/glossary/investment-portfolio-definition) management solution, which often contains a client portal through which they share vital information.  ### Software Related to Financial Analytics Software Related solutions that can be used together with financial analytics software include: - [Investment portfolio management software](https://www.g2.com/categories/investment-portfolio-management) **:** Finance analytics software often integrates with investment portfolio management software. Investment portfolio management tools may contain basic analytics features, but traders will want to use a dedicated financial analytics solution for sound decision-making.  - [Financial predictive analytics software](https://www.g2.com/categories/financial-predictive-analytics) **:** Financial analytics tools sometimes contain predictive analytics functionality, and the future will likely see the two spaces overlap significantly. Predictive analytics tools look to the future, playing out investment scenarios based on historical data, often using machine learning technology to bolster the strength of their insights. ### Challenges with Financial Analytics Software The best financial analytics software solutions can come with their own set of challenges.  - **Data quality:** The quality of the analysis that the best financial analytics tools can produce will always be limited by the quality of the data it ingests. Quality, in this case, is two-fold. The first aspect is the actual accuracy of the data. Accurate data is a must. The second aspect of data quality is the variety of data the solution ingests and deals with. A bare-bones financial analytics tool may only be designed to pull data from a few sources. A robust solution may pull in additional data that could be vital indicators of future investment performance, particularly in newer or little-understood markets, driving deeper insights and improved financial performance.  - **Depth of analysis:** Surface-level analysis is fine for surface-level decision making, but the analysis should contain significant depth for large dollar-amount decisions or investments in emerging markets. Finance analytics software with comprehensive feature sets which allow for large degrees of tinkering and customization will enable users to produce a complete analysis with actionable insights.  ### Cost of Financial Analytics Tools The cost of the best financial analytics software can vary significantly depending on several factors, including: - **Software vendor:** Different vendors offer different pricing models, ranging from subscription-based to perpetual licenses. - **Features:** More advanced features and capabilities often come with higher costs. - **Deployment model:** Cloud-based solutions may have lower upfront costs but higher recurring fees, while on-premises solutions may have higher upfront costs but lower ongoing expenses. - **Scalability:** The scalability of the software, especially for growing businesses, can impact the overall cost. - **Customization:** Customizations and integrations with other systems may incur additional costs. - **Support:** Ongoing support and maintenance contracts can add to the total cost of ownership.    **Pricing models:** - **Subscription-based:** A recurring fee based on the number of users or the level of usage. Basic tools can start as low as $10 per user per month. More advanced tools can go up to $1,000 per user per month. - **Perpetual License:** A one-time fee for the software license, often with additional fees for maintenance and support.   - **Hybrid Models:** A combination of subscription and perpetual licensing, offering flexibility and cost control. **_Note:_** _To get a more accurate estimate of the cost, it's recommended to contact the specific software vendors and discuss your requirements. They can provide detailed pricing information of the best financial analytics tools and tailored solutions._ ### How to Buy Financial Analytics Software #### Requirements Gathering (RFI/RFP) for Financial Analytics Software The company should put together a requirements list with the end user in mind and a keen understanding of the business’s existing tech stack and how a given solution will fit in so that the buying committee can make informed decisions. Financial data is particularly valuable to bad actors. Its value makes it vulnerable, so financial analytics solutions which deal with sensitive client data should be particularly secure. #### Compare Financial Analytics Software Products **Create a long list** The long list should include all solutions that meet the core functionality that the business requires. Price should not be a factor at this stage unless completely prohibitive for specific budgets.  **Create a short list** The short list should include more solutions with nice-to-have functionality and core functionality. This is where the prospective buyer should dive into [return on investment (ROI)](https://www.g2.com/glossary/return-on-investment-definition), product adoption, and training strategies.  **Conduct demos** The demo process should include all relevant questions from stakeholders. Specific scenarios likely to occur during daily operations should be addressed during the process.  #### Selection of Financial Analytics Software **Choose a selection team** The selection team should comprise a user, a security stakeholder, an IT person with deep knowledge of the organization’s existing tech stack, a privacy professional to sign off on any data handling or permissions concerns, and representatives for any other personas who will have significant interactions with the tool.  **Final decision** The final decision should be made by the consensus of the selection committee. If there is hesitation from any group members, significant strides should be made to address the concerns in full before making a decision.