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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 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, 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.
The following are some core features of financial analytics software that can help users:
The following are the benefits of using the best financial analytics tools.
The best financial analytics software solutions can come with their own set of challenges.
The cost of the best financial analytics software can vary significantly depending on several factors, including:
Pricing models:
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.
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.
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), 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.
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.