Solutions Review’s listing of the best cloud BI tools for finance is an annual mashup of products that best represent current market conditions, according to the crowd. Vendors are assessed if they have a dedicated offering designed for professionals in this industry.
The editors at Solutions Review have developed this resource to assist buyers in search of the best cloud BI tools for finance to fit the needs of their organization and use case. Choosing the right vendor and solution can be a complicated process — one that requires in-depth research and often comes down to more than just the solution and its technical capabilities. To make your search a little easier, we’ve profiled the best cloud BI tools for finance providers all in one place. We’ve also included links to each company’s industry-specific product pages so you can learn more.
Note: The best cloud BI tools for finance are listed in alphabetical order.
The Best Cloud BI Tools for Finance
Altair offers an open, scalable, unified, and extensible data analytics platform with integrated data transformation and predictive analytics tools. Desktop-based data preparation is available via Altair Monarch, while Knowledge Hub features team-driven data prep and a centralized data marketplace to speed collaboration and governance. Machine learning and predictive analytics are made available inside Knowledge Studio. Altair Panopticon houses the company’s streaming processing and real-time visualization capabilities.
Alteryx is a self-service data analytics software company that specializes in data preparation and data blending. Alteryx Analytics allows users to organize, clean, and analyze data in a repeatable workflow. Business analysts find this tool particularly useful for connecting to and cleansing data from data warehouses, cloud applications, spreadsheets and other sources. The platform features tools to run a variety of analytic jobs (predictive, statistical, spatial) inside a single interface.
AnswerRocket offers a search-powered data analytics platform designed for business users. The product enables you to ask business questions in natural language, and no technical skills are needed to run reports or generate analysis. AnswerRocket features a combination of AI and machine learning, as well as advanced analytic functionality. The platform can also automate manual tasks and answer ad hoc questions quickly. AnswerRocket is mobile-friendly and includes native voice recognition.
BOARD combines business intelligence, performance management, and predictive analytics into one platform. As a result, any change to data, data models, security profiles or business rules is immediately propagated to every application. The solution provides all the tools required to create and update databases, data presentations, analyses, and process models. The company also offers BOARD Cloud, a SaaS version of the platform, backed by Microsoft Azure.
Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision-making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone across the organization through automated insights that can be easily shared with internal or external stakeholders.
IBM offers an expansive range of BI and analytic capabilities under two distinct product lines. The Cognos Analytics platform is an integrated self-service solution that allows users to access data to create dashboards and reports. IBM Watson Analytics offers a machine learning-enabled user experience that includes automated pattern detection, support for natural language query and generation, and embedded advanced analytics capabilities. IBM’s BI software can be deployed both on-prem or as a hosted solution via the IBM Cloud.
Infor Birst is a cloud-based analytics solution that connects an organization using a network of interwoven virtualized BI instances. The provider’s flagship product is its Networked BI platform. The tool features an adaptive user experience, multi-tenant cloud architecture, user data tier, and a completely virtualized data ecosystem. These capabilities enable use of BI across multiple regions, product lines, departments, and customers. Customers most commonly use the product for BI provisioning, and because it is cloud-based, decentralized analytics as well.
MicroStrategy merges self-service data preparation and visual data discovery in an enterprise BI and analytics platform. MicroStrategy provides out-of-the-box gateways and native drivers that connect to any enterprise resource, including databases, mobile device management (MDM) systems, enterprise directories, cloud applications, and physical access control systems. Its embedded analytics tool allows MicroStrategy to be embedded in other web pages and applications such as portals, CRM tools, chatbots, and even voice assistants like Alexa.
Oracle offers a broad range of BI and analytics tools that can be deployed on-prem or in the Oracle Cloud. The company provides traditional BI capabilities inside its Business Intelligence 12c solution. Oracle Data Visualization provides more advanced features and allows users to automatically visualize data as drag-and-drop attributes, charts, and graphs. The tool also enables users to save snapshots of an analytical moment-in-time via story points.
Pyramid Analytics offers data and analytics tools through its flagship platform, Pyramid v2020. The solution touts a server-based, multi-user analytics OS environment that provides self-service capabilities. Pyramid v2020 features a platform-agnostic architecture that allows users to manage data across any environment, regardless of technology. The tool enables those users to prepare, model, visualize, analyze, publish, and present data from web browsers and mobile devices.
Qlik offers a broad spectrum of BI and analytics tools, which is headlined by the company’s flagship offering, Qlik Sense. The solution enables organizations to combine all their data sources into a single view. The Qlik Analytics Platform allows users to develop, extend and embed visual analytics in existing applications and portals. Embedded functionality is done within a common governance and security framework. Users can build and embed Qlik as simple mashups or integrate within applications, information services or IoT platforms.
SAP offers a broad range of BI and analytics tools in both enterprise and business-user driven editions. The company’s flagship BI portfolio is delivered via on-prem (BusinessObjects Enterprise), and cloud (BusinessObjects Cloud) deployments atop the SAP HANA Cloud. SAP also offers a suite of traditional BI capabilities for dashboards and reporting. The vendor’s data discovery tools are housed in the BusinessObjects solution, while additional functionality, including self-service visualization, are available through the SAP Lumira tool set.
Sigma Computing offers a no-code business intelligence and analytics solution designed for use with cloud data warehouses. The product features an intuitive, spreadsheet-like user interface that provides users with the familiarity of Excel. Guided data warehouse access ensures that data remains secure, compliant, and in context. When users take action in Sigma, it automatically translates them into SQL. All queries are run live against the cloud data warehouse, and the results are passed back to Sigma.
Sisense makes it easy for organizations to reveal business insight from complex data in any size or format. The product allows users to combine data and uncover insights in a single interface without scripting, coding or assistance from IT. Sisense is sold as a single-stack solution with a back end for preparing and modeling data. It also features expansive analytical capabilities and a front-end for dashboarding and visualization. Sisense is most appropriate for organizations that want to analyze large amounts of data from multiple sources.
Tableau offers an expansive visual BI and analytics platform and is widely regarded as the major player in the marketplace. The company’s analytic software portfolio is available through three main channels: Tableau Desktop, Tableau Server, and Tableau Online. Tableau connects to hundreds of data sources and is available on-prem or in the cloud. The vendor also offers embedded analytics capabilities, and users can visualize and share data with Tableau Public.
ThoughtSpot is heavily influenced by artificial intelligence and automation. While it may seem complex, ease of use is a strength of the product. It features a full-stack architecture and intuitive insight generation capabilities via the in-memory calculation engine. A distributed cluster manager provides customizable scaling options, and support for existing ETL solutions ensures proper connectivity to desired data sources. ThoughtSpot Embrace allows you to run search and AI analytics directly in existing databases and supports Google Cloud Storage.
Zoho Analytics is a self-service BI and data analytics tool that lets you incorporate data from a wide range of sources, blend it together, and create cross-functional reports and dashboards. The product features a drag-and-drop designer, as well as different visualization tools to drill down to specifics. A “smart” assistant called Zia can answer questions in the form of reports and KPI widgets via AI, machine learning, and natural language processing. Users can share and publish reports and smart data alerts ping you when outliers or anomalies happen.