Top Banking Analytics Solution Companies
Tableau Software: Interpreting Data

Top 10 Banking Analytics Solution Companies - 2017

Today’s data-driven banking industry portrays a scenario where analytics is paving a productive path for banks, by offering meaningful insights on their underlying data. Although basic reporting and descriptive analytics are prevalent in the banking sector, the need of the hour is advanced predictive and prescriptive analytics.

Sophisticated technologies—like the emerging cognitive analytics for instance— are enabling banks to make better decisions and achieve profitable growth quarter-on-quarter. At the same time, with enhanced visibility into intricate information, such as individual financial health and behavioral patterns, banks now have the upper hand in risk mitigation and fraud prevention that help them comply with mandatory regulations.

With the Blockchain gaining mainstream attraction, digital currencies such as Bitcoin and Ethereum are doing their rounds among consumers for payments and other transactions. To that end, banks are leveraging analytics to prevent theft and fraudulent use of these digital currencies, by verifying and tracking the transactions with an unprecedented level of speed and transparency.

Identifying the numerous benefits of analytics, CIOs are on a constant quest to find solutions that deliver insightful information in a timely and accurate manner and also elevate productivity to a whole new level.

To help CIOs and CFOs find the right banking analytics solution provider, a distinguished panel comprising of CEOs, CFOs, VCs, analysts, and the Banking CIO Outlook editorial board has selected top players from the sector. The companies listed here demonstrate an ability to develop innovative technologies and methodologies along the banking value chain, while providing outstanding customer service.

We present to you Banking CIO Outlook’s Top 10 Banking Analytics Solution Providers 2017.

    Top Banking Analytics Solution Companies

  • Provides comprehensive banking data models that enable banks to rapidly transition to an integrated, modern analytic architecture, while reducing risk and benefiting from best practices

  • CFM


    CFM enables the future of banking through a flexible branch transformation ecosystem of integrated software solutions

  • DMS helps its clients identify and prepare their data for access and analysis by integrating data sources

  • A single-integration central hub for banks and lenders to work together to provide loans for their customers

  • A data science company, helping banks make better decisions that drive higher levels of profitability, mitigate risk, and enhance customer experience

  • ROKITT has developed the ASTRA data discovery tool, enabling banks to discover information about data and data relationships

  • Enabling financial organizations to make data-driven decisions through unique banking analytics

  • Focused on Python and Open Source Technologies for Financial Data Science, Algorithmic Trading and Computational Finance

  • Jack Henry & Associates [NASDAQ:JKHY]

    Jack Henry & Associates [NASDAQ:JKHY]

    Sophisticated and automated analytics that delivers accurate customer insights on transaction behavior and payment patterns

  • Q2ebanking [NYSE:QTWO]

    Q2ebanking [NYSE:QTWO]

    A behavioral analytics approach to help financial institutions increase Products Per Relationship (PPR) while providing proactive security to prevent cybercrime before it happens