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  • Five Ways to be a Data-Driven CFO

    While many CFOs view data as a critical asset, they tend to underestimate the complexity of capturing and maintaining quality of their data. With a 360-degree of their finance data (chart of account, cost center, account code, business units, projects, legal entities, billing codes, taxonomies, geo codes, and product classifications), CFOs can build operational agility, reduce risk, and increase financial gains

  • A Road Map to Successful Customer Centricity in Financial Services

    This paper discusses three key areas of focus for delivering the right data to enable customer centricity in financial services: Master data management for authoritative customer information; data quality for trusted and accurate business information; and cross-channel data integration for service consistency.

  • Digital Transformation Drives Customer Engagement

    Enterprises must overcome data management issues to successfully execute digital business strategies that meet customer expectations. A joint whitepaper developed by CIO Magazine, Deloitte and Informatica.

  • BCBS 239: Strategies and Capabilities

    Banks are facing increasing pressure from regulators to improve their reporting capabilities, with the Basel Committee’s Principles for effective risk data aggregation and risk reporting (BCBS239), released in January 2013, as a particular point of focus at present. This report explores existing capabilities and strategies being taking to comply with the BCBS 239 principles, with particular focus on data aggregation, data quality, counterparty risk transparency, data transparency and business comprehension, risk data initiatives.

  • How to Overcome Data Obstacles to Grow the Business

    The need for better and more accurate data in financial services is more critical than ever to improve customer experience, grow wallet share, and retain high potential customers. Unfortunately, traditional business silos, lack of a single view of customer, fragmented data management processes, and lack of capable technology are just some of the issues financial institutions face that prevents them from receiving the data they need to succeed.

  • Banking POV: Framework for Building a Modern Data Foundation

    Leading financial services companies are embracing sweeping digital transformation strategies, including next best experience, personalization, omni-channel consistency, and compliance with customer-centric regulations such as FACTA, KYC, GDPR and CCPA. The common denominator underpinning all of those initiatives is a solid data foundation and a Customer 360. Most financial institutions have tons of client information residing across many systems and silos, but customer profiles tend to be less than 20% complete and lack insights from unstructured data, such as web chats, phone notes, and emails. Getting to 100% doesn’t happen with conventional matching capabilities or from raw data in a data lake. To take full advantage of all data, it requires modern capabilities including Machine Learning, Natural Language Processing, graph visualization and more.

  • Informatica helps Fannie Mae manage risk and compliance

    Fannie Mae, the leading source of liquidity for housing in America, leverages Informatica PowerCenter, Data Quality plus Meta Data Manager for business glossaries and data lineage to help meet Dodd-Frank compliance and manage risk in the mortgage market.

  • Informatica Ultra Messaging is platform for Trading Technologies SaaS

    Trading Technologies (TT), a global provider of high-performance trading software, uses Informatica Ultra Messaging in the new Software-as-a-Service (SaaS) platform for professional traders. TT’s time to deliver innovation to its users has been reduced from months to days to deliver extremely fast execution

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