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The latest from FIMA in partnership with Informatica, this report outlines the keys to drawing a blueprint for an effective enterprise data governance practice.  Download your copy by clicking the image to the left! 

Want a preview of who you'll meet onsite at FIMA West 2016?Download the preliminary attendee list now by clicking the picture to the left or the link above. Updated Oct. 19

Good data quality is absolutely essential to help financial services companies minimize risk while better informing business decisions. Unfortunately for many of these organizations, data quality tools that were purchased for IT to fix data issues have not keep pace with the ascendance of data governance programs that require business and IT to co-manage the quality of data as a business asset. FIMA's latest whitepaper evaluates how financial services companies are managing the challenges posed by data quality management. By analyzing which data types and data characteristics businesses are struggling with, it uncovers the true business costs associated with data quality. It will also gauge how data governance programs are maturing and how they are being measured. Finally, it assesses how data is being managed within financial institutions. Click the banner to the left to download the full whitepaper!

With the pressures of regulations as well as the desire to create actionable insights using standard definitions, financial management is seeking to employ the strongest possible approach to their standardization efforts. In this 2015 survey of financial management executives, FIMA has uncovered: How aligned data management strategies are with business goals The levels of outsourcing around reference data management How managers are breaking down data siloes Click the image to the left to download your copy of the report!

Consolidating the responses of multiple data management leaders featured in ASG's webinar on data lineage solutions, this report contains best practices and information from the session to help you employ some of these solutions for yourself. Key questions addressed include: What does the current data and regulatory environment look like? What are some differences in a manual versus an automated approach to data lineage? Why should we automate lineage analysis?Click the image to the left to view now!

Financial services institutions are facing a myriad of evolving challenges as the industry continues its tentative recovery. For reference data executives, this means new demands on data management with an ever-increasing emphasis on quality and governance. Download this whitepaper to find out about the challenges and opportunities facing reference data professionals.

Condensing insights from the data management leaders featured in Fenergo's webinar on meeting the demands of the current regulatory environment, this report packs the best practices and information from the session into a concise and scannable format. Learn more about: - Instilling a culture of compliance across your organization - Surmounting key regulatory challenges in the long and short term - Managing and reconciling the proliferation of data providers Click the image to the left to download your copy!

As costs of data storage decrease and applications that would have been impossible become feasible, there is a growing imperative on financial institutions to take control of their siloed data and bring it into a new "smart data" paradigm. Produced in conjunction with FactSet, this report covers: - The challenges of creating data insights - Nuances present in tagging data for integration and compliance - How regulations like BCBS 239 are guiding firms towards better big data analytics

Although data management practices have been around almost since the inception of the computer, data governance has only become a central strategic priority for financial institutions over the past few years. The catalysts for this relatively novel emphasis on data governance are rooted in two of the financial industry’s most fundamental values: minimizing risk and enhancing value from business intelligence. First-rate data governance serves both of these interests, mitigating the regulatory and financial risks associated with data mismanagement while also opening up new opportunities for organizations to leverage data to make more informed business decisions. Put simply, effectively managed data can be an organization’s greatest asset; this is the importance of good data governance. Click on the image to the left to download.

Want to see who attended the East Coast installment of FIMA this past March? Download the attendee list here!