Published By: MuleSoft
Published Date: Oct 13, 2015
Improving data management is critical for streamlining regulatory reporting, monetizing customer analytics, and democratizing data-driven decision-making. Financial firms must transform their data management approach to unlock data from its silos, incorporate unstructured information from non-traditional sources, and integrate information whether on-premises, in the cloud, batch-based, or real-time. As this evolution continues, technology leaders must consider integration holistically across the enterprise and create an agility layer that is key to future-proofing their data management architecture.
Read this whitepaper to learn:
-Data management challenges in financial services
-Best practices to manage data in financial institutions
-Integration strategies for optimal data management
Published By: ZSL Inc.
Published Date: Nov 18, 2008
This paper explains the constraints in using the legacy systems and the essential of modernizing the legacy systems and strategic alignment of IT with business. We have discussed different approaches towards modernizing the legacy systems and the ways to make your legacy modernization a success.
Published By: ZSL Inc.
Published Date: Dec 16, 2008
This paper explains the constraints in using the legacy systems and the essential of modernizing the legacy systems and strategic alignment of IT with business. We have discussed different approaches towards modernizing the legacy systems and the ways to make your legacy modernization a success. Along the way, we have explained the benefits and possibilities of maximizing ROI and lowering TCOs by effectively modernizing your legacy applications and aligning IT and business practices.
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