A Comprehensive Guide to Agile Data Management

For most business managers, agility is at or near the top of every wish list.  No executive wants to be left behind in the wave of dramatic, often unforeseen changes that are part of a typical business day.   As one wise industry analyst said, “You can’t catch a wave from behind.”  In a sea of business uncertainty, those waves come from all directions and staying in front of them is critical to success.   In particular, IT leaders are pushing themselves and their teams to develop new approaches to agile data management, in hopes of making business intelligence a true competitive advantage.   The organizations that most successfully embrace and benefit from agile data management also identify, adopt and fully leverage new technologies and tools that fulfill the methodology’s potential.   Those toolsets leverage automation to ensure implementation in weeks and model-driven flexibility for responsiveness to changing requirements in hours or days.   This outcome is an agile data foundation that is built right, built fast and built to last at a fraction of the costs of traditional data warehouses.  However, while the benefits of incorporating agile methods and data management are very clear, the ways to execute are not.

To help, we’ve developed a comprehensive guide to agile data management to provide more insight into the key factors driving organizations towards agile data management and the specific steps needed to help your team make smarter and faster decisions that support key business goals.   As reference, we’ve included industry news from leading publications, compelling research studies, expert perspective from industry analysts, authors and top executives, customer case studies, whitepapers and video interviews to address all aspects of agile data management, across industries, and arm you with the tools needed to achieve the goal of agility.   Take a look and let us know what you think.

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