Challenges to Agile Analytics

Posted November 17, 2016 in Business Agility & Software Engineering Excellence
Sebastian Hassinger

The most common pressures driving Agile data analytics investments are data stored in silos and poor data quality impacting decision making. Both complaints betray the burden of legacy business systems and analytics. Data in back-end IT systems is very often difficult to access, difficult to integrate, difficult to normalize, and therefore difficult to harness to answer the questions posed by the business. Mired in these inflexible and out-of-date sources of data, the efforts to create front-end tools and reports will have limited success.

About The Author
Sebastian Hassinger
Sebastian Hassinger is a Senior Consultant with Cutter Consortium’s Business Agility & Software Engineering Excellence practice. He has worked in the IT industry for over 25 years both in large corporations and as an entrepreneur and has provided strategic consulting for large and small firms on projects as broad as corporate direction and as focused as product development strategy. Mr. Hassinger founded two ISPs; helped launch several… Read More
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