Why do data warehouses fail? ask Synergy Software Systems for the latest research report

August 6th, 2020 by Stephen Jones Leave a reply »

Organizations are increasing their data warehouse investments, however, the process of identifying and moving data into a data warehouse is not always straightforward.

IT leaders report that organizational and technical challenges are hindering success, according to new research from SnapLogic and Vanson Bourne. This research firm surveyed hundreds of IT decision makers (ITDMs) and recently published their findings.

Key findings:

• Nearly nine in ten (88%) of ITDMs experience challenges trying to load data into data warehouses, major inhibitors are: legacy technology, complex data types and formats, data silos, and data access issues tied to regulatory requirements
• The average enterprise has 115 distinct applications and data sources, with almost half of those (49%) siloed and disconnected from one another
• 89% of ITDMs are worried about those data silos.
• ITDMs report that, on average, 42% of data management processes that could be automated are currently being done manually, taking up valuable time and resources
• As a result, almost all respondents (93%) believe improvements are needed in how they collect, manage, store, and analyze data

Building a data warehouse is one thing. continuously updating it with high data volumes, and rapidly and easily maintaining and updating multiple interfaces with low risk as software updates and business and regulatory requirements change is an ongoing challenge.

Find out how prebuilt snaps, data management tools, data streaming, and low code rapid integration development are supported with an integration platform as a service iPaaS.

Contact us today for a copy of the report and to see demo of Snap logic. 0097143365589

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