This trend toward ‘business-driven,’ rather than IT-driven, BI and analytics is riding the momentum created by technology change and strong interest, if not CEO-driven mandates, to infuse data into all decisions and actions.
Seattle, WA (PRWEB) July 03, 2014
TDWI Research announced the release of its newest Best Practices Report, Business-Driven Business Intelligence and Analytics: Achieving Value through Collaborative Business/IT Leadership. This original, survey-based research focuses on how organizations can best work to make data-driven decisions and deliver the right data for the right user at the right time.
“[Enterprises] want to enable users to push beyond canned reports and limited spreadsheet views to take advantage of more advanced data visualization and analytics; then, users can accelerate exploration and discovery,” writes David Stodder, author of the report. “This trend toward ‘business-driven,’ rather than IT-driven, BI and analytics is riding the momentum created by technology change and strong interest, if not CEO-driven mandates, to infuse data into all decisions and actions.”
IT’s role in business intelligence and analytics is changing. Although IT develops and managing BI, data infrastructure, and data governance, business-driven BI is forcing data to take center stage in business decision making as business users expect and demand access to more data and want greater control over how that data is analyzed, presented, and shared.
The report looks at:
- How modern organizations view data science and analytics as core to their business models and pursuit of market success
- Business users’ demand for data continuously, flexibly, and rapidly, without reliance on IT
- The use of centers of excellence and competency help IT and business users improve communication, collaboration, and efficiency
- The continuing importance of spreadsheets for data analytics
- The importance of reducing dependence on IT and increasing users’ self-reliance with BI and analytics
- The rise of mobile BI and analytic appliances
- What technologies are most important to business-driven BI and analytics projects
- How budget responsibility for BI and analytics is divided between IT and business management
- The dynamics of project sponsorship and leadership for BI and analytics projects
- The changing roles IT and business users play in BI projects, including needs identification, technology selection, and project success
The report concludes with nine recommendations for rebalancing the business/IT relationship to meet strategic and operational objectives with BI and analytics.
This research was sponsored by Actian, Datawatch, Looker, SAS, Tableau Software, and Treasure Data.
About the Author
David Stodder is director of TDWI Research for business intelligence at The Data Warehousing Institute (TDWI). He focuses on providing research-based insight and best practices for organizations implementing BI, analytics, performance management, data discovery, data visualization, and related technologies and methods. He is the author of TDWI Best Practices Reports and Checklist Reports on data discovery, data visualization, customer analytics in the age of social media, BI/DW agility, mobile BI, and information management. He has chaired TDWI conferences on BI agility and big data analytics. Stodder has provided thought leadership on BI, information management, and IT management for over two decades. He has served as vice president and research director with Ventana Research, and he was the founding chief editor of Intelligent Enterprise, where he served as editorial director for nine years. You can reach him at email@example.com.
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David Stodder, TDWI Research
dstodder(at)tdwi(dot)org | (415) 859-9933