January 4, 2013
Agility—the ability to sense change, adjust behavior, and take advantage of unexpected opportunities—is a highly desirable quality. Faster decision cycles, competitive pressures to seize fleeting opportunities, and the continuing need to adjust to upheavals in an interconnected global economy are driving demand for business intelligence and analytics that better support business agility.
The information that flows from BI, analytics, and data warehousing (DW) systems can help organizations find the right decision-making balance that avoids the extremes of snap decisions and rigid processes. To improve their agility, organizations need to uncover where they have blind spots or are missing signals amid the noise; where choke points restrict the flow of integrated information to decision makers; and where current processes, rules, and practices need to be optimized to fit new circumstances.
It is an exciting time for organizations that have been frustrated with the slow pace of BI and DW development and concerned that the results are not delivering enough value and flexibility. From development methods to technology solutions, agile best practices are being adopted by organizations that are seeking to respond to business requirements while improving collaboration among users and IT.
This new survey-based research report examines benefits, barriers, technology solutions, and recommendations for achieving greater agility with business intelligence.