How to Be Agile with Business Analytics
January 1, 2016
While disruption within the business intelligence (BI) and analytics market makes this area ideal for early adoption of bimodal IT practices, businesses are struggling to achieve the desired levels of responsiveness and flexibility. Analytics agility has three complementary facets, with each needing to be considered differently; and to achieve true agility within business analytics, all facets need to be addressed.
The term agile is used within the IT domain to describe a specific category of software development methodologies, whereas agility within analytics practice refers to a general capability to be responsive, flexible, and deliver fast time to insight. This leads to confusion.
This white paper describes how analytics and BI leaders should:
- Take steps to increase the agility of BI and analytics processes
- Build BI and analytics teams with the process, cultural, and architectural capabilities for agility, and embrace business participation in analytics processes
- Invest in BI and analytic environments for experimentation and evidence-based data discovery, and then follow up with resilient operationalized analytics solutions where repeatable value is identified