Smart companies know that business intelligence surfaces insights. With complex analytics, data mining and everything in between, it takes many moving parts to serve up the big picture. The key is to provide full-stack visibility into the entire BI environment, ensuring solid service and system performance.
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10. The Begetting of BI
u Desire for knowledge begets user
requests
u User requests beget analytics projects
u Analytics projects beget data lakes
u Data lakes + analytics beget insights
u Insights beget BI
13. BI Disruption
u Data volumes
u Data sources
u Streaming & speed of arrival
u Unstructured data
u Social (unclean) data
u IOT data
u Data provenance
u Compute power (parallelism)
u Machine learning
u New analytic workloads
Bi is not a static situation.
14. The Internet of Things
Event-driven
Architectures
Real-time Everything
The Future BI Landscape Includes…
15. BI: Of The User, By The User, For The User
u Data flow integration/automation
u Performance/timeliness (overall)
u Data coverage: data sources, also
structured/unstructured data
u Data cleansing
u Data access skills
u Visualizations
u Shareability
u Actionability
The issues in summary: