Enterprise Analytics 2.0 – Data Virtualization & Visualization
Enterprises are already adapting or going to adapt to 2nd generation tools & technologies of data virtualization and visualization primarily due to
- Turnaround time to complete an analytics or business intelligence project which in turn helps to reduce cost and accommodate ever changing scope in analytics projects
If we look at typical numbers, to complete an average analytics or BI project takes 3-4 months which will come down to weeks (if not days) if enterprises adapt to one or more Enterprise analytics 2.0 tools & technologies
Now comes more important question how?
Below is the legacy or Enterprise analytics 1.0 architecture
Now let’s look at typical Enterprise analytics 2.0 architecture
While I would try and explain my thoughts in my future articles
Please leave your comments, observations and thoughts
Director at Bodhtree Solutions Pte Ltd | Investor| Entrepreneur
9 年Great compilation PK!
CAIO & Board Member of Agentic & Ethical AI for HealthCare, IP Law {Doctorate in AI}
9 年great insight
CXO | AI Evangelist | Board Advisor | Leadership Coach
9 年Nicely captured thoughts! Rapid testing without actually replicating the Production instances will be also the key for next generatiion enterprise analytics 2.0