Narendra Mulani emphasizes the importance of simplifying analytics strategies amidst the abundance of data that can overwhelm organizations. Key recommendations include recognizing important analytics objectives, accelerating data through a hybrid technology environment, and leveraging advanced technologies like machine learning for faster insights. By following these steps, organizations can improve their analytics execution and overall operations.

1. Simplify Your Analytics
Strategy
By Narendra Mulani

2. Basic Introduction…
•Analytics can challenge your organization.
Data is so abundant that the complexity and
confusion of it all can be overwhelming.But
the author Narendra Mulani has an advice
for us,

3. When you sit down and try to analyze
everything, you just don’t know where to
start, or where to go…
Recognize what is important & what your analytics
should be doing for every aspect of your organization.

4. If even that seems overwhelming, there’s one
more step simplify.
“Pursue a simpler path to uncovering insight”

5. Can real-time delivery of analytics could help a
company speed up the execution of analytics
projects and improve the overall service quality of
an organisation..???
•Yes…This can be done by accelerating and
liberating data through a data supply chain
that’s built on a hybrid technology
environment.

6. Accelerate the Data
• “Fast data = fast insight = fast outcomes.”
• When an environment is created that accelerates
your data, your organization can manage that data
much quicker. Getting the data you need in real-
time improves many aspects of your business.

7. Why Accelerate Data…???
• 1.Supports faster processing.
• 2.Reduces user wait time.
• 3.Supports faster interactivity.

8. Delegate the work to your analytics
technologies with..
• Next generation Business Intelligence & Data
Visualization
• Data discovery
• Analytics applications
• Machine learning and cognitive computing

10. Recognize that each path to data insight is
unique for you.
• “No matter what combination of culture and
technology exists for a business, each path to
analytics insight should be individually paved
with an outcome-driven mindset.”

11. What next…???
• By taking these three steps, your analytics strategy
will be simplified and so will the way your
organization is run. It’s rare that simplicity can
seem like it is enough, but with your big data and
analytics processes, simple is beneficial.

12. Conclusion…
• With data, elements are always changing and new
obstacles come into play that challenge your data.
There will always be new questions, and different
answers that solve the dilemma of each question

13. By T.Prudhvith,
NIIT University,
Under Prof.SameerMathur,
IIM Lucknow.