2. 1st INSIGHTS:
•Big data and analytics have
rocketed to the top of the corporate
agenda.
•Executive look with admiration at
how Google,Amazon etc. have
eclipsed competitors with powerful
business models.
3. •Big data could transform the way
companies do business.
• The important feature underpin a
clear srtrategy for how to use data
& analytics to deployment of right
technology.
4. •According to the research by
Andrew McAfee and Eric
Brynjolffson of MIT, companies that
inject big data & analytics into their
operation show productivity rates
increase by 5%-6%.
5. 2nd INSIGHTS:
•The two features that needs to be
specified is
# Choose the right data
-Data sources from social platforms
has increased rapidly.
6. -An opportunity to expand insights
by combining data.
-Bigger and better data give
companies more granular views of
their business environment.
7. -To able to see what was invisible
before improves operations,
customer experiences & strategy.
- More often having the data,
managers could not use data fully for
key decisions.
8. -There are plenty of dat available
online.
-Get the necessary IT support.
9. # Build Models that predict and
optimize Business outcomes :
-Data are essential but performance
improvements and competetive
advantage comes from analytic
models.
10. -A pure data-mining approach often
leads to an endless search for what
the data really say.
11. MANAGERIAL RELEVANCE:
•The leaders should invest sufficient
time and energy in aligning managers
across the organisation.
•More importantly managers should
focus on “What's the least complex
model that would improve our
performance.