3. Some businesses are challenged by the complexity
and confusion that analytics can generate. Companies
can get stuck trying to analyze all that’s possible and all
that they could do through analytics,.
6. Following are steps that we have seen work in a
number of companies to simplify their analytics
strategy and generate insight that leads to real
outcomes:
11. a) Next-Gen Business Intelligence (BI) and data
visualization.
Next-gen business intelligence is bringing data and
analytics to life to help companies improve and optimize
their decision-making and organizational performance.
12.
13. b) Data discovery.
Through the use of data discovery techniques, companies
can test and play with their data to uncover data patterns
that aren’t clearly evident.When more insights and
patterns are discovered, more opportunities to drive value
for the business can be found.
14.
15. c) Analytics applications.
Applications can simplify advanced analytics as they put
the power of analytics easily and elegantly into the hands
of the business user to make data-driven business decisions.
16. d) Machine learning and cognitive computing.
Machine learning is an evolution of analytics that removes
much of the human element from the data modeling
process to produce predictions of customer behavior and
enterprise performance
18. A manger applying all these techniques , can surely receive
best of results because data needs to be rightly exploited.
By delegating work to the data analytics , one can correctly
asses the faults in the analysis and correct them
accordingly.This leads to a progressive growth of the
organization without much losses.
