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ANALYSIS OF
Simplify Your Analytics
Strategy
by Narendra Mulani
I INSIGHT
 While the interests in
analytics and resulting
benefits are increasing by
the day, some businesses
are challenged by the
complexity and confusion
that analytics can
generate.
 To overcome this,
companies
should pursue a
simpler path to
uncovering the
insight in their
data and making
insight-driven
decisions that
II INSIGHT
 Accelerate the data:
Fast data = fast insight = fast outcomes
 Delegate the work to your analytics
technologies:
Ways to delegate:
 Next-Gen Business Intelligence (BI) and data
visualization.
 Data discovery.
 Analytics applications.
 Machine learning and cognitive computing.
 Recognize that each path to data insight is
unique:
2 approaches:
 for a known problem with a known solution:
hypothesis-based approach
 for a known problem area, but with an
unknown solution: discovery-based
approach
 Once insights are uncovered, the next step is
to make the data-driven decisions that place
action behind the data.
MANAGERIAL
RELEVANCE
RELEVANCE OF I INSIGHT:
Company’s making data
driven decisions are at an
advantage.
Some businesses are
challenged by the
complexity and confusion
that analytics can
generate.
Hence a manager
should adopt simpler
techniques of data
RELEVANCE OF II
INSIGHT:
A Manager should
employ steps
discussed in ii insight
in his/ her organisation
to make the analysis
simpler:
A proper supply
chain should be built
to accelerate the data.
Also a manager should try
to have advanced
technology for the
organization because n
organization equipped with
advanced technology have
an ease with analytics.
RECAP:
Confusion generated by analytics.
Steps to simplify the analysis.
Analysis of Simplify Your Analytics Strategy

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Analysis of Simplify Your Analytics Strategy

  • 1. ANALYSIS OF Simplify Your Analytics Strategy by Narendra Mulani
  • 2.
  • 3. I INSIGHT  While the interests in analytics and resulting benefits are increasing by the day, some businesses are challenged by the complexity and confusion that analytics can generate.
  • 4.  To overcome this, companies should pursue a simpler path to uncovering the insight in their data and making insight-driven decisions that
  • 6.  Accelerate the data: Fast data = fast insight = fast outcomes
  • 7.  Delegate the work to your analytics technologies: Ways to delegate:  Next-Gen Business Intelligence (BI) and data visualization.  Data discovery.  Analytics applications.  Machine learning and cognitive computing.
  • 8.  Recognize that each path to data insight is unique: 2 approaches:  for a known problem with a known solution: hypothesis-based approach  for a known problem area, but with an unknown solution: discovery-based approach
  • 9.  Once insights are uncovered, the next step is to make the data-driven decisions that place action behind the data.
  • 11. RELEVANCE OF I INSIGHT: Company’s making data driven decisions are at an advantage. Some businesses are challenged by the complexity and confusion that analytics can generate. Hence a manager should adopt simpler techniques of data
  • 12. RELEVANCE OF II INSIGHT: A Manager should employ steps discussed in ii insight in his/ her organisation to make the analysis simpler: A proper supply chain should be built to accelerate the data.
  • 13. Also a manager should try to have advanced technology for the organization because n organization equipped with advanced technology have an ease with analytics.
  • 14. RECAP: Confusion generated by analytics. Steps to simplify the analysis.