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Big Data is
the 21st
century OIL
is meaningless
without context
We are the one
who creates
meaning from
structured/
unstructured data.
Our decision can be
precisely WRONG even
after efficient
calculations on this
huge amount of data.
Critical Thinking is an
essential skill for
handling this sea of
data.
Make sure that the
analyzed data is
relevant to the
solution of the
problem
When Analytics
overvalue one
metric, we get
the wrong insight
deviating from
the central idea.
Where and how can a
manager use all these
information?
• For maintaining a very good culture
at office a manager should focus on
the bigger picture during a conflict
• He has to consider the possibility
that facts can mislead most of the
time.
• Hire people who are graduates of
highly computational studies that
involve mathematics in it.
• Saving time using Data Science.
• He should interlink most of the
problems
• Interlinking problems would save a lot
of time
• Big data can be harnessed with the
help of some technology
For instance:
• Technologies such as IBM Watson
(Artificial Intelligence) would save a lot
of time.
• Be it a doctor, engineer, marketer,
lawyer. AI can predict the possible
outcomes giving us the Archimedes
lever for making a decision.
• Structured big data can be used for
analysis that would help us to predict
the future or to resolve the past
constraints.
• A good manager should ignore the
occurrence of an issue in the first place.
• Sales forecasting, Productivity Metrics
Reviewing, Effort estimation, financial
Cost models constitute huge amount of
data.
• A manager should utilize all the
technologies available till date for
ensuring the quality of the deliverable.
• Organization Culture is
extremely important for
making it to thrive for a long
time.
• Professionals achieve their
target easily with some
assistance from a leader.
People don’t actually quit
companies. People quit their
managers.
• Manager has to consider the possibility
of chaos.
• Only then it can be avoided or mitigated.
Big Data is not that
big after all

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Big data

  • 1. Big Data is the 21st century OIL
  • 3. We are the one who creates meaning from structured/ unstructured data.
  • 4. Our decision can be precisely WRONG even after efficient calculations on this huge amount of data.
  • 5.
  • 6. Critical Thinking is an essential skill for handling this sea of data.
  • 7. Make sure that the analyzed data is relevant to the solution of the problem
  • 8. When Analytics overvalue one metric, we get the wrong insight deviating from the central idea.
  • 9.
  • 10. Where and how can a manager use all these information? • For maintaining a very good culture at office a manager should focus on the bigger picture during a conflict • He has to consider the possibility that facts can mislead most of the time. • Hire people who are graduates of highly computational studies that involve mathematics in it. • Saving time using Data Science. • He should interlink most of the problems
  • 11. • Interlinking problems would save a lot of time • Big data can be harnessed with the help of some technology For instance: • Technologies such as IBM Watson (Artificial Intelligence) would save a lot of time. • Be it a doctor, engineer, marketer, lawyer. AI can predict the possible outcomes giving us the Archimedes lever for making a decision.
  • 12. • Structured big data can be used for analysis that would help us to predict the future or to resolve the past constraints. • A good manager should ignore the occurrence of an issue in the first place. • Sales forecasting, Productivity Metrics Reviewing, Effort estimation, financial Cost models constitute huge amount of data. • A manager should utilize all the technologies available till date for ensuring the quality of the deliverable.
  • 13. • Organization Culture is extremely important for making it to thrive for a long time. • Professionals achieve their target easily with some assistance from a leader. People don’t actually quit companies. People quit their managers.
  • 14. • Manager has to consider the possibility of chaos. • Only then it can be avoided or mitigated.
  • 15. Big Data is not that big after all