Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions. It is also used scientists and researchers to verify or disprove scientific models, theories and hypotheses. Visit: https://datamites.com/data-science-course-training-hyderabad/

1. Part 11

2. Business
Technology
Analytics
Busines
s
Leaders
Deliver
y
Manag
ers
Visual
Analyst
s
Process
Consulta
nts
Data
Engine
ers
Data
Archite
cts
Data
Analyst
s
Data
Scientis
ts
Lead analytics
transformation
across organization
Deliver data- and analytics-
driven insights and interface with
end users
Lead analytics
transformation
across organization
Build interactive decision-
support tools and implement
solutions
Visualize data and build
reports and dashboards
Ensure quality and
consistency of present
and future data flows
Collect, structure, and
analyse data
Develop statistical models and
algorithms

3.  How big is that challenge? In terms of
magnitude, it’s akin to coping with the large-
scale shift from agricultural work to
manufacturing that occurred in the early 20th
century in North America and Europe, and
more recently in China.

4.  the speed of change today is potentially faster.
The task confronting every economy,
particularly advanced economies, will likely be
to retrain and redeploy tens of millions of
midcareer, middle-age workers. As the MGI
report notes, “there are few precedents in
which societies have successfully retrained
such large numbers of people.”

5. Adopt a sophisticated data
strategy as data is the key for any
AI based solutions.
 AI algorithms need assistance to unlock the valuable
insights lurking in the data your systems generate. You can
help by developing a comprehensive data strategy that
focuses not only on the technology required to pool data
from disparate systems but also on data availability and
acquisition, data labeling, and data governance.

6. Adopt a sophisticated data
strategy as data is the key for any
AI based solutions.
 AI algorithms need assistance to unlock the valuable insights
lurking in the data your systems generate. You can help by
developing a comprehensive data strategy that focuses not
only on the technology required to pool data from disparate
systems but also on data availability and acquisition, data
labeling, and data governance.

7. Data in your organization
 Where does your data live?
 What are the systems governing your data?
 Who is the owner?
 Where are the gaps?

8. DataMites™
THANK YOU
If you are looking for data science courses in Hyderabad,
please visit:
https://datamites.com/data-science-course-training-
hyderabad/
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