The document discusses making advanced analytics work for companies. It provides guidance on choosing the right data, building models that predict and optimize business outcomes, and transforming a company's capabilities. It emphasizes starting with identifying a business opportunity and determining how analytics can improve performance. While big data can solve companies' problems, organizational change is needed to fully exploit analytics capabilities. Research shows companies using big data and analytics have 5-6% higher productivity and profitability than their peers.

1. Making Advanced Analytics Work
for You.
by Dominic Barton
and David Court
Underguidance of prof:Sameer
Mathur.

2. Vast increase in performance.
Bigdata solving many company’s data problems
And they are trying to invest more and to make a
right decisions.
They also see that big data is attracting serious
investment from technology leaders such as
IBM and Hewlett-Packard.

3. OVERVIEW.
Choosing the right Data.
Built models that predict and
optimize Business outcomes.
Transforming the company’s
capabilities.

4. Choosing the right data.
>We should think in a way that how would you react
if you present at that situation directly.
>“What decisions could we make if we had all the
information we need?”
>New cloud-based technologies may also offer ways
to scale computing power up or down to meet big
data demands cost-effectively.

5. Build Models That Predict and
Optimize Business Outcomes.
>It helps us to start in a effective way.
>Another beauty of this model building is we
can conduct many statistical tests.
>instead of it originates with identifying the
business opportunity and determining how the
model can improve performance.

6. Transform Your Company’s Capabilities
Many companies grapple with such problems, often
because of a mismatch between the organization’s
existing culture and capabilities and the emerging
tactics to exploit analytics successfully
“Using big data requires thoughtful organizational
change, and three areas of action can get you
there.”

7. INSIGHT
A data analytics would be more complicated
without knowing the meaning of comparision on
which we are doing.
Even so, our experience reveals that most
companies are unsure how to proceed.

8. INSIGHT 2:
According to research by Andrew McAfee and
Erik Brynjolfsson, of MIT, companies that inject
big data and analytics into their operations
show productivity rates and profitability that
are 5% to 6% higher than those of their peers
“Big Data:The Management Revolution” in this
issue.

9. MANAGERIAL RELEVANCE.
One has to hire plenty of data scientists,should know
the latest trends and submission status.
Managers are lead to responses, where every decision
Has to be choosen perfectly.on the basis of this we can
analysie easily.
Powers of promotion.
Should Know the risk management and should be able
to response according to that.
As more companies learn the core skills of using big
data, building superior capabilities may soon
become a decisive competitive asset.

10. • The launch included training—led by company management—
and a new promotions-analysis tool for sales representatives.
However, after an initial whirlwind of activity, the program and
use of the tool fizzled.
• Those program leads to develop skills and able to optimize the
data in effectively.

12. Kathala Krishna Chaitanya rao