1) While companies invest heavily in big data tools, some find that small amounts of data analyzed regularly can significantly improve performance if used to inform business rules and provide performance feedback to employees. 2) Case studies show that companies like 7-Eleven, Aetna, and PepsiAmericas saw benefits from establishing single data sources, sharing daily performance reports, and coaching employees to make decisions based on data rather than instinct. 3) Regularly analyzing limited transaction data and updating business rules in response allows companies to set uniform standards that improve efficiency without extensive modeling or processing.

1. You May Not Need
Big Data After All

2. Hello!
I am Anirud

3. Data Analytics:
⊸ Present day digital economy is all about
capturing, analysing, and using information to
serve customers.
⊸ Companies are investing a huge amount in big
data tools and technologies.

4. ⊸ Some companies are reluctant to implement
the insights they have gained through analysis
as it requires a change in organizational
structure.
⊸ Many investments are failing due to ineffective
way of utilizing it.

5. Evidence Based Decision Making
⊸ Evidence Based Decision-Making is a process
for making decisions about a program,
practice, or policy that is grounded in the best
available research evidence and informed by
experiential evidence from the field and
relevant contextual evidence.

6. ⊸ Analyzing day to day transactions of a
company can improve the performance.
⊸ But the hindrance might be due to:
1.Organizational Structure.
2.Technology Implementation.

7. ⊸ Companies who follow Evidence based
decisions make ensure all decision makers have
performance data at their finger tips.

8. Companies with a culture of evidence based decision
making follow four steps:
1. They establish one undisputed source of
performance data.
2. They give decision makers at all levels
near real time feedback.

9. 3. Consciously articulate their business rules
and update them in response to facts.
4. Provide high-quality coaching to employs
who make decisions on a regular basis.

10. Seven-Eleven:
⊸ Study on 7-Eleven clearly shows the
effect of empowering employees to
make good decisions.
⊸ Daily and yearly reports were shared
across stores.
⊸ Clerks can analyze it and inform the
suppliers.

11. Seven-Eleven:
⊸ It shows how little data, without any big data
tools, was effectively used to make better
decisions and improve the business.

12. Aetna, Foxtel:
⊸ Study on Aetna shows, though individual
divisions showed profit, the company had a
loss.
⊸ It was decided to mandate a single
information system that defined the data
everyone would use to measure
performance.

13. Aetna, Foxtel:
⊸ The change in the system took time but
Agreeing on single source of data have given
profits to company.

14. PepsiAmericas:
⊸ Study on PepsiAmericas shows, informing
employees day to day performance has
improved the efficiency of the employees.
⊸ The best way to teach people how to use
data to create business benefits is to
provide them with data about their own
performance.

15. Citrix:
⊸ Study on Citrix shows how the difference in
understanding on the business rules among
employs had negative impacts on revenue.
⊸ They have established and instructed new
set of rules and analyzed the performance.

16. Citrix:
⊸ Analysing the impact of business rules
doesn’t involve the massive processing or
the statistical modelling associated with big
data.
⊸ Embedding business rules in software will
set uniform rules throughout the company.

17. Coaching to Improve Performance
⊸ Training employees on new business rules
of company, technology used in the
company will improve efficiency.
⊸ Training people from taking data based
decisions rather than instinct based
decisions.

18. Insights:
⊸ Little data can have a big effect on
performance when managers use the data to
assess and improve business.
⊸ Informing new business rules, giving
performance reports and training employs
are the keys for company success.

19. Thanks!
Any questions?