1. Analytics Wednesday Evening – Team 7
Michelle Hansberry, Katie Heineman, John Wright, Lisa Wright

2. Agenda Explanation of Analytics How Analytics are used
Current Case Studies
Watson
Future Implications

3. What are Analytics? AKA business analytics and data analysis
The software and methods that organizations use to understand data

4. Why do we need Analytics?
Big Data
Create Value
Competitive Advantage
Productivity Growth
Multiple Data Sources

5. Forms of Analytics? Analytic Decision Making Business Intelligence
Performance Management
Predictive Analysis
Risk Analysis

6. Which Industries can use Analytics?
Marketing
Insurance
Finance
Health Care
Diagnose & Decide Treatment
Investment Decisions
Consumer Needs
Pricing & Program Design

7. BASP

8. Pillars 1 & 2
Business Challenges
Data Foundation

9. Analytics Implementation
Pillars 3&4
Analytics Implementation
Insight

10. Execution and Measurement Distributed Knowledge
Pillars 5 & 6
Execution and Measurement Distributed Knowledge

11. Pillar 7
Innovation

12. Example 1:
MNOs in Africa
Anticipate
Combine and analyze
Savings

13. Example 2:
Macys.com
Unsubscribe rates
Marketing use
Scores

14. What is the Watson? Watson Cognitive Computer
Natural Language Processing
Hypothesis Generation
Evidence-based Learning
Analysis Capability

15. Watson YouTube Watch for 2 minutes
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Watch for 2 minutes

16. What sets Watson apart? Ability to learn & understand
Recognizes irony & sarcasm
Operates in real time
Makes decisions

17. Watson in Business? Feeds big data
Creates sales databases, web pages, social networks
Analyzes and makes predictions
Provides evidence based recommendations

18. Discussion
Have you made an important business decision based off of analytics? If so, what?

19. Future Implications of Analytics
Predictive Analytics
Smart Planet
The need for strategy

20. Predictive Analytics Predictive Analytics:
Software + Model + Strategy
Knowing what’s already happened is useful; predicting what WILL happen gives competitive edge.  
Evolving beyond knowing past performance: Knowing real- time performance

21. Predictive Analytics
1. Video: Predictive analytics in public safety (~30 sec) 
2. Video: Predictive analytics in everyday businesses (~30 sec)
Predictive Analytics jobs & roles are becoming higher priorities for companies
These very short videos give a visual depiction of how predictive analytics are becoming part of our everyday.

22. Smart Planet Using analytics can improve many areas of society.
By using analytics to increase efficiencies, society can put resources where they are needed most & will make the most effective impact.
Smart Planet is an initiative coined by IBM to describe what can happen if cities use overlapping information systems to obtain useful analytics, especially in a predictive sense.

23. Smart Planet Video “IBM: Smarter Cities Using Analytics”
(~2 min)
Using analytics from information systems to build what IBM calls a ‘smart planet’. I think this really is the future of analytics.

24. Analytics Still Require Strategy
Analytics still need to be backed by strategic business strategy
Video - SAS: Myths of Predictive Analytics (watch until 1:45 min)

25. Analytics Still Require Strategy
Predictive Analytics:
Software + Model + Strategy
The predictive model must be carefully thought out.  Great software/ tools still need the dots connected correctly.  
Must strategize to move model into business decisions
#1: Great analytical tools can still fall victim to “garbage in = garbage out”
#2: ie human eye for bringing all of the analysis and what ‘makes sense’ together as a single impact on the company

26. References
IBM. Business Analytics from IBM:
Mckinsey. Big data: The next frontier for innovation, competition, and productivity:
Earnix. Insurance Companies are Increasingly Using Advanced Analytics to Better Understand Customers – New Earnix Survey Shows: understand-customers-new-earnix-survey-shows/3432/
Forbes. Big Data, Analytics And The Future Of Marketing And Sales:
Biztech Africa. Mobile operators to gain almost $4bn from applying analytics to reduce churn: analytic/7043/?section=computing#.UlrlV1CsiM5
Apparel. Top Apparel Companies Transform Their Processes with Business Intelligence: studies/Top-Apparel-Companies-Transform-Their-Processes-with-Business-Intelligence88796
American Marketing Association.  Pillars for Successful Analytics Implementation:
IBM. The Science Behind Watson.
Forbes. IBM's Watson Set To Revolutionize Marketing. watson-set-to-revolutionize-marketing/
Information Management. How Will Business Analytics Change in the Near Future? : management.com/resource-center/?id=
Cite World. Predictive analytics shine a light on the future:
Forbes. Wearable Technology, Spatial Analytics: Future Of Sport Is Now: