This document discusses business analytics. It defines business analytics as using data, statistical and quantitative analysis, explanatory and predictive models to gain insights and support decision-making. The document outlines the typical business analytics process, including understanding the business objectives, assessing the situation, collecting and preparing data, developing analytic models, evaluating and reporting results, and deploying the outcomes. It provides examples of how analytics can be used to drive personalized customer services, optimize people management decisions, and conduct real-time sentiment analysis of social media data for an FMCG company. The document concludes with lessons learned, emphasizing the importance of continuous learning, gaining experience through projects and mentoring, and having confidence in one's abilities.

1. What is Business
Analytics ?
Dr Susan Entwisle, HPE Distinguished Technologist
Eric Wei, Lead Data Scientist, APJ Region
July 2016

2. Contents
1. What is it ?
2. What does it look like ?
3. How to get there ?
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3. 1. What Is Business Analytics ?
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4. 4
Business
Understanding
• Determine
business
objectives
• Assess situation
• Determine
Analytics goals
• Produce project
plan
• Collect initial
data
• Describe data
• Explore data
• Verify data
quality
• Select data
• Clean data
• Construct data
• Integrate data
• Format data
• Select modeling
technique
• Generate test
design
• Build models
• Assess models
• Evaluate results
• Review process
• Develop reports
• Develop Alerts
• Plan deployment
• Plan monitoring
& maintenance
• Produce final
report
• Review project
Data
Understanding
Data
Preparation
Analytics
Modeling
Evaluation &
Reporting
Deployment
Business Analytics Illustrated
Analytics Delivery Services
Structured and UnstructuredAssessment & Strategy Integrated Data Advanced Analytics Insights & Validation

5. 2. What Does It Look Like ?
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6. 6
Analytics driving smart personalised services and product

7. 7
Analytics driving smart personalised services and product

8. Analytics driving smart people management decisions
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9. 9
Analytics driving smart people management decisions
Moneyball for People Management
40-70% of companies revenue spent on payroll
Right people into the right jobs, make them
productive and happy, and get them to help us
attract more customers and drive more revenue
Nirvana might be perfect blend of domain experts,
analytics and psychometrics

10. Demo: Social intelligence analytics
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Business Requirement:
An international FMCG company requires
assessment of social intelligence around
their different products.
Solution:
HPE delivered an end-to-end solution by
ingesting social media data, conducting
text mining and sentiment analysis.
Outcome:
Real-time decision making is made
possible.
Demo Link

11. 3. How To Get There ?
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12. Lessons I have learnt…
Keep Learning
- Do well in your exams!
- Learn stuff outside of your
domain
- Be a lifelong learner
Build Experience
- Kaggle
- Internship / Volunteering
- Networking (Meet-up,
IAPA...)
Mentoring
- Find a mentor
- Be clear about your
objectives
- Give back as well
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13. Lessons I have learnt…
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Be confident. Back yourself.
Really actively listen to people – understand motivations and needs. What value can you provide?
Be curious – always understand why?
Do not be too ridged. If a great opportunity comes along take it.
Be generous and open to learn and share knowledge. Groups, informal learning networks, and mentors.
There will be very special people in your career who champion you. Be very grateful for these people in your life and commit to pay it
forward.
If you let it work can feel like drinking from a fire hose. Stay calm, prioritise, focus, leverage the power of teams, communicate in clear,
direct and simple terms, have fun, do your most important decision making / work in the morning, work hard, recharge and repeat.

14. Question Time
susan.entwisle@hpe.com
eric.wei@hpe.com
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