Statistics In Practice “Statistician Role in Massive Growth of Technology Era”

By: Febriandi Rahmatulloh Studium General Sharing Sessions Material

FRA

• Name: Febriandi Rahmatulloh

• Occupation: Customer Experience Analytic Expert

Etisalat Mobily –Riyadh - Saudi Arabia

• Education : 2002 - 2005 Bachelor Statistics Gadjah Mada State Univ

2008 - 2010 Magister Statistics Bogor Agri State Institute

• Working Experience :

– 2010-2012 (Manager CRM Insight AXIS Telekom Indonesia)

– 2009-2010 (Sr Analyst XL Axiata)

– 2007-2009 ( Analyst Indonesia Stock Exchange)

– 2006 ( Support Staff OPEC-Vienna Austria)

• Subject Interest, Applied statistics for :

– Data Mining

– Applied Stats Computing

– Applied Analytic for CRM, CEX, CLM

– BTL Marketing

– Big data, Text Mining, Voice Recognition Analytics

Short B.I.O

FRA

What can we do after?

• Research Agency

• Government

• Private Business Sector

• National Organization

• International Organization

• Other..

1. Wealth Opportunity 2. Learn Opportunity 3. Improve Creativity

FRA

Become Statistician

• Needs to interact with other discipline to make tools works (Interdiscpliner) but Sense of solving problem with statistical idea is most important. Core competency are:

– Applied Statistics In/Out Class

– Business & finance (Macro Micro) Out Class

– IT In/Out Class ,Languages & Personality Out Class

• Nature of statistician daily task are supporting to :

– Understanding Problem

– Finding : Find a hidden pattern/detail to solve problem.

– Explaining : Ability to generate clear and simple explanations from finding.

FRA

Why statistician become sexy Job?

Technology Massive Growth

Reach Information

Intelligent Effective & Efficient Business/Organization

Tight Competition

Customize & Personalize Product/Policy

War on Analytic

FRA

In which Area Statistician Take Part

Extraction Group Miner /Modeller

And Analytic Group

Operational Execution Group

Cleand & Clear Data Insight Factory

Insight utilization to increase Profitability/efficiency

HERE REGARDING 3P=PRODUCT PRICE & POLICY

FRA

Nature of Data in Massive Technology Era

Hyper cube Multi Dimension

High Frequency

Lot of Variable Spatial Temporal

Text,ASCII,Url etc.

Transactional

Near Real Time

Need IT Knowledge, Business Knowledge and Statistical Sense For transforming data to become meaningful insight / knowledge

Super Extra Large Size

FRA

Technical Statistics Method Currently Used

In business analytic process - several statistical tools used for: 1. Develop basic model: Support other model, lifetime valuation and segmentation (K-

means cluster, Cox Regress) 2. Econometric Model : Doing what if analysis, interpolation and extrapolation (forecasting

time series regression) 3. Acquisitions: Predatory acquisition model, best replication 4. Retention : move to competitor prevention (logit reg, CART, C5.0, Quest, CHAID, SVM

Ridge) 5. Stimulation : Propensity product Criteria to select best model : Logic business, Best Lift, Best Gain, Small gap are between wizard and ROC curve. How its run: 1. Factory Wise : Up to several hundred models per year 2. Automatic scheduled . 3. Real time response.

FRA

Understanding Business Questions

1. We must make specific customize product /offer/policy for every distinct person / company Base segmentation

2. I need to know product purchasing cycle to manage crosseling Sequential market basket

3. Can we identify customer that will be go to another competitor product next month then let us identify what offer that fit for retain them dependency model with binary/ordinal/multi classifier

4. We must find out what offer that fit to retain customer in every segment and give us (+) ROI Experimental design + Financial Calc

5. How many base will be retained per month for next 1 year, how many revenue will be generated from them ridge & financial valuation (FV,PV)

6. We will give special treatment for customer that high circle of friend, centre from that link/network or bridge from their network Social Networks/Graph Theory

FRA

Deliver Result

1. Problem solving mostly unique and simple 2. Board of decision makers only need final result with reasonable

:logic process and result. 3. Ability to presenting result in simple and clear manner

1. Slide 5-10 2. Begin slide with 1 slide resume of analysis and followed by 1

slide of simple methodology data extraction, logic to solving problem, variable used, sample used

3. Clear and clear color pattern background of slide 4. Show only pointers not text line /text book

FRA

Conclusion 1. Opportunity for statistician in

next several decade still wide open .

2. It important to learn language and develop personality since its become core competency beside statistical sense it self..

3. Statistics is important but it will become powerful if we can combine statistics with other dicipline (ie. Business and IT).

4. Our ability to fast addapting on ner techonlogy & method for solving problem will be critical in the future regarding massive growth in tecology .

FRA

Questions ?

Thank you