This document discusses how companies can get started with big data analytics. It begins by stating that advanced analytics and optimization are key for companies to survive, innovate, and outperform. It then discusses that big data analytics requires learning about computer science, business knowledge, and analytics. The document outlines an analytics maturity curve companies can follow to progress from standard reports to predictive modeling. It provides examples of tools that can be used for dashboarding, statistics, forecasting, and modeling. Finally, it recommends assessing current capabilities, focusing on skills development, using the right tools and technology, implementing effective processes, and regularly measuring performance to climb the analytics maturity curve.

1. Big Data Analytics – How to get started?
www.ortec-consulting.com mduijn@ortec.com
Michael van Duijn
CEO, ORTEC Consulting Group

2. WE CANNOT SOLVE OUR PROBLEMS WITH THE
SAME THINKING USED WHEN CREATING THEM
- Albert Einstein -
ADVANCED ANALYTICS & OPTIMIZATION
COMPETITIVE
POSITION

3. ADVANCED ANALYTICS & OPTIMIZATION IS KEY
FOR COMPANIES TO SURVIVE, INNOVATE AND
OUTPERFORM
PEOPLE
Analysts, data scientists, OR & software engineers
TECHNOLOGY
Off-the-shelf platform & tools, tailor made models
ANALYTICS & CONSULTING
For every level of analytics maturity
ORTEC
CONSULTING

4. BIG DATA IS DATA THAT CAN NOT BE PROCESSED BY ‘NORMAL’ MEANS DUE TO
VOLUME, VELOCITY, VARIETY AND/OR VERACITY

5. BIG DATA REQUIRES YOU TO LEARN A NEW
“A-B-C”
COMPUTER SCIENCE
…..NO, this is not computer programming
BUSINESS KNOWLEDGE
…..with an eye for IoT and Big Data
ANALYTICS
…which is NOT the same as reporting/BI
WHATYOUNEED

6. ANALYTICS MATURITY CURVE
STANDARD
REPORTS
WHAT HAPPENED?
AD HOC
REPORTS
HOW MANY, HOW OFTEN, WHERE?
QUERY
& DRILL-
DOWN
WHERE EXACTLY IS THE PROBLEM?
ALERTS
WHAT ACTIONS ARE NEEDED?
OPTIMI-
SATION
WHAT IS THE BEST THAT CAN HAPPEN?
PREDICTIVE
MODELING
WHAT WILL HAPPEN NEXT?
FORE-
CASTING
WHAT IF THESE TRENDS CONTINUE?
STATISTIC
ANALYSIS
WHY IS THIS HAPPENING?COMPETITIVEADVANTAGE
DEGREE OF INTELLIGENCE
Source: Davenport

7. DASHBOARDING & ALERTS
powered by Spotfire

8. STATISTICS & FORECASTING
powered by RStudio

9. MODELING & OPTIMIZATION
powered by AIMMS

10. WHERE IS YOUR COMPANY ON BIG DATA ANALYTICS?
Source: Davenport

11. Analytically
impaired
(stage 1)
Early stage
analytics
(stage 2)
Later stage
analytics
(stage 3)
Analytical
companies
(stage 4)
Data Poor quality
data, poorly
organised
Better quality,
spread over the
organization
Begin of
centralised data
organization
High quality
data in central
warehouse
Enterprise N/A Data, technolo-
gy and expertise
still in silo's
Enterprise wide
approach
starting
Enterprise wide
approach for
resources
Leadership No awareness
or interest
Very limited
awareness and
interest
Leadership
supports
analytics
Leadership
pushes analytics
Targets N/A Targets not
much linked to
overall strategy
Limited set of
targets linked to
overall strategy
Targets linked to
overall strategy
Analysts Few skills, atta-
ched to specific
domains
More skills in
more domains
Good analysts in
many rele-vant
domains
World class ana-
lystst in all rele-
vant domains
DELTA MODEL
5 CATEGORIES, 4 STAGES

12. ORTEC SURVEY - RANKING & SCORE ON CRITICAL SUCCESS FACTORS

13. ORTEC SURVEY - BIG DATA ANALYTICS & OPPORTUNITIES FOR IMPROVEMENT

14. SO……..
HOW TO GET STARTED WITH BIG DATA
ANALYTICS?

15. PEOPLE & SKILLS
A BIRD EYE’S VIEW ON HOW TO CLIMB THE
ANALYTICS MATURITY CURVE
TOOLING & TECHNOLOGY
PROCESS & ORGANIZATION
PERFORMANCE
ASSESSMENT

16. BUSINESS ANALYSTS
KEEP UP WITH YOUR QUANTS
- Thomas Davenport -
SOFTWARE ENGINEERS
DATA SCIENTISTS
OPTIMIZATION EXPERTS
ANALYTICALPEOPLE
“QUANTS”

17. MBA BIG DATA & BUSINESS ANALYTICS
ANALYTICS ACADEMY
BIG DATA ALLIANCE
IN THEORY, THEORY AND PRACTICE ARE THE
SAME, IN PRACTICE THEY ARE NOT
- Albert Einstein -
BIGDATA

18. YOUR FLIGHT TO BIG DATA ANALYTICS HAS TAKEN OFF

19. Thank you.
Michael van Duijn
CEO, ORTEC Consulting Group
www.ortec-consulting.com mduijn@ortec.com
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