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Big Data Analytics – How to get started?
www.ortec-consulting.com mduijn@ortec.com
Michael van Duijn
CEO, ORTEC Consulting Group
WE CANNOT SOLVE OUR PROBLEMS WITH THE
SAME THINKING USED WHEN CREATING THEM
- Albert Einstein -
ADVANCED ANALYTICS & OPTIMIZATION
COMPETITIVE
POSITION
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
BIG DATA IS DATA THAT CAN NOT BE PROCESSED BY ‘NORMAL’ MEANS DUE TO
VOLUME, VELOCITY, VARIETY AND/OR VERACITY
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
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
DASHBOARDING & ALERTS
powered by Spotfire
STATISTICS & FORECASTING
powered by RStudio
MODELING & OPTIMIZATION
powered by AIMMS
WHERE IS YOUR COMPANY ON BIG DATA ANALYTICS?
Source: Davenport
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
ORTEC SURVEY - RANKING & SCORE ON CRITICAL SUCCESS FACTORS
ORTEC SURVEY - BIG DATA ANALYTICS & OPPORTUNITIES FOR IMPROVEMENT
SO……..
HOW TO GET STARTED WITH BIG DATA
ANALYTICS?
PEOPLE & SKILLS
A BIRD EYE’S VIEW ON HOW TO CLIMB THE
ANALYTICS MATURITY CURVE
TOOLING & TECHNOLOGY
PROCESS & ORGANIZATION
PERFORMANCE
ASSESSMENT
BUSINESS ANALYSTS
KEEP UP WITH YOUR QUANTS
- Thomas Davenport -
SOFTWARE ENGINEERS
DATA SCIENTISTS
OPTIMIZATION EXPERTS
ANALYTICALPEOPLE
“QUANTS”
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
YOUR FLIGHT TO BIG DATA ANALYTICS HAS TAKEN OFF
Thank you.
Michael van Duijn
CEO, ORTEC Consulting Group
www.ortec-consulting.com mduijn@ortec.com
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Getting Started with Big Data Analytics

  • 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
  • 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 Did you miss something? Get the OPTIMUS apps.