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Big data – enabler of fact-based decision making	

18 April 2013	

	

Otto Söderlund, Partner
2
3	

Big data is high-volume, high-velocity and high-variety information
assets that demand cost-effective, innovative forms of information
processing for enhanced insight and decision making.	

	

-Gartner
4	

Recipe for 
Big Data Success
Baking time: 
1-5 years
Makes: 
5-6% increase in profits
Difficulty: 
Hard

Preparation:
Blend own and bought data into a
solid mixture. Stir in rest of the
ingredients and make sure that
management is committed to use
data. Cook on a low heat stirring
continuously until al dente.
Ingredients:
•  100 TB structured data
•  80 TB non-structured data
•  50 TB bought data
•  Handful of data analysts
•  Committed management
•  Pinch of effective decision-making
processes
Source:Tata Consulting Services 2013	

 5	

15 %	

 15 %	

13 %	

11 %	

 11 %	

8 %	

 8 %	

 7 %	

5 %	

6 %	

0 %	

2 %	

4 %	

6 %	

8 %	

10 %	

12 %	

14 %	

16 %	

Where companies across industries focused their Big Data investments in 2012 (% of total Big Data investments)
Sources:Tata Consulting Service 2013, Economist Intelligence Unit 2012, Harvard Business Review 2012	

 6	

6%	

	

Improvement in profitability for
firms that emphasize decision-
making based on data and
analytics	

54%	

	

Expected return on Big Data
investments across functions	

26%	

	

Average improvement in
performance over the past three
years for processes where Big
Data analytics has been applied
UNCLEAR BIG DATAVISION 	

AND APPROACH	

01	

SEEING TRANSFORMATION 	

PURELY AS A TECHNICAL 	

CHALLENGE	

02	

UNDERESTIMATING 	

RESOURCE AND 	

COMPETENCE NEEDS	

03	

UNDERESTIMATING 	

OPERATIONAL 	

IMPLICATIONS	

04	

Source: Magenta Advisory analysis	

 7	

STARTING 	

TOO BIG	

05
8	

Past:	

Decision making was based on HiPPO
(Highest Paid Person’s Opinion)	

	

Present:	

Anyone can submit ideas and real-
time experimentation engine chooses
best content.	

Picture: STEVE BLOOM / BARCROFT MEDIA
9	

	

We run the company by
questions, not by answers. So in
the strategy process we've so
far formulated 30 questions
that we have to answer. 	

	

- Eric Schmidt, Executive Chairman of Google	

Picture: LA CROIX
10	

	

The price of light is less than the cost of darkness	

	

- Arthur C. Nielsen
Magenta Advisory partner Otto Söderlund's presentation on big data in Magenta breakfast seminar 18-April-2013

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Magenta Advisory partner Otto Söderlund's presentation on big data in Magenta breakfast seminar 18-April-2013

  • 1. Big data – enabler of fact-based decision making 18 April 2013 Otto Söderlund, Partner
  • 2. 2
  • 3. 3 Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. -Gartner
  • 4. 4 Recipe for Big Data Success Baking time: 1-5 years Makes: 5-6% increase in profits Difficulty: Hard Preparation: Blend own and bought data into a solid mixture. Stir in rest of the ingredients and make sure that management is committed to use data. Cook on a low heat stirring continuously until al dente. Ingredients: •  100 TB structured data •  80 TB non-structured data •  50 TB bought data •  Handful of data analysts •  Committed management •  Pinch of effective decision-making processes
  • 5. Source:Tata Consulting Services 2013 5 15 % 15 % 13 % 11 % 11 % 8 % 8 % 7 % 5 % 6 % 0 % 2 % 4 % 6 % 8 % 10 % 12 % 14 % 16 % Where companies across industries focused their Big Data investments in 2012 (% of total Big Data investments)
  • 6. Sources:Tata Consulting Service 2013, Economist Intelligence Unit 2012, Harvard Business Review 2012 6 6% Improvement in profitability for firms that emphasize decision- making based on data and analytics 54% Expected return on Big Data investments across functions 26% Average improvement in performance over the past three years for processes where Big Data analytics has been applied
  • 7. UNCLEAR BIG DATAVISION AND APPROACH 01 SEEING TRANSFORMATION PURELY AS A TECHNICAL CHALLENGE 02 UNDERESTIMATING RESOURCE AND COMPETENCE NEEDS 03 UNDERESTIMATING OPERATIONAL IMPLICATIONS 04 Source: Magenta Advisory analysis 7 STARTING TOO BIG 05
  • 8. 8 Past: Decision making was based on HiPPO (Highest Paid Person’s Opinion) Present: Anyone can submit ideas and real- time experimentation engine chooses best content. Picture: STEVE BLOOM / BARCROFT MEDIA
  • 9. 9 We run the company by questions, not by answers. So in the strategy process we've so far formulated 30 questions that we have to answer. - Eric Schmidt, Executive Chairman of Google Picture: LA CROIX
  • 10. 10 The price of light is less than the cost of darkness - Arthur C. Nielsen