From Big Data to Big Information
SAP Big Data Forum

Den Bosch, October 10th 2013
© 2013 Deloitte The Netherlands
© 2013 Deloitte The Netherlands
The Big Data challenge is structured around four dimensions

Data &
Information

Organization

3

SAP Big Data Forum - Oct...
Knowing what you would like to know is essential

Begin with the decision makers and their
crunchy questions and then work...
Asking Crunchy Questions

D&I

Some examples

Customers and social media
• What’s the buzz about your company
online—and h...
Part of the Big Data value is coming from the unknowns, however
processes and governance are still required

Crunchy quest...
Skills you need for turning Big Data into Big Information
O

 Functional experts with industry and
domain specific skills...
The requirements for processing large amounts of data, advanced
analytics and complex visualisation require the right IT
i...
A five step approach from Big Data to Big Information

Plan
Vision & Strategy

Begin the Analytics
Journey by exploring
th...
“Better to have an approximate answer to the right question
than a precise answer to the wrong question.”

John Wilder Tuk...
Contact
Jorg Schalekamp
Director
Business Intelligence & Analytics
JSchalekamp@deloitte.nl
+31 88 288 72 17 (work phone)
+...
Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee, and its net...
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SAP Big Data Forum 2013 A2 Deloitte

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SAP Big Data Forum 2013 A2 Deloitte

  1. 1. From Big Data to Big Information SAP Big Data Forum Den Bosch, October 10th 2013 © 2013 Deloitte The Netherlands
  2. 2. © 2013 Deloitte The Netherlands
  3. 3. The Big Data challenge is structured around four dimensions Data & Information Organization 3 SAP Big Data Forum - October 10th 2013 Technology Governance & processes © 2013 Deloitte The Netherlands
  4. 4. Knowing what you would like to know is essential Begin with the decision makers and their crunchy questions and then work to find the appropriate choices of data sources and technologies to address the needs. Four ways to benefit D&I Linking Data to Strategy and Enterprise Value: Understanding the data as completely as possible and clearly identifying its links to various value levers is critical before designing any Big Data Solution. Generate Cash Reduce Risk Tailoring User Experiences for Big Data: The insights derived from processing and analyzing huge volumes of data need to be communicated to the decision makers at the right time, in the right format and in the right amount to realize business value. Increase Quality 4 SAP Big Data Forum - October 10th 2013 © 2013 Deloitte The Netherlands
  5. 5. Asking Crunchy Questions D&I Some examples Customers and social media • What’s the buzz about your company online—and how could it impact sales forecasts? • What are analysts saying about your organization? What about customers and online influencers? • Who are the next 1,000 customers you’ll lose—and why? • Which trade promotion programs have the highest impact on • profitability? • What factors most influence customer loyalty? Why? • How do factors such as politics and demographics affect the price your customers are willing to pay? • Which factors have the most adverse effects on customer satisfaction? Sustainability and supply chain • Which facilities are using more energy than they should? • Which suppliers are at risk of going out of business? • What is the impact of shipping costs on pricing? • Which locations offer the best options for setting up your next distribution center? Employees and risk • Which new-hire characteristics best reflect your organization’s risk intelligence profile? • Which are most likely to steal from you? • Why do high-potential employees leave your company? What would cause them to stay? A venerable motto of computer science is GIGO: “garbage in, garbage out.” Perhaps an analogous motto for the nascent field of data science ought to be NIINO: “no insight in, none out.” 5 SAP Big Data Forum - October 10th 2013 © 2013 Deloitte The Netherlands
  6. 6. Part of the Big Data value is coming from the unknowns, however processes and governance are still required Crunchy questions in G&P “While the potential benefits of big data get a lot of attention, less attention is given to the costs.” H II IV III Value I High value insights out Establishing Agile Data Governance: Big Data solutions need to embrace agility but data governance still needs to be in place to deliver business insights cost-effectively. Traditional data governance must evolve to encompass non-traditional data sources. 6 SAP Big Data Forum - October 10th 2013 L L Effort H Quality becomes a multi-faceted concept in Agile Data Governance as:  Data comes from external uncontrolled sources  Data is deliberately not normalized  Extracting data structures requires reviews © 2013 Deloitte The Netherlands
  7. 7. Skills you need for turning Big Data into Big Information O  Functional experts with industry and domain specific skills Functional Expertise Professional Services Information Consumption and Decision Making Application Programming BI Data Analysis Data Management Infrastructure Management  Management, scientific and technical consultants BI, Advanced Analytics and Big Data experts  Analytics oriented decision makers      Data and Business Analysts Data Scientists Research Specialists BI Professionals Application Programmers  Data Architects  Data Management Professionals  Infrastructure Management and Support Professionals Statisticians, Mathematicians, Computer Scientists, Data Mining Experts, Operations Research Analysts, Scientists … Distributed database management experts, NoSQL experts Distributed Systems Management experts, Cloud Management experts Enabling Big Data Management and Analytics T. Davenport & D. Patil – HBR Oct 2012 7 SAP Big Data Forum - October 10th 2013 © 2013 Deloitte The Netherlands
  8. 8. The requirements for processing large amounts of data, advanced analytics and complex visualisation require the right IT infrastructure and software Gather Analyze T Store Vizualize Managing Hybrid Data Architectures: Big Data technologies complement existing data architectures. However, organizations need to understand the trade-offs to design the optimal data architecture that not only addresses the business needs but is also scalable. 8 SAP Big Data Forum - October 10th 2013 © 2013 Deloitte The Netherlands
  9. 9. A five step approach from Big Data to Big Information Plan Vision & Strategy Begin the Analytics Journey by exploring the business challenges to be answered by Analytics. Define the Analytics Strategy to meet the challenges Analytics Maturity Assessment Roadmap Define a roadmap of initiatives to build Analytics capabilities Understand the current state, benchmark and define more detailed requirements for analytics capability 5 Design, deploy and exploit new capabilities. Monitor and evolve over time. 4 3 2 1 Assess challenges and identify opportunity to define an Analytics strategy Perform gap analysis and draft roadmap Assess current capability and data landscape Implement pilots and PoCs to test hypotheses and create success stories Proof of Concepts and pilots allow hypotheses to be tested and the roadmap to be refined, creating buy in for the Analytics initiatives Deliver the capabilities set out in the Analytics Strategy and start exploitation with business users to ensure uptake and continuous improvement Analytics Target Operating Model Vendor Selection Execute 9 SAP Big Data Forum - October 10th 2013 © 2013 Deloitte The Netherlands
  10. 10. “Better to have an approximate answer to the right question than a precise answer to the wrong question.” John Wilder Tukey (1915-2000) 10 SAP Big Data Forum - October 10th 2013 © 2013 Deloitte The Netherlands
  11. 11. Contact Jorg Schalekamp Director Business Intelligence & Analytics JSchalekamp@deloitte.nl +31 88 288 72 17 (work phone) +31 6 13 127 559 (mobile phone) . Deloitte Analytics Like other companies, we can help our clients capture, manage and analyze their data. But only Deloitte has the deep industry expertise, advanced analytics capability, and understanding of decisionmakers’ roles to maximize its value – turning everyday information into useful and actionable insights. 11 SAP Big Data Forum - October 10th 2013 © 2013 Deloitte The Netherlands
  12. 12. Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee, and its network of member firms, each of which is a legally separate and independent entity. Please see www.deloitte.nl/about for a detailed description of the legal structure of Deloitte Touche Tohmatsu Limited and its member firms. Deloitte provides audit, tax, consulting, and financial advisory services to public and private clients spanning multiple industries. With a globally connected network of member firms in more than 150 countries, Deloitte brings world-class capabilities and high-quality service to clients, delivering the insights they need to address their most complex business challenges. Deloitte has in the region of 200,000 professionals, all committed to becoming the standard of excellence. This communication is for internal distribution and use only among personnel of Deloitte Touche Tohmatsu Limited, its member firms, and their related entities (collectively, the “Deloitte Network”). None of the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on this communication. © 2013. For information, contact Deloitte Touche Tohmatsu Limited. © 2013 Deloitte The Netherlands
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