Better Decision Making

Transcription

1 Better Decision Making Big Data Analytics Webinar, November 2013 Dr. Wolfgang Martin Analyst and Member of the Boulder BI Brain Trust

2 Better Decision Making Process Oriented Businesses. Decision Making: Interaction of Processes, Data and Analytics. Big Data Hype or Reality. About Big Data. The Internet of Things. Adding Value through Big Data. Earning Money with Big Data. Critical Success Factors of Big Data S.A.R.L. Martin

3 Processes and Decisions Strategy Events Business Process Goal End Result Cycle Speed Act Decide Measure S.A.R.L. Martin

4 Data Integration Master Data Management Data Quality Information Management Information Governance Information Life Cycle Management Data Definition, Data Modeling, Data Classification, Data Security, Data Protection, Data Archiving Processes Consume and Produce Information. Processes Turn Information into Value S.A.R.L. Martin

5 Information is a Critical Sucess Factor Decisions Must Be Based on Information. Process Management Needs Information Management. No Process without Data. Make Information Management Top Priority. Information Management Needs Business Attention. Processes, Data and Analytics Should Be Under a Single Responsibility. Master Data represent the Business and its Assets. Take Away S.A.R.L. Martin

6 Better Decision Making Process Oriented Businesses. Decision Making: Interacting Processes, Data and Analytics. The Role of Master Data Management. Big Data Hype or Reality. About Big Data. The Internet of Things. Adding Value through Big Data. Earning Money with Big Data. The Role of Master Data. Critical Success Factors of Big Data S.A.R.L. Martin

7 The Big Data Universe Velocity source: Tech Target & Diya Soubra MB GB TB PB Volume Variety Big Data: Expanding on 3 fronts at an increasing rate S.A.R.L. Martin

8 Big Data a Definition Big data is high-volume, -velocity and -variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. (Gartner [1]) [1] see Forbes (Zugriff am ) Characteristics of the Definition: The three Vs, Information as an Asset, Cost-effective, innovative forms of information processing, Enhanced insight and decision making, The fourth V: Value S.A.R.L. Martin

9 poly-structured Velocity Highly Structured Big Data: Structures and Latency massively parallel Data Warehouses (IBM Pure Data, Teradata) Analytic NoSQL DB (Aster, Sybase IQ, Hyperstage) In-Memory Data Bases (Oracle x10, SAP HANA) Batch Real-Time Distributed File Systems (Hadoop) NoSQL: Graph DB, OODB (Neo4J, Versant) Data Stream Processing (HStreaming, Streambase) Variety 9 Classification of Big Data Vendors According To Data Structure and Latency Requirements S.A.R.L. Martin after: Forrester

10 The Digitalization of the World After the Globalization follows the Digitalization of the World. BPM and the Four IT Mega Trends: Information Dictates the Digitized World S.A.R.L. Martin

11 The Internet of Things Virtual World Real World Convergence Digitalization The 5 Big Data Domains S.A.R.L. Martin

12 From Data to Big Data Big Data is More Than Technology: It is About Adding Value Through Information. Big Data Includes Structured and Poly- Structured Data as well as Static and Real-Time Data. Big Data Achieves Added Value in All Vertical Markets Through Information. Big Data is Driven by the Internet of Things (Mobile, Social, Cloud): Big Data is a Fact to Deal With. Take Away S.A.R.L. Martin

13 Better Decision Making Process Oriented Businesses. Decision Making: Interacting Processes, Data and Analytics. The Role of Master Data Management. Big Data Hype or Reality. About Big Data. The Internet of Things. Adding Value through Big Data. Earning Money with Big Data. The Role of Master Data. Critical Success Factors of Big Data S.A.R.L. Martin

14 (Big Data) Analytics Analytics Turns Information into Knowledge. Identify and Resolve Problems Before They Occur. Ubiquitous Intelligence. Examples: Better Purchasing and Selling: Knowing its Suppliers and Customers. Better Processes: Optimize Resources and Material Usage S.A.R.L. Martin

15 Modelled Data 1. Tranparency Through Big Data Polystructured Data Big Data Investigate/ Identify NoSQL or analytical DBMS Filtered Data/ Analytic Results Data Analysis Analytical Applications & Services Data Integration Data Archiving, Filtering, Transformation Data Analysis Structured Data External and Enterprise Data ETL/ELT Enterprise Data Warehouse Analytical Applications & Services S.A.R.L. Martin nach: Colin White

16 2. Controlling of Actions Big Data S.A.R.L. Martin Monitoring Web Analysis Click Rates (QR Codes) Sensors Localization Data Video etc. Big Data Methodology: Iterative Inferring and Testing of Hypotheses

17 3. Real-Time Individualization Innovative Exploitation of Localization Data Through Geocoding Optimization of Place of Location Performance Management Outdoor Advertising Geocoding Customer Profile Performance Management Customer Localization Local Point of Contact Rate of Visitors? Example (Retail): Optimization of Outdoor Advertising and the Next Best Local Point of Contact S.A.R.L. Martin

18 4. Optimization Through Big Data Process Sensors Composed Service Analytical, Collaborative & Transactional Services Data Virtualization S.A.R.L. Martin Events & Sensors Operational Data Files, XML, Spreadsheets external Data Data Warehouse Embedded Real-Time Analytics. other Big Data Sources

19 5. Innovation Through Big Data A Thought-Provoking Impulse: The Google Car: Driving without Driver. Enabling Technologies: Sensors and Real-Time Analytics, i.e. Big Data S.A.R.L. Martin

20 Big Data Success Factors Stephen Shelton s Tweet (@sdsdev, 28th of March): Many businesses fail to have analytics as its cultural core. This is why Big Data confuses many. Critical Success Factors of Big Data: Creating an Analytical Culture. Establishing New Ways of Decision Making. Building the Required Expertise. Focusing on Master Data Management. Strengthening of Information Governance within Big Data Management S.A.R.L. Martin

21 Magic Numbers But: Usage of Big Data is not only a Question of Mathematics and Technology! Question of Privacy. Question of Data Protection. Question of Information Governance. Question of Social Governance (Social CRM: Social Media Guidelines). Question of Processes (What do you do, if...) S.A.R.L. Martin

22 Big Data Adds Value Big Data Analytics Produces Added Value of Big Data. Big Data Creates Transparency Through More and More Detailed Information. Big Data Puts Decisions and Actions on Facts. Big Data Enables Precise, Individualized Interactions. Big Data Allows More Automation Through Targeted Observations und Empowers Processes by Intelligence. Big Data Drives Innovation Through Information S.A.R.L. Martin Take Away Big Data Usage needs Big Data Ethics.

23 Decision Making in the Era of Big Data. The Digitalization of the World Creates Big Data. The IT Mega Trends (Social Media, Cloud, Mobile Internet and Big Data) converge to the Internet of Things. The Internet of Things changes the Business: Processes, Data and Analytics Must Be Put into this New Context. White Paper/Research Notes: Download at Contact: S.A.R.L. Martin