Better Decision Making

Dr. Wolfgang Martin Analyst and Member of the Boulder BI Brain Trust

Better Decision Making –

Big Data Analytics

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.

3 © 2013 S.A.R.L. Martin

Processes and Decisions

Cycle Speed

End

Result

Business Process

Act

_Decide

Measure

Strategy

Events

Information Management



Processes Consume and Produce Information.



_{Processes Turn Information into Value.}

Information Governance Da ta Integrat ion Mast er Da ta Manag em ent Da ta Quality

Information Life Cycle Management

Data Definition, Data Modeling, Data Classification, Data Security, Data Protection, Data Archiving

5 © 2013 S.A.R.L. Martin



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

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.

The Big Data Universe

source: Tech Target & Diya Soubra

Big Data – a Definition

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“.

“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 10.04.2013)

Big Data: Structures and Latency

 Classification of Big Data Vendors According To

Data Structure and Latency Requirements

.

9 Batch Real-Time High ly Structu red po ly -Struc tu re d massively parallel Data Warehouses

(IBM Pure Data, Teradata)

Analytic NoSQL DB

(Aster, Sybase IQ, Hyperstage)

In-Memory Data Bases

(Oracle x10, SAP HANA)

Data Stream Processing (HStreaming, Streambase) NoSQL: Graph DB, OODB (Neo4J, Versant) Distributed File Systems (Hadoop)

© 2013 S.A.R.L. Martin after: Forrester

Variety

V

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.

The Internet of Things

The 5 Big Data Domains

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.

13 © 2013 S.A.R.L. Martin

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.

(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.

1. Tranparency Through Big Data

nach: Colin White

Data Analysis NoSQL or analytical DBMS Filt ered Data/ A nal y tic Result s Modelled Data Investigate/ Identify

2. Controlling of Actions

Big Data

Monitoring

 Web Analysis

 Click Rates (QR Codes)

 Sensors

 Localization Data

 Video

 etc.

Big Data Methodology: Iterative Inferring and Testing of Hypotheses

3. Real-Time Individualization

17 © 2013 S.A.R.L. Martin

Example (Retail): Optimization of Outdoor Advertising

and the Next Best Local Point of Contact.

Innovative Exploitation of Localization Data Through Geocoding

Performance Management Geocoding Performance Management Rate of Visitors? Local Point of Contact Customer Localization Outdoor Advertising Optimization of Place of Location Customer Profile

4. Optimization Through Big Data

Embedded Real-Time Analytics.

Sensors

other

Big Data Sources

5. Innovation Through Big Data



The Google Car: Driving without Driver.

 Enabling Technologies: Sensors and Real-Time

Analytics, i.e. Big Data.

19 © 2013 S.A.R.L. Martin

Big Data Success Factors

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.

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.

21 © 2013 S.A.R.L. Martin

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

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.

Take Away

23 © 2013 S.A.R.L. Martin

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

www.wolfgang-martin-team.net

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