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Dat a Big Master or Servant?

Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

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Spoiler alert – It’s a servant! As the volume, velocity and variety of data increases, you need to prepare yourself before it becomes too much, too fast and too many. Everything is spitting off data these days and as a research professional it’s your job to keep it under control and integrate it across your enterprise. In this session we’ll look at the business ramifications of Big Data, provide some hard core practical tips and give you a preview to some new data sources you may not see coming.

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Page 1: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

Data

Big

Master or Servant?

Page 2: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

Data

DaytaDahtaIS ARE

Datum?

Page 3: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

Data

Big

Page 4: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

Data

Bigot

Page 5: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

Data WordsIntegrity

CleanFreshTruthTrust

Page 6: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

Hierarchy?Action

KnowledgeInsight

IntelligenceAnalysis

InformationData

Decisions

Page 7: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

Data was first

Everybody Everything

1086

1919

Page 8: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

VelocityBi

gVariety

Volume

Data

Page 9: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

IOP IOTEverybody Everything

Page 10: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

Everybody Everything

Page 11: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

AVOID Misinformation!

It ain’t hereif it ain’t

right!

Geez how do I know

what’s correct?

Dr. Data

1. WHAT DATA?2. WHO USES IT?3. HOW DOES IT HELP?

Everybody’s in the Data Business

Page 12: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013
Page 13: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

IT$ 2017CMO > CIO

Page 14: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

Perkins Law #2BIG DATA NEEDS LITTLE DATA

Little Data is Master Data

BIG DATA: MASTER OR SERVANT?

Page 15: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

Little Data Notions

Ownership

GovernanceSyndicated

ContinuityUniversality

Taxonomy Integratable

ApplicationsNetwork

Branding

Ownership

GovernanceSyndicated

ContinuityUniversality

Taxonomy Integratable

ApplicationsNetwork

Branding

Page 16: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

Summary Explore Little Notions Big Data is a Servant Everybody’s in the data business Good Decisions with Bad Data… Be a DATA Bigot Dayta or Dahta Let’s talk!

Page 17: Big Data: Master or Servant? by Scott Taylor of InfoCommerce Group - Presented at the Insight Innovation eXchange North America 2013

Big

Data

Thank [email protected]