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Predictive Analytics. Mainstream ready?

Published on Nov 18, 2015

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PRESENTATION OUTLINE

1.

PREDICTIVE

THE NEXT STEP IN THE EVOLUTION OF BI?
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2.

WHAT IS THE GOAL TODAY

  • What is the opportunity
  • Is it right for us
  • How do we proceed
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3.

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4.

Executives overwhelmingly consider predictions (70%) to be the most critical type of data insight, when it comes to supporting C-suite-level decisions, followed by insights into trends (43%).

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5.

WHO ARE THE PLAYERS

  • Big BI vendors
  • Niche and specialist
  • Business consulting
  • Academia?
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6.

SALES EVOLUTION?

  • Hire a quant
  • Consulting packages
  • Enterprise capability
  • Self driven software
  • Mainstream?
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7.

STRENGTHS OF AGILITY

  • Great data foundation
  • Reputation for innovation in BI
  • Relationship with SAP
8.

BUILDING BLOCKS

  • Credibility
  • Capability
  • Technology
  • Data
  • Clients
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9.

CREDIBILITY

  • Done it before
  • Certification of individuals
  • By association
  • Partner awards
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10.

BUILDING CAPABILITY

  • Hire it
  • Train it
  • Outsource (on demand) it
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11.

DATA

  • Cloud vs. on premise
  • What data do we want to own
  • Privacy and reputation
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12.

WHICH TECHNOLOGIES

  • R
  • Hadoop and open source
  • HANA, Netezza, Oracle
  • SPSS, SAS, KXEN etc
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13.

HOW DO WE START

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Adrian Jackson