Becoming a data driven organisation - ... 2016/04/03  · Becoming a data driven...

Click here to load reader

  • date post

    05-Aug-2020
  • Category

    Documents

  • view

    0
  • download

    0

Embed Size (px)

Transcript of Becoming a data driven organisation - ... 2016/04/03  · Becoming a data driven...

  • Becoming a data driven organisation

    By Patrick Bryan

  • How do leaders describe data….

    22

    • Being data-driven is the art and ability to leverage all business assets to exercise judgment in the decision process – Stephane Hamel (Data & Analytics Leader)

    • Data Driven Analytics is the mathematics which is the pattern of discovery & anomaly detection - Sammy Haroon (Director Enterprise Data Analytics, Baker Hughes, Inc.)

    • Data is a raw material to be mined – Steven Adler (Chairman, Data Governance Council, IBM)

    • Data is rapidly becoming a Business Issue, a Business Strategy Issue – Chris Mazzei (Chief Analytics Officer, EY)

    • The goal is to move the company to be more insight driven – Hima Patel (VP Enterprise Integration & Customer Collaboration, Merck)

  • Data Confidence

    33

  • How bad can it be?

    44

  • Everyone's view of data is different

    55

    • A man goes into a jewellers and buys an expensive watch … • Is it fraud – in which case the bank must stop it

    • Is it money-laundering – in which case the bank must report it

    • Does he have expensive tastes – in which case perhaps he would be interested in a loan?

    • Has he just won the lottery – should the bank improve the services offered?

    Threat

    Obligation

    Opportunity

    Opportunity

  • How do we change?

    66

    • Grow a data driven culture…can I change how data is used?

    • Governance, Integration and Quality

    • Performance

    • Analytics

    Focus points for a Data and Analytics Driven Organisation

  • Gartner’s key to establishing a data driven organization

    77

    1

    CDO/CIO Mobile/Web App DevelopersBusiness Users

    Develop a curiosity

    driven workforce Move from elite few to

    empowered many

    Imagine what’s possible!

    Lead a data-driven

    transformation

    Fuel their curiosity

    and creativity

    Innovate faster

    and scale securely

  • An example transformation

    88

    1 THE ENTERPRISE DATA WAREHOUSE

  • An example transformation

    99

    1 • Time to deliver business value down from 6 months to 2 months

    • Efficiency up 20%

    • Daily cost of teams down 40%

    • Feature delivery cost down 30%

    • 100% of features delivered on time and on budget

    • Happy Stakeholders (49% - 20% = NPS 29 )

    • Happy Teams (65% - 22% = NPS 43)

    The Results

    How likely are you to recommend us to a colleague?

  • How do we change?

    1010

    • Grow a data driven culture

    • Governance, Integration and Quality… can I trust it ?

    • Performance

    • Analytics

    Focus points for a Data and Analytics Driven Organisation

  • Data governance in action

    1111

    Canadian National Railway Company – Establishes data governance to

    improve decision making

    Establishes governance providing an unambiguous way to process and share

    information

    "IBM empowers users with information so that they can work more autonomously."

    — Philippe Chartier, BI Team Lead, Information Delivery,The Canadian National Railway Company

    Standardizes terminology into market share, including specific areas of strength

    and weakness as compared to competitors

    Accelerates analytics to deliver faster insight from trusted data

    The transformation: Standardized its metadata and business

    terminology across the enterprise, creating a company-wide

    glossary and a universal data model to improve decision-making.

  • Governance, Integration and Quality

    1212

    Information Governance Catalog

    Understand & Collaborate

    •Catalog technical metadata &

    align w/ business language

    •Manage data lineage

    Data Quality

    Cleanse & Monitor

    •Analyze & validate

    •Cleanse & standardize

    •Define, manage & monitor

    data rules + exceptions

    Data Integration

    Transform & Deliver

    • Provide scalability

    • Power for any complexity

    • Deliver in batch and/or real-time

    Information

    Governance

    Data

    Integration Data

    Quality

  • How do we change?

    1313

    • Grow a data driven culture

    • Governance, Integration and Quality

    • Performance…. can I make it faster ?

    • Analytics

    Focus points for a Data and Analytics Driven Organisation

  • Increased performance grows revenue and reduces costs

    1414

    Carphone Warehouse increases profitability through new revenue streams

    & reduced costs

    Up to 1200X faster performance; reports that once took an hour to run now take seconds

    “IBM provided huge technical advantages & big business advantages. We can now insure devices on behalf of a bank in the UK, which we couldn’t have done before.”

    — Paul Scullion, Head of Business Intelligence

    50% reduction in time to market for new business intelligence

    services

  • Increased performance grows revenue and reduces costs

    1515

    Appliances for Analytics Speed - 10-100x faster than traditional custom

    systems1

    Simplicity - minimal administration and tuning

    Scalability - petabyte+ scale user data capacity

    Smart - high performance, advanced analytics

    1 Based on IBM customers' reported results. "Traditional custom systems" refers to systems that are not professionally pre-built, pre-tested and optimized. Individual results may vary.

    Purpose-built analytics appliance

    Integrated database, server and

    storage

    Standard interfaces

    Low total cost of ownership

    Try it with your data Bring your data to our POC server

    Bring our POC Server to your data

  • How do we change?

    1616

    • Grow a data driven culture

    • Governance, Integration and Quality

    • Performance

    • Analytics….. how do I do it better !

    Focus points for a Data and Analytics Driven Organisation

  • Grow customers using data algorithms

    1717

    eHarmony Attracts New Members by Understanding Behavior and Fine-

    tuning Matching Algorithm

    "Through the entire subscription lifecycle, the company tracks everything members do on the website. This process generates an enormous amount of data, which would be completely wasted without the ability to extract hidden insights about how members behave.”

    — eHarmony C-Level executive

    96% decrease in query run times (from 1 hour to 2 minutes)

    100% increase into market in subscriber base

    Reduced spending On low-return promotional activities

  • Types of Analytics

    1818

    Descriptive Get in touch with reality, a single source of

    the truth, visibility

    Predictive Understand the most likely future scenario,

    and its business implications

    Prescriptive Collaborate for maximum business value,

    informed by advanced analytics

    Cognitive Deeply analytical computing systems that learn &

    interact naturally with people

    What happened?

    What will happen?

    What should we do about it?

    Volume (data at rest)

    Velocity (data in motion)

    Variety (many forms of data)

    Veracity (data in doubt)

    Watson Analytics

    How do we optimize a dynamic, Data

    environment?

  • How to get started…

    1919

    Imagine it. Realize it. Trust it.

    Build a culture

    that infuses

    analytics

    everywhere

    Invest in a big

    data & analytics

    platform

    Be proactive

    about privacy,

    security and

    governance