the challenges of big data, how data capable is your business? dqm group
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The Challenges of Big Data How Data Capable is your Business?
Christine Andrews – DQM Group
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I’ll Cover
• What’s all the fuss about? • The challenges of Big Data • Who’s doing Big Data well• How can you tell how well you’re doing• How to make your organisation more “data capable”• Beware the EU
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What exactly is Big Data?
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IBM and Sas Definitions
Variability and Complexity
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What can you do that you couldn’t do before?
• Recalculate entire risk portfolios• Mine customer data for new insights• Quickly (and I mean quickly) identify the customers
who matter most • Send tailored communication to mobile devices at
exactly the right time• Analyse data from new social media
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Whole new set of challenges
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Sas and Economist Survey
Aware of power of data but not exploiting data collected
Need for defined data strategy
Talent matters as much as the technology
Growth in web tracking and Social media data
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Big Data in Action
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You don’t know what you don’t know
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The Data Maturity Curve
AwareHave issues but doing little about them
ReactiveCan fix some issues as they arise but can’t fix/identify root cause.
ProactiveCan address root cause and stop issues before they occur. Conducts ongoing monitoring.
ManagedHas a mature set of practices. Identifies and fixes issues but also defines strategy in a manner focussed on information development.
Optimal
Centre of excellence. Information development is a core competency across strategy, people, process, organisation & technology
Based on the MIKE2.0 Methodology
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How to Measure
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People, Process, Policy, Technology, Measurement, Compliance
Output
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Technology – Example
Data Analysis Extent to which data analysis technologies are appropriately deployed
Data Quality Metrics Considers the inclusion of automated data quality metrics
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People
AuditsBenchmarking
Common Data Services
Communication Plan
Dashboard (Tracking / Trending)
Data Analysis
Data Capture
Data Ownership
Data Quality MetricsData Quality Strategy
Data Standardisation
Data Validation
Executive Sponsorship
Functional Requirements
Master Data Management
Privacy
Security
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5.0
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Map your data flows and touch points
Data Assets
Source Systems/
Data
Customer Data
Integration
Enterprise Application
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Surveys & Competiti
ons
Analytics
SaaS
Staff
Consultants
Branches
Backup
Call Centres
Point of Sale
Online Collection
Telephone Collection
Warranty Cards
3rd Party Data
Printers & Mailing Houses
Data Bureaux
Marketing Agencies
Customers Others?
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Data Strategyand
compliance
Data Team
Solving data quality at source
3rd Parties
Roadmap
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Impact of EU Legislation
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Compliance
Audits
Metadata Management
Data Quality Metrics
Data Analysis
Security
Issue Identification
Service Level Agreements
Data Subject Area Coverage
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5.0
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Summary
• Big Data offers significant opportunities but presents challenges
• Think carefully about your current data capabilities before embarking on new ones
• Consider the people you need and the processes you follow as well as the IT
• Don’t forget compliance and any future EU legislation
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Thanks for Listening
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