Transforming Your Operations
Presented By: Mark Johnston, Product Adoption Manager
The Role of Data Governance
August 13, 2014
Agenda• Why Data Governance?• What is it?• Who should care about Data?• How do you do Data Governance?• Where do we go from here?
About Us
• We provide real-time end-to-end process level performance measurement and visibility
• Gain real-time operational insight into errors and process inefficiencies caused by disparate systems and product silos
• Automate reporting, reconciliations, and controls across your critical business processes
Infogix partners with leading companies to help them realize immediate and long-term operational transformation through the implementation of our various products and services. Customers realize the full value of the Infogix solution set when they leverage these solutions in a continuous cycle of operational improvement.
Why Data Governance?
“The Business doesn’t care about data”
• … they do care about outcomes as a result of good data …
• … business expectations don’t match results of data governance or IT deliverables …
• … isn’t seen as a priority since its seen as “techy” …
Why Data Governance?
“IT should worry about data”
• … good data and analysis drives outcomes …• … cross-functional ownership of data works
best …
Deliver business results• Minimize Risk• Maximize Opportunity• Drive Innovation
What Is It?
Data Governance = Data Integrity
Control Compliance Confidence
Information, Access controls, File/Log
monitoring, SOD, Fraud Detection, Firewall/Security monitoring, Reconciliation
Regulatory Compliance, Audit
Visibility, Real-time alerting, System independent, Cross
system, Continuous
What Is It?Information Sources Elements of Governance Results Users
Positional, Delimited, or
Freeform Records & Reports
Relational Database
XML
Binary Data from
Apps
Spreadsheets
ERP
Message Queues
3rd Party Controls
Data Quality
Reconciliation
Data Controls
Monitoring
Reporting
Analytics
Web-Based Viewing of Controls
Email Alerts
Freeform Reports
Analytics
Business
Process Owner
IT Controls Team
Compliance
Teams
Internal Audit
Management
Finance Teams
From Data to OutcomesIn Canada, the likelihood that a prepaid subscriber will move to postpaid service increases by more that twice if the prepaid subscriber receives more than 24 calls in a 3 month period.
Predictive Analytics Prescription: Make Offer
Average claim due to fraud doubles in pharmacies which have fulfilled prescriptions for patients who were deceased at least 6 months before the prescription was filled.
Predictive Analytics Prescription: Surveillance
Chase has harnessed the power of predictive analytics to make data-driven decisions about its consumer loan and myriad other lines of business. From its analytics efforts, Chase understood the value of customer characteristics and smartly ascertained which customers qualified for its "lower your mortgage" valued-customer program.
Predictive Analytics Prescription: Select Customers
Citycell found a correlation between the purchase of prepaid phones and civil unrest in the Congo. When there was unrest the people wanted to move their money to US dollars which is the currency of the phone.
Predictive Analytics Prescription: Early Intervention
A large Australian bank was able to increase its revenues by over 20% and increase its customer satisfaction score by using existing customer data to offer relevant products (balance transfers, increase in credit limit, insurance) each time a customer called to activate a new credit card.Predictive Analytics Prescription: Make Offer
Driving Risk & Opportunity OutcomesAcquisition Usage Churn Bad DebtCustomer
OnboardingRisk/Opportunity Usage Risk
Up-SellCross Sell
RevenueRetention
/RiskCollect/Retain
Review Process Reporting
Statements BillingSettlements &
PaymentsCredits/
Vouchers FinancialRegulatory Compliance
Analytics + Controls + Visibility
Cus
tom
ers
Ope
ratio
ns
Driving Outcomes with Rules & Analytics
Process Controls
Data Quality Controls
Statistical Analytics
Predictive Analytics
Prescriptive Analytics
High Volume (Big Data) Sources Real Time Feeds Cloud
Exception Management Advanced Visualization
Data Governance Coverage
Executives
Operations
Data Generation
Analytics/Outcomes
How Do You Do Data Governance?Priorities
• Set organization-wide, clear business objectives• Align data needs and governance with the achievement
of these objectives
People• Obtain executive sponsorship• Align operational management• Create cross-functional teams (business and IT)
Process• End-to-end• Data domain mapping, MDM, EDM, Process modeling,
Risk Analysis• Controls, Monitoring, Analytics, Operationalization
Where Do We Go From Here?
Minimize RiskCompliance • Fraud • Error Prevention
Maximize OpportunityNew Customers/Channels • New Revenue Sources • Stopping Leakage
Drive InnovationNew Business Models • Extended Enterprise • Digital Economy/Big Data
Putting It All Together
Questions?