Transforming Your Operations Presented By: Mark Johnston, Product Adoption Manager The Role of Data Governance August 13, 2014.

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?