Barriers to Information Instructor: Pankaj Mehra Teaching Assistant: Raghav Gautam Lec. 3 April 6, 2010 ISM 158.

Barriers to Information

Instructor: Pankaj MehraTeaching Assistant: Raghav Gautam

Lec. 3April 6, 2010

ISM 158

Reading Assignment (for April 6)

• Review Chapters 2 & 3 (Overcoming the failures and Three opportunity areas) from CapGemini’s The Information Opportunity report (2008)

• Think about:– What are some dimensions of information quality?– How can lack of trust be an issue in making better

use of information?– What sort of policies, procedures and mechanisms

would enable information sharing among business silos toward a single view of customer?

Compare and ContrastApplication-centric view (ca. 2007)

Information-centric view (ca. 2009)

People

Process

Information

Technology

From SOA Practitioner’s Guide pt. 2

Barriers to exploiting information

Info

rmat

ion q

uality

Info

rmat

ion sy

stem

s

Policie

s & p

roce

dure

s

Info

rmat

ion se

curit

y

Staff

skills

& tr

aining

User c

ultur

e

Busine

ss p

roce

sses

Lead

ersh

ip

Lack

of t

rust

Roles

& resp

onsib

ilities

Info

sha

ring

stan

dard

s0%5%

10%15%20%25%30%35%40%

What is Information Quality

• A measure of how well information satisfies the needs of its consumers

• Suitable definition of IQ measures requires agreement betw. business & IT

• Achieving good IQ requires not only bottom-up investment in systems but also top-down investment in policies and procedures

IQ dimensions & metrics

To judge this, …• Accuracy• Completeness• Reliability• Availability• Timeliness / freshness• Consistency• Uniqueness

Measure/model this• Precision of answers• Recall of answers• Probability of error/failure• Uptime and downtime• Latency• Constraints• Redundancy

7

Systems Integration and Data Quality Technology: Maturity Model by Gartner’s Newman

• Prolific use of custom code

• Lack of general-purpose tools

• Too many technologies

• Lack of strategic deployment

Custom Code

ETL

EIICleansing

ProfilingMetadata

EAI

• Custom code remained

• Some vendor consolidation around related tools

• Common cleansing services

Custom Code

EAI

Cleansing

Profiling

MetadataETL EII

• Custom code minimized

• Comprehensive integration tools

• Metadata centricity

• Strategic approach

EAI

ETL EII

Cleansing

ProfilingM

etadata

Custom Code

Metadata

• No custom code• Converged

information infrastructure

• Service-orientation• Strategic

deployments

Transform

Deliver

Govern

Access

2007!

Case Studies

Courtesy: Information Quality Workgroup, Mark Temple-Raston

Service Canada Information Quality Review and ActivitiesIQ Working Group

Andrew John BystrzyckiInformation Architecture Services

ATS, IITB, Service Canada

March 22, 2007

12

Service Canada: who we are

Service Canada (the service wing of HRSDC) has the largest Government of Canada service delivery network, with coverage and capacity across Canada

Serving 32 million Canadians per year over 500 points of service Delivers key national programs, including Employment Insurance, Canada Pension

Plan and Old Age Security Paying more than $70 Billion in benefits to Canadians annually Employing over 22,000 staff History of our IM/IT environment:

Service Canada was formed from many mergers of many programs resulting in heterogeneous operational IM/IT environments and numerous fragmented systems and databases impacting information quality

Data / Information: Information stays operationally alive for many years throughout the client’s lifecycle

events: birth, school, work, sickness, disability, maternity/paternity, volunteer, unemployed, homeless, retired, low-income pensioner, death

Numerous initiatives are underway to improve IT readiness, processes, Information Management in general and Information Quality in particular

13

Information Quality Issues

Inconsistent data quality assessment processes Issues of conformity in terminology, metadata, naming, formats, etc. Issues of inconsistency in data values Some concerns about data correctness Data dictionary divide between legacy systems and new databases Issues of missing or incomplete data Issues in data validation Issues in data synchronization Issues in data integration or consolidation

14

Service Canada Information Quality Vision

IQ Vision:

Improve the quality of client and benefit information to enable information synchronization and consolidation and to demonstrate accountability, transparency, effectiveness and efficiency in service delivery

IQ Goal and the Business Imperative:

Improvement in information quality and consolidation will enable us to become part of international trend towards one-stop process to government services

IQ is essential for the service delivery side as well as for the policy side

15

Service Canada IQ Initiatives

Government of Canada Data Stewardship Initiative: A partnership between Treasury Board of Canada Secretariat, Canada Revenue Agency,

Service Canada and other dept’s for the formulation of a Data Stewardship methodology As part of its major transformation project, Service Canada will be implementing some portions of

the methodology which include information quality Data Stewardship is defined as the act or process of ensuring that corporate data is managed as

an asset, according to accepted practices through its lifecycle. As a necessary component of IM, data stewardship helps achieve inter-operability, improve data quality, and increase both data sharing and semantic understanding.

Data Quality Processes:• Data lifecycle management• Data capture, validity and integrity• Data audit

IQ Factors:• Data Quality readiness Assessment: The extent to which processes for ensuring data / information

are accurate, consistent, complete and current• IQ Problem Handling: The status of data / information quality incident reporting, analysis, problem

handling and resolution• Costing of IQ: The use of IM financial management to establish the true cost of non-quality data

within the enterprise• IQ Improvement Actions: The processes in place to leverage best practices and adopt and promote

a culture of continuous improvement

16

Service Canada IQ Initiatives (Cont’d)

Service Canada One Client View: The One Client View initiative is a multi-year initiative that will enable timely

access to the complete set of client information that is required for the delivery of seamless citizen-centered service to Canadians citizens and businesses. One major component of OCV is accurate, timely, non-redundant and secure information.

Service Canada Integrity and Operational Risk Management Project: An initiative to establish a national risk management program for proactive, risk

based service delivery. This initiative is based on analyzing existing data, assessing the data quality and pointing out the challenges and opportunities for improving data quality at two levels: 1) at the origin of data and 2) at the data mart level using ECTL - Extract, Cleanse, Transform and Load

Other Service Canada IM current and future initiatives Corporate Client Data Model Corporate data dictionary using the CASE tool the Oracle Designer Corporate data management process for using standard structure and data

content for code/reference tables Corporate naming conventions for OLTP, Data Warehouse and Data Mart systems Address validation software like Street Perfect Corporate strategy for ECM – Enterprise Content Management (future initiative)

In the next lecture …

• Meet MDM, a key element of enterprise information management

Questions?

•

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