2 T HE L EADER IN IBM I NFORMATION M ANAGEMENT AND B USINESS A
NALYTICS F OCUSED EXCLUSIVELY ON IBM I NFORMATION M ANAGEMENT AND B
USINESS A NALYTICS SOLUTIONS DELIVERED THROUGH 5 PRIMARY PRACTICES
: 1.I NFORMATION M ANAGEMENT S TRATEGY G OVERNANCE AND B USINESS S
TRATEGY 2.M ASTER D ATA M ANAGEMENT A LL MDM SOLUTIONS 3.E
NTERPRISE D ATA I NTEGRATION C ORE I NTEGRATION 4.I NFORMATION Q
UALITY M ANAGEMENT M ETADATA, G OVERNANCE & Q UALITY 5.E
NTERPRISE A NALYTICS P URE D ATA ( N ETEZZA ), C OGNOS, T M 1,
SPSS, B IG D ATA IBM P REMIER P ARTNER S OLUTIONS CONSULTANCY IN E
UROPE BECOMING A PREMIER PARTNER O VER 220 PEOPLE IN THE COMPANY,
ALL FOCUSED ON IBM AND THE DEVELOPMENT AND INTEGRATION OF IBM S
OLUTIONS W ORLDWIDE S ERVICES D ELIVERY O FFSHORE DEVELOPMENT
CENTERS IN I NDIA, C HINA & R USSIA
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3 Agenda 1.Overview for Information Governance, Policies &
Data Quality 2.Business Information Monitor Demonstration
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4 Business Challenges Key Information Challenges Explosion of
electronic information; Increasingly competitive and regulatory
environment; Prohibitively expensive to take a reactive approach to
governance issues; Dramatic growth in the use of electronic
information within business processes requires governance standards
within organisations; Requires new technology solutions that can
fully address governance and the quality of data in an automated
fashion.
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5 Cost to Business of Poor Governance and Data Quality Problem
Marketing, Sales and Customer Service are operating with poor
efficiency, relying on unknown data TDWI says dirty data costs US
based businesses over $600B per year Unknown data quality increases
the cost of operations Unknown data quality increases the cost of
marketing and sales Unknown data quality increases the cost of IT
Poor data quality causes customer churn The business doesnt have
visibility in the state of the data prior to use Taking the time
out of day to day operations to remedy the problem is very
expensive, complicated and time consuming
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6 The Policy - Business Rule & Data Rule - is at the Heart
of Data Governance and Compliance POLICIES Defined by a set of
Business Rules BUSINESS RULES Defined by a set of Data Rules DATA
RULES
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7 Metadata Management Benefits Metadata management refers to
the activities associated with ensuring that meta data is
created/captured at the point of the datas creation and that the
broadest possible portfolio of meta-information is collected,
stored in a repository for use by multiple applications, controlled
to remove inconsistencies and redundancies, and made available to
business analysts and data stewards in an easily consumable manner.
Benefits of Business Information Management Key Activities Creating
and documenting the data definitions for the subject areas entities
and attributes; Identifying the business and architectural
relationships between objects; Certifying the accuracy,
completeness and timeliness of the content; Establishing and
documenting the context of the content (data heritage and lineage);
Providing a range of contextual understanding for an increasingly
diverse range of data users, including trusted data for compliance,
internal controls, and better decision-making; Providing some of
the information a technology professional might need for the
physical implementation.
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8 2. Business Information Monitor & StreamClean Solution
Streams Business Information Monitor delivers significant
advancements in measuring, monitoring and managing your key
business asset, your data. Creates the linkage between data
policies and data rules Provides a near real-time view of the
quality of your information Allows you to investigate problems
before you invest in using the data Provides performance metrics
and information to: help your business to measure, analyze and
ensure accuracy and timeliness for your information uses a well
governed data policy based approach. StreamClean is a turnkey data
remediation solution - fixes the data quality issues identified in
B.I.M.
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9 Benefits of Business Information (metadata) Management
Metadata Management Benefits Business Information (metadata)
Monitor provides the linkage between the business need or desire
(policy) and the information or data value. The effective
management of metadata is one of the essential activities of a data
steward within a governance practice, thus enabling strategic
(stakeholder) policy compliance and access to information. Key
Elements Data Quality Policy Management with IBM Information
Analyzer Data Catalog Policy Management with IBM Business Glossary
Other Elements for 360 Information Governance Data Provenance
Policy Management with IBM Metadata Workbench Data Privacy Policy
Management with IBM Optim Data Masking Data Retention Policy
Management with IBM Optim Lifecycle Management Data Access Policy
Management with IBM Guardium Data Security
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10 Appendices BIM Slide ware
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11 Business Glossary Policies
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12 Business Policy
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13 Policys Data Quality Results
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14 Quality Manager
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15 Quality Manager
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16 Latest BIM Version Using New Cognos Reporting
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17 Thank you For additional information, please contact
[email protected]
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18 APPENDICES
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Architecture
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IBM and ESRI Products Exploratory Server SPSS Statistics SPSS
Modeler ArcGIS Cognos BI StreamClean Quality Service MDM Framework
Stream Media Connector Stream Spatial Binding Integration Framework
PureData System Integration Social Media Analytics Stream Consumer
Analytics Social Intelligence (SSI) SC-360 BigInsights HDFS
MapReduce PIG Text Analytics Stream Solutions and Accelerators Data
from traditional sources Cleaner data increases the accuracy of
customer analytics MDM increases analytical value of data assets
Customer data is piped from your EDW into the Data Mart Consumer
and Market models are created using SPSS Cognos BI generates real-
time mobile dashboards Data Warehouse Raw Social Media Data Esri
provides consumer expenditure measures Big Data is integrated into
your Data Mart Stream goes End-to-End with Big Data 20