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Data Governance Conference
Governance
Solutions Sessions
The Future of Data Governance: Business Rules Monitoring and Your
Compliance Initiatives
Brian McVay
Sr. Solutions Engineer
DataFlux
Each year, organizations worldwide face an ever-growing number of
compliance requirements. These initiatives - which arrive from external
or internal compliance pressures - require companies to develop
and maintain high levels of data quality and data integrity.
This presentation will give participants an overview of:
· The technologies available to improve compliance initiatives
· The emergence of business rules monitoring within data
governance efforts
· How the enforcement of business rules impact compliance
efforts
Exeros
DataMapper®: Data-Driven Discovery for Governance
Todd Goldman
VP Marketing
Exeros
In this presentation you'll see Exeros DataMapper® 3.0, the
latest version of Exeros' automated data discovery solution, in
action. DataMapper automates the discovery of forgotten business
rules and data lineage, hidden sensitive data, and unknown data
inconsistencies. DataMapper presents significant cost, time and
speed advantages to enterprises undertaking data governance, integration
and compliance initiatives.
Learn how the following Exeros customers made it happen:
· A credit card company had to discover sensitive data elements
and its lineage across 1700 structured data sources
· An asset management firm needed to eliminate errors in
stock purchases caused by data inconsistencies
· A top US insurance company was required by HIPAA to de-identify
all of their data sent overseas for test and development
· A financial services company wanted to consolidate 50 databases
into a single product master
TITAN
Archive: Retaining Data for Its Legal Life
Tim Snow
Software Consultant
NEON Enterprise Software Inc. (NESI)
Required data retention periods have ballooned from months or years
to decades. This, coupled with the rapid rise in data volumes and
the importance of providing archived data on demand many years after
it is created, means companies have to begin build solid practices
for archiving data from operational databases. The presentation
reviews the requirements for archiving data and how you can use
TITAN Archive to easily meet those requirements.
The Foundation of Data Governance: Master
Data Management
Ken Hoang
Founder and CTO
Siperian
Master Data Management (MDM) is now on the radar of Data Governance
Councils as the technology foundation on which to build solid Data
Governance policy, process, audit, and controls.
During this session participants will learn:
· How MDM forms the foundation for Data Governance
· Key issues to address before you jumpstart your Data Governance
efforts
· Five key requirements of an MDM platform to support your
Data Governance efforts
Adaptive Metadata Manager - A Repository
Solution for Data Governance and Data Mastery
James Cerrato
Adaptive
&
Jojy Mathew
Swingtide
This presentation will show how the Adaptive Metadata Manager repository
enables data governance policies and processes to be automated and
enforced across a complex enterprise. The Adaptive Metadata Manager
capabilities for metadata harvesting, role-based access, data lineage,
impact analysis and data stewardship workflow will be presented.
A solution to these common problems will be explained:
· Do you manage your metadata by cobbling together modeling
tools, home-grown databases and spreadsheets?
· Is it almost impossible to keep metadata manually in synch
across multiple tools and sources?
· Is it a pain to get an end-to-end view across multiple
tools (database, logical model, ETL, Reporting) for traceability,
lineage, and impact analysis?
In addition our partner Swingtide will present how they are using
Adaptive Metadata Manager as the central data dictionary for a Data
Mastery solution. Topics covered will include:
· The Information Strategy Imperative - business & technical
challenges
· Business Dictionary - The glue linking business & IT
· Linking the Information Enterprise - process, services,
data, models to derive value
· Standards-based Repository as the catalyst for reengineering
& deriving business value
· Process model & methodology for Information Mastery
Simplify and Consolidate: A Business Planner's Guide to Governing
Large Data Landscapes
Arka Mukherjee, Ph.D.
Global IDs
IT
Managers often face a contradiction while governing their information
infrastructure. On one hand, the complexity of corporate data environments
is increasing relentlessly every year. On the other hand, executive
management expects IT to provide more business functionality, while
decreasing costs. So what to do?
Data
Governance can provide a systematic way to identify opportunities
to reduce cost. Because Data Governance initiatives are inherently
broad in their perspective, it is possible to adopt a "cross-silo"
view of the information environment. From this view, one can identify
areas of redundancy in data, applications, infrastructures and maintenance.
In this presentation, Mr. Mukherjee, will describe a systematic
approach to simplify and consolidate enterprise data environments,
thereby using Data Governance projects to support cost reduction
initiatives.
The Mathematics Behind a Data Governance
Program
Christina Rouse
National Practice Director, Business Intelligence
SilverTrain, Inc.
A Data Governance Program is not just a collection of ad-hoc data
quality projects. It is the development and integration of a set
of policies, business rules and quality targets all reliant on a
mathematical backbone. In this session presented by Christina Rouse
of SilverTrain, attendees will learn how to define and identify
data governance program success indicators, identify necessary data
quality measurements, how to perform data sample extractions and
the mathematics behind monitoring data quality. The session will
move beyond theory into the mathematical details required for a
successful governance program.
Data Governance Tool-Kit: Tools
& Technology for Various Roles and Personas
Michael P. Moran
Senior Product Marketing Manager
and
Michelle Blackmer
Product Manager
Initiate Systems, Inc.
Many
organizations offer "industrial-strength" data governance
solutions. But contrary to popular belief, one-size does not fit
all. Hear from Initiate Systems, the leader in customer-centric
master data management (MDM), about their ground-breaking concept
of "persona-driven" data governance.
This
presentation will give participants an overview of:
· The importance of a data governance framework for ongoing
success
· Data governance as a common success theme among Initiate
customers
· The concept of "persona-driven" data governance
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