| Data
Management
Transforming data into a corporate
asset
Metadata. Data quality. Data integration.
Data modeling. Data privacy. Data access. Internal data.
External data. Analytical data. Operational data. More and
more data. Is it a business issue or an IT issue? Is it
a skill or a process? Can you simply install a “data
management” tool and fix the problem? How do you get
your arms around all that data?
Baseline defines data management as the tasks
necessary to manage data, including overseeing its quality,
lineage, usage, and deployment across systems, organizations,
and user communities. This means the processes, skills,
and supporting tool sets that make data management an enterprise-level
effort.
» The
Baseline Viewpoint
» Your Value
» Best Practices
Data
Management Maturity Model
The
Baseline Viewpoint
A comprehensive business service
spanning organizations, processes, and technologies
We envision data management as a business
function. We see smart companies moving data management
beyond its historical home within the data warehouse program
and repositioning it as an enterprise-wide service to all
business units and all technical systems and applications.
Because we understand the complexity of data
management, we can help you identify and implement the tactics
necessary to treat data as a corporate asset. Baseline’s
consulting services transcend data quality tools and cleansing
routines to help you formalize data management at the process
and organizational levels.
At a management level, we help you define
a data governance framework, set up organizational structures,
and communicate job roles such as data stewardship. We help
you cost justify investment in the data infrastructure.
We help you align business and IT functions to support expanding
data management processes as the shared data resource scales.
At the practitioner level, we help you establish
a set of data management processes that define data, enforce
policies, and correct data at the source. These include
major functions such as data requirements, data administration,
metadata management, data quality, and data privacy and
security. And, yes, we help you evaluate the best architectural
alternatives for data integration and implement the tools
which fit your needs.
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Your
Value
Data – defined, owned,
protected, and quantified – is a bona-fide corporate
asset
Baseline helps you implement data management
best practices as a strategic component of your enterprise
information strategy. When you manage data as a bona-fide
corporate asset – defined, owned, protected, and quantified
by value – the quality, availability, and integrity
of your data improve across the enterprise. IT can eliminate
the repetitious tasks of data conversion, cleansing, standardization,
and storage for every project. You derive significant business
improvements as the speed of application delivery accelerates
and corporate agility increases.
Benefits
from Good Master Data
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Best
Practices
Baseline identifies best practices through
client engagements and participation in leading industry
associations, like The Data Warehousing Institute (TDWI).
Best practices for data management include:
- Own, protect, and manage data like
any other valuable corporate asset.
- Approach data management as a business,
not an IT, function.
- Use the data management function to
establish common business terminology across the enterprise.
- Give the data management function accountability
for the logical data model and integrated metadata resource.
- Assign data stewards and business analysts
to enable new information requirements.
- Give the data management function responsibility
for enforcing enterprise information policies at the direction
of a cross-functional executive data governance body.
- Profile the shared data resource regularly
for quality anomalies.
- Trap errors and divert data to a suspense
file until corrected in the source by the system data
steward.
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