| Title |
Popularity * |
Date |
Is the SDLC Relevant to Data-Centric Projects?
Summary
There has been a shift from a process-centric view in application development to a data-centric view. Because so much has changed since the SDLC originated, does it really apply to what is being done today?
Topics: Information Management, Data Management
by Malcolm Chisholm | 0 comments |
     |
04-08-2010 |
Why Venn Diagrams Don't Work for Data
Summary
Malcolm Chisholm explains why we need to find techniques that are oriented specifically to data rather than borrowed from other areas of human experience.
Topics: Information Management, Master Data Management (MDM), Data Management
by Malcolm Chisholm | 0 comments |
|
02-06-2010 |
Definitions in Information Management
Summary
Although there is a superficial appreciation of the importance of definitions, too few practical approaches have yet been created to use them effectively in data management.
Topics: Information Management, Data Modeling and Design, Data Governance
by Malcolm Chisholm | 0 comments |
|
05-05-2010 |
Reflections on Identity and Master Data Management
Summary
Identity is one particular problem in master data management (MDM). Actually, it is one of the key problems that MDM is trying to solve. But just what is identity, and why is it so difficult?
Topics: Information Management, Master Data Management (MDM)
by Malcolm Chisholm | 0 comments |
|
07-04-2010 |
Analysis and Amnesia in IT
Summary
With fewer business processes to automate, surely we should need fewer analysts than we have in the past. What exactly are they analyzing these days?
Topics: Business Intelligence, Data Modeling and Design, Analytics
by Malcolm Chisholm | 0 comments |
|
03-02-2010 |
The Data Audit Imperative
Summary
All data managers need to begin thinking in earnest about data auditing.
Topics: Data Warehousing, Data Modeling and Design, Business Rules, Enterprise Information Management (EIM)
by Malcolm Chisholm | 0 comments |
|
02-12-2009 |
Master Data Management and the Challenge of Reality
Summary
Malcolm Chisholm reminds us that records cannot be created in the absence of governance with the expectation that they
can be matched up later.
Topics: Data Warehousing, Master Data Management (MDM)
by Malcolm Chisholm | 0 comments |
|
07-10-2009 |
Introducing Principles-Based Data Governance
Summary
A principles-based data governance approach will seek to replace poor existing principles with better ones and empower stakeholders to implement them without prescribing how it should be done.
Malcolm Chisholm explains how this will avoid creating bureaucratic overhead and give the enterprise a reasonable way to implement effective data governance.
Topics: Information Management, Data Quality, Data Governance, Information Quality (IQ)
by Malcolm Chisholm | 0 comments |
|
01-07-2009 |
Rethinking Definition
Summary
Malcolm Chisholm explains that acknowledging definitions have to be captured rather than gathered, and that they can be continuously improved, will make them more valuable to the enterprise over
time.
Topics: Information Management, Data Quality, Data Governance, Information Quality (IQ)
by Malcolm Chisholm | 0 comments |
|
06-05-2009 |
A Brief Review of Indicator and Flag Columns
Summary
Indicators and flags seem to be often passed over as rather simple, but they are worth thinking about. Because not a lot is written about indicator columns, Malcolm Chisholm shares his personal view
of them based on his experience.
Topics: Information Management, Data Quality, Data Governance, Information Quality (IQ)
by Malcolm Chisholm | 0 comments |
|
07-01-2009 |
The Top 10 Data Modeling Endless Debates of All Time
Summary
Is there just one data model to solve a problem? Why are data models such a tough sell to the enterprise? These questions, among others, surface in Malcolm Chisholm's list of the top ten data
modeling endless debates of all time.
Topics: Information Management, Data Quality, Data Governance, Information Quality (IQ)
by Malcolm Chisholm | 0 comments |
|
03-12-2008 |
The Record: An Item of Master Data
Summary
Managing records represents a major challenge for enterprise information management, but it is one that must be faced.
Topics: Information Management, Data Quality, Data Governance, Information Quality (IQ)
by Malcolm Chisholm | 0 comments |
|
03-09-2008 |
Six Architectural Styles of Data Hubs
Summary
What exactly do data hubs offer? The answer to that really depends on the type of hub being considered. This article briefly review six common styles of hub from the perspective of their
architectures.
Topics: Information Management, Data Quality, Data Governance, Information Quality (IQ)
by Malcolm Chisholm | 0 comments |
|
06-08-2008 |
Normalizing Reference Data
Summary
Many databases are created in third, or a higher, normal form only to be populated with reference data that is chaotic and self-evidently nonstandard. This can have a profound negative impact that
offsets the main advantage of a normalized database design
Topics: Information Management, Metadata
by Malcolm Chisholm | 0 comments |
|
09-07-2008 |
Business Intelligence Problems and the Abstraction-Translation Paradigm
Summary
Enterprise information architecture is complex and consists of many different perspectives, each of which is valid in its own right. Unfortunately, no single perspective corresponds to the complete
reality of architecture.
Topics: Business Intelligence, Enterprise Application Integration (EAI), Enterprise Information Integration (EII), Operational Business Intelligence, Enterprise Information Management (EIM)
by Malcolm Chisholm | 0 comments |
|
04-06-2008 |
Twitter
LinkedIn
YouTube