Dec 07, 2011 by Jim Harris in Data Governance, Data Management, Data Migration, Data Quality, Master Data Management
Welcome to the unofficial 2011 quarterly review that I have decided to perform on the Data Roundtable. In this four-part series, I will summarize my personal favorite blog posts published on this blog during each calendar quarter of this year.
Part 1 covers blog posts from January, February, and March.
The After-Thought of Data Design — Joyce Norris-Montanari explores why companies often don’t think about the design of the data until after it has been implemented.
F-Identity… — No, Rich Murnane isn’t blogging blue in this post, but instead explains how we need to become “masters of our own identity.”
Communications Gap? Or is there a Gap between Chasms? — David Loshin examines how the challenge of Business-IT communication can be further complicated by business silos.
Are you Building Bridges or Digging Moats? — Jim Harris asks whether you are trying to enable collaboration or encourage separation within your organization.
IT: More Important and Less Strategic — Thomas Redman explains how IT is simultaneously becoming more important and less strategic.
The Limitations of Google — Phil Simon explains how we can not Google our way to in-depth knowledge, experience, and expertise.
What is Your (Anti)-Data Quality Manifesto? — Dylan Jones examines the inconvenient truths seemingly used by many to remain blissfully ignorant of the importance of data quality.
The Hubbub About MDM Hubs: An Introduction — Joyce Norris-Montanari begins a series examining different MDM implementation approaches.
Relationships Trump Data, For Now… — Rich Murnane explains how relationships trump almost all other things in business, especially data.
The Data Quality Scorecard – Contrarian View — David Loshin asks why we allocate resources to build data quality scorecards when they are often only useful in limited remediation scenarios.
Groundhog Data Quality Day — Jim Harris explains how sometimes when you’re suffering from poor data quality, it can feel like you’re having the worst data management day, over and over again.
When are Data Assets? — Thomas Redman examines the ways that organizations and people manage things they consider assets — and if we should apply those ways to data.
The Voice of Data — Phil Simon ponders whether or not organizations are listening to their data, as well as the voices of the people behind their data.
Data Migration Myths and Legends — Dylan Jones explores five myths that can undermine the business success of data migration efforts.
Episode 2: Knights of the Data Roundtable — Co-authors Dalton Cervo and Mark Allen discuss their book Master Data Management in Practice: Achieving True Customer MDM.
Is MDM for Everyone? — Joyce Norris-Montanari ponders whether every organization needs MDM.
Completeness is a Two-Way Street… — Rich Murnane explores the breadth and depth of the completeness dimension of data quality.
More Telephone Talk: Ambiguity, Obsolete Terms and Ghosts — David Loshin ponders the obsolete terminology lurking inside your data models.
Sharing Data — Jim Harris ponders the value of sharing data with the rest of your organization.
Trusted Measurement Stems from Solid Process — Thomas Redman explains some of the watchwords of state-of-the-art measurement capabilities.
Negative Space, Miles Davis, and Data Quality — Phil Simon examines the pernicious effects of the lack of the technological equivalent to negative space in many large organizations.
What Happens in Vegas … Is Disruptive Change — Jill Dyché explains how her favorite clients not only embrace change, they kiss it on the lips.
Accuracy is Not an Annual Event — Dylan Jones explains that data accuracy is a perpetual function, not a one-off event.
Episode 4: Knights of the Data Roundtable — In a surprisingly funny discussion, Brian Rosenberg explains procurement-related data management challenges.
On behalf of all the contributors to the Data Roundtable, thank you for reading and commenting on the posts published on this blog throughout the year. Your readership is deeply appreciated.
Next week, Part 2 of this series will cover blog posts from April, May, and June.