Dec 05, 2012 by Jim Harris in Data Governance, Data Integration, Data Migration, Data Quality, Master Data Management
Welcome to the unofficial 2012 quarterly review that I have decided to perform on the Data Roundtable. In this four-part series, I will select and summarize my favorite posts published on this blog during each quarter of this year, selecting one post per contributor per month.
Part 1 covers blog posts from January, February and March.
Ain’t No Data Like My Data! — Joyce Norris-Montanari shares her holiday chocolates and the insights from four of DataFlux’s data-related sayings.
Open Data – A Real Life Example — Rich Murnane provides an example of leveraging open data by explaining his use of OpenFlights.org’s airport database.
Data Governance and Data Quality Events — David Loshin describes two types of events that can lead to an inaccuracy or inconsistency in your data sets.
Why Can’t We Predict the Weather? — Jim Harris explains how continuous improvement can enable better decisions with better data and reliably forecast better business performance.
Developing People — Thomas Redman describes a four-level competency model for developing more skilled people capable of defining and executing comprehensive data quality programs.
On Kahneman and Data Quality — Phil Simon explains, with help from Daniel Kahneman, that we are much better at recognizing errors in other people and systems than our own.
Corporate Politics in 2012 — Jill Dyché turns to eastern philosophy before the next office smackdown, going beyond Sun Tzu and seeking help with corporate politics from Lao Tzu.
The Most Powerful Data Quality Tool on the Market — Dylan Jones reveals how the most important weapon that you can add to your data quality arsenal isn’t a technology.
Facing Maturity – Effective Change — As part of her Facing Maturity series, Joyce Norris-Montanari discusses socializing changes within organizations.
Data Quality is Traveling — Rich Murnane discusses how the travel industry is beginning to make the shift to data-driven decision making and data quality.
Extending Data Beyond the Database – The Notion of “State” — David Loshin discusses the challenge of merging static data sets with dynamic data sets.
Choosing Your First Master Data Domain — In this video post, Jim Harris debates, with himself, which master data domain should be chosen when beginning a new master data management program.
Poor Data Quality and Management — Thomas Redman discusses how the impacts of bad data on management go way beyond decision making.
Dator on Data Governance — As part of his Dator series, Phil Simon examines aspects of imbuing a culture of data governance into organizations.
A Data Quality Plea for Leaders — Dylan Jones explains how leaders sitting on the fence over data quality shouldn’t wait for a negative event to force them to take action.
Governing Data Governance — Joyce Norris-Montanari lists some requirements for data governance committees, including data ownership, data security and data stewardship.
The “Year of the Data” — Rich Murnane predicts that 2012 will not be the Year of the Dragon (sorry, Chinese Astrology), but instead that 2012 will be the Year of Data.
Privacy Contagion and Privacy Control — David Loshin discusses the inadvertent data privacy violations that can be caused by matching data sets with varying privacy levels.
The Dark Side of the Mood — Jim Harris discusses the impact of negativity bias on sentiment analysis, resulting in hearing only negative feedback from customers about your products and services.
I Don’t Trust Your Data — As part of his Poor Data Quality series, Thomas Redman re-tells a few stories involving organizational disagreements over data.
Data Quality: Does Your CXO Have Any Skin in the Game? — Phil Simon cautions against exempting executives from the consequences of their data quality related decisions.
Memo from the CEO: Announcing Data Governance Workgroups! — Jill Dyché humorously re-publishes one executive’s plans to kick-start data governance.
Are We Creating Silos of Expertise? — Dylan Jones ponders the possibility of too much fragmentation within the disciplines of information management and its impact on data quality.
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.