AWS Big Data

APRIL 19, 2023

Background The success of a data-driven organization recognizes data as a key enabler to increase and sustain innovation. The goal of a data product is to solve the long-standing issue of data silos and data quality. This solution solves the interoperability and linkage problem for data products.

Technology 85

Technology Data-driven Machine Learning Sales 85

Data Virtualization

AUGUST 4, 2022

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of.

Data Strategy 52

Data Strategy Data Integration Strategy Management 52

TDAN

JULY 20, 2021

I believe that my strongest articles and columns come from opportunities to work with great companies and organization. A long-time client recently told me that, for their data and […]. Of course, I cannot mention their names. But there is a strong possibility that you may have some of the same opportunities in front of you.

Data Quality 102

Data Quality Data Governance Metadata Data Strategy 102

TDAN

MARCH 16, 2021

The purpose of this article is to provide a model to conduct a self-assessment of your organization’s data environment when preparing to build your Data Governance program. Take the […].

Data Governance 105

Data Governance Testing Modeling Data Quality 105

TDAN

MARCH 17, 2020

Business has a fundamental problem with data quality. In some places it’s merely painful, in others it’s nearly catastrophic. Why is the problem so pervasive? Why does it never seem to get fixed? I believe we’ve been thinking about the problem wrong. It’s time for a fresh look.

Data Quality 59

Data Quality Data Architecture IT Metadata 59

TDAN

MARCH 17, 2020

Data wellness obviously means a lot to me. This article starts with something that is “going on” with […]. David Crosby, of super group fame with Stills, Nash and Young, once said that you have to write about something that goes on in your life if you want to write something that means something to you.

Data Quality 76

Data Quality Data Governance Metadata Data Strategy 76

TDAN

NOVEMBER 3, 2020

In the September issue of TDAN.com, Anthony Algmin denounced Data Catalogs as a “1980’s solution to a 2020’s problem.” What is the state of data science today? As I state in my book, The Data Catalog: Sherlock Holmes Sleuthing for Data Analytics and in many articles, 80% (or more) of a data analyst’s […].

Data Science 59

Data Science Data Analytics Analytics Data Quality 59

TDAN

FEBRUARY 4, 2020

Back in 2017, I wrote an article titled There are No Facts … Without Data. The overwhelmingly positive response to that article validated for me that most people believed my premise to be true. It is time to revisit that topic. I was very thankful to see that. In this anti-fact world (watch cable news […].

Data Quality 59

Data Quality IT Data Governance Metadata 59

TDAN

JANUARY 18, 2022

Imagine what it would be like if your data was perfect. By perfect I mean fit for use and high quality. By perfect I mean that the people in your organization have confidence in the data to use it for effective decision making and to focus on building efficiency and effectiveness through data into your […].

Data Quality 145

Data Quality IT Data Governance Metadata 145

TDAN

FEBRUARY 16, 2022

No, this is not a mistyping of data literacy. Yes, like everyone, I am aware of and fully on-board with the growing movement to improve data literacy in the enterprise. What I want to talk about is Data Littering, which is something else entirely.

Enterprise 145

Enterprise Data Quality Data Governance Metadata 145

TDAN

SEPTEMBER 14, 2021

A recent experience brought home to me the critical importance of good quality data in even the simplest of processes, particularly as processes become more automated and data driven. Before I went on vacation last month, a new team member joined Castlebridge.

Data-driven 123

Data-driven Data Quality Metadata Data Strategy 123

TDAN

JUNE 30, 2020

You may already have a formal Data Governance program in place. Or … you are presently going through the process of trying to convince your Senior Leadership or stakeholders that a formal Data Governance program is necessary. Maybe you are going through the process of convincing the stakeholders that Data […].

Data Governance 145

Data Governance Data Quality Metadata Data Strategy 145

TDAN

JUNE 21, 2022

Twenty-five years ago today, I published the first issue of The Data Administration Newsletter. It only took a few months to recognize that there was an audience for an “online” publication focused on data administration. […].

Publishing 78

Publishing Data Quality Data Architecture IT 78

TDAN

AUGUST 15, 2023

Yes, let’s talk about data governance, that thing we love to hate. I just attended the 17th Annual Chief Data Officer and Information Quality Symposium in July, and there, I heard many creative suggestions for renaming data governance.

Data Governance 52

Data Governance Data Enablement Data Quality IT 52

TDAN

NOVEMBER 15, 2022

Almost every child knows about the cute search-and-find Waldo with the red-striped shirt and cap hidden in the crowd. But something you may not know is that there was another much earlier Waldo. It was an early robotic device that let a human remotely operate mechanical hands in a sealed chamber. It was first used […].

IT 52

IT Data Quality Data Governance Metadata 52

TDAN

DECEMBER 15, 2020

Weinberg’s Second Law: If builders built buildings the way programmers wrote programs, then the first woodpecker that came along would destroy civilization.[1] 1] Introduction Opportunity While most people don’t think about it very often, common language is essential to day-in, day-out commerce.

Data Quality 83

Data Quality IT Metadata Data Strategy 83

TDAN

OCTOBER 5, 2022

Governance for Acquired Data / Selecting Sources Our next column in the series explores challenges with governing acquired data, and then we’ll introduce a framework for managing acquired data— the data acquisition lifecycle.

Management 52

Management Data Quality Data Governance Metadata 52

TDAN

SEPTEMBER 7, 2022

We are living in a world mapped by data points. Every customer and every opportunity are a combination of unique data points. Harnessing this data can transform your business potential to an […]. Technology is making it easier and easier to run a business, but sometimes you must step back and look at the big picture.

Management 52

Management Technology Data Quality IT 52

TDAN

MAY 5, 2020

The reversal from information scarcity to information abundance and the shift from the primacy of entities to the primacy of interactions has resulted in an increased burden for the data involved in those interactions to be trustworthy.

Data Governance 101

Data Governance Management Interactive Data Quality 101

TDAN

AUGUST 2, 2022

The time wasted spent collecting and validating data can approach 80% of the total effort for managing data. This estimate was shared by several speakers at the DGIQ 2022 conference in San Diego. We had previously estimated this “waste tax” to be in the 20-30% range. No matter what the actual numbers bear out, this […].

Management 52

Management Data Quality Metadata Data Governance 52

TDAN

APRIL 19, 2022

Top Down vs. Bottom Up Have you heard the terms “top-down” or “bottom-up” associated with approaches to Data Governance? If so, do you think top down is the only way to execute your Data Governance Program?

Data Governance 52

Data Governance Data-driven Data Quality Metadata 52

TDAN

JULY 19, 2022

It is all in the data. What does your head do when someone uses the expression “same difference”? Mine explodes! Does it mean things are the same? Does it mean there is a difference? Please don’t use that expression. It is very confusing. Word on the street (my clients included) is that there is significant […].

Data Governance 52

Data Governance Management IT Data Quality 52

TDAN

JULY 5, 2022

Few organizations have all the technical and functional data stewards in place to handle the ever-increasing data-related questions and requests. Therefore, a search for new data stewards is probably always happening. This blog post will discuss how you can get data stewardship acceptance by an individual.

Data Quality 52

Data Quality Data Governance Metadata Data Strategy 52

TDAN

MARCH 3, 2020

This is surely the case with the “new” products that call themselves data catalogs. But before talking about the rise of the data catalog, I will take […]. If you have been around the IT industry for as long as I have, you have seen technologies and ideas come and go—and sometimes even come back again.

Technology 78

Technology Data Quality IT Metadata 78

TDAN

FEBRUARY 17, 2021

Welcome to the DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for people interested in learning about data administration and data management disciplines and best practices. Announcements and News DAMA International and Local Chapter members!

Management 64

Management Data Quality Metadata Data Strategy 64

TDAN

APRIL 16, 2019

The secret lies with Data Governance. The Chief Data Officer (or whoever the Data Czar is at your organization) needs to get past, and I mean way past, the “Why is Data Governance important?” or “Why do we need Data Governance?” questions if they are ever going to be successful czar-ing the data.

Data Governance 84

Data Governance Data Quality Metadata Data Strategy 84

TDAN

MAY 18, 2021

Welcome to DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for people interested in learning about data administration and data management disciplines and best practices.

Management 52

Management Data Quality Metadata Data Strategy 52

TDAN

MARCH 31, 2020

Neil Young waxed poetically when he proclaimed that “It’s better to burn out than it is to rust” in his 1987 rock and roll anthems “My, My, Hey, Hey” and its alter-ego, “Hey, Hey, My, My.” On the surface, the statement may seem to tell us that “rock-and-roll is here to stay.” At second or […].

IT 64

IT Data Quality Data Governance Metadata 64

TDAN

APRIL 30, 2019

Roles and responsibilities are the backbone of a successful information or data governance program. To operate an efficient and effective program and hold people formally accountable for doing the “right” thing at the “right” time, it requires the definition and deployment of roles that are appropriate for the culture of the organization.

Data Governance 79

Data Governance Data Quality IT Metadata 79

TDAN

SEPTEMBER 3, 2019

Organizations faced with the delivery of formal Data Governance or Information Governance programs recognize that there are several challenges they will face when getting started and as the program is operationalized. The challenges are not the same for all organizations.

Data Governance 72

Data Governance Data Quality Metadata Data Strategy 72

TDAN

JANUARY 14, 2020

The stories you hear on the news often mention how this person or that person was battling their demons. Alcoholism, drug addiction, compulsive behaviors like gambling … Demons take many forms. Demons almost never result in good things happening. The word “demon” does not describe something that inspires you to do something good – and […].

Data Quality 64

Data Quality Data Governance Metadata Data Strategy 64

TDAN

JULY 2, 2019

The third and final part of the Non-Invasive Data Governance Framework details the breakdown of components by level, providing considerations for what must be included at the intersections. The squares are completed with nouns and verbs that provide direction for meaningful discussions about how the program will be set up and operate.

Data Governance 74

Data Governance Data Quality Data Architecture Metadata 74

TDAN

JANUARY 19, 2021

It’s been a while since I’ve written about the goals and objectives of an Enterprise Data Management (EDM) Program and how organizations achieve and sustain significant improvements in fundamental data management disciplines in their journey to Great Data. In this series of columns, we’re going to explore “What Good Looks Like.”

Enterprise 52

Enterprise Strategy Management Data Quality 52

TDAN

APRIL 2, 2019

If you are just starting out and feel overwhelmed by all the various definitions, explanations, and interpretations of data governance, don’t be alarmed. Even well-seasoned data governance veterans can struggle with the definition and explanation of what they do day to day.

Data Governance 72

Data Governance Data Quality Metadata Data Strategy 72

TDAN

OCTOBER 6, 2020

What happens when people who should be accountable for producing quality data as part of their job make it clear that they want nothing to do with producing data? What happens when the data they should produce is important in improving […].

Data Quality 52

Data Quality IT Data Governance Data Strategy 52

TDAN

MAY 14, 2019

To own data or not to own data, that is the question. This question comes up often when I am speaking with clients or groups of people during my Data Governance webinars and conference presentations. To the disgust of some (there are some that choke every time the term “data owner” is used) using the […].

Data Governance 51

Data Governance Data Quality Metadata Data Strategy 51

TDAN

APRIL 2, 2019

Enterprises today are focused on ensuring robust data governance, and are exploring different tools and approaches to support their efforts. Some organizations know exactly what they need, while others can be overwhelmed or confused by all the different solutions out there that claim to support data governance.

Data Governance 45

Data Governance Enterprise Data Quality Metadata 45