TDAN

JUNE 18, 2019

Is your organization struggling to succeed with your Data Governance program? Is adoption by the business an issue for you? Data Governance occurs best when done in conjunction with the business processes and not as a “bolt on”/additional activity.

Data Governance 56

Data Governance Metadata Data Strategy Business Intelligence 56

TDAN

JANUARY 14, 2020

Recording requirements for success is an important first step toward demonstrating the value of a Data Governance program. Practitioners know that Data Governance requires planning, resources, money and time and that several of these objects are in short supply.

Data Governance 89

Data Governance Metadata Data Strategy Business Intelligence 89

TDAN

APRIL 30, 2019

Roles and responsibilities are the backbone of a successful information or data governance program. To communicate effectively […].

Data Governance 79

Data Governance Data Quality IT Metadata 79

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

DECEMBER 20, 2022

Over the past few months, my team in Castlebridge and I have been working with clients delivering training to business and IT teams on data management skills like data governance, data quality management, data modelling, and metadata management.

Metadata 52

Metadata Data Governance Data Quality Management 52

TDAN

DECEMBER 31, 2019

The Nonverbal Dilemma Nonverbal communication is composed of body gestures and vocal inflections. The words you speak are a small fraction of communication. In a 1971 book titled, “Silent Messages,” by Albert Mehrabian, the combination of non-verbal and spoken words is referred to as the 7%-38%-55% rule (source). Think of it this way.

Metadata 59

Metadata IT Data Governance Business Intelligence 59

datapine

SEPTEMBER 29, 2022

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose.

Data Quality 241

Data Quality Metrics Data-driven Management 241

TDAN

JUNE 4, 2019

The following paper is the first of a three-part series that describes the Non-Invasive Data Governance Framework. Seiner of KIK Consulting & Educational Services (KIKconsulting.com) and The Data Administration Newsletter (TDAN.com). The framework was developed and is implemented by Robert S.

Data Governance 40

Data Governance Consulting Data Quality Metadata 40

TDAN

JUNE 18, 2019

Part one of this series addressed the structure of the Non-Invasive Data Governance Framework. In part two, I detail each of the labels on the rows and columns of the framework. I refer to the row labels as the Levels or perspectives of the organization and the column labels as the Core Components of a […].

Data Governance 45

Data Governance Metadata Data Strategy Business Intelligence 45

Octopai

JANUARY 31, 2021

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Agile Data. Another podcast we think is worth a listen is Agile Data. Techcopedia follows the latest trends in data and provides comprehensive tutorials.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. ” BTW, that Knuth article from 1983 was probably the first time that I ever saw the word “Web” used as a computer-related meaning.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

TDAN

DECEMBER 17, 2019

If you do a general internet search for data catalogs, all sorts of possibilities emerge. If you look closely, and ask a lot of questions, you will find that some of these products are not actually fully functional data catalogs at all. Some software products start out life-solving a specific use case related to data, […].

Metadata 52

Metadata Software Data Quality Data Integration 52

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. Introduction. Welcome back to our monthly burst of themes and conferences.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

TDAN

JULY 16, 2019

Wouldn’t it be great if you could simply put structure around how your organization governs your data without throwing a lot of money and resources at the problem? It’s all in the data. This column describes how you can effectively communicate to management that governance already exists (to some extent), […].

Data Governance 45

Data Governance Management IT Data Quality 45

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?” Rather, the […].

Data Governance 84

Data Governance Data Quality Metadata Data Strategy 84

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

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.

Data Governance 51

Data Governance Data Quality Metadata Data Strategy 51

Grooper

OCTOBER 23, 2019

By paying close attention to changing business environments, they’re quick to implement changes to the infrastructure required for data-driven results. What to expect in this article: How enterprise information management is the surest path for making data a key asset for business growth and innovation.

Metrics 59

Metrics Measurement Strategy Optimization 59

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

TDAN

SEPTEMBER 19, 2023

Am I right that you can’t open LinkedIn, read a tech or business blog, or attend a conference for more than 30 seconds without encountering the generative AI hype? It’s been this way ever since last fall when OpenAI unleashed ChatGPT upon a (mostly) unsuspecting world. Depending on who you read or listen to, generative […]

Metadata 59

Metadata Data Governance Business Intelligence Management 59

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

APRIL 18, 2023

Something has been bothering me about data products. It’s the point at which the consumer of a data product immediately switches to also be a producer. We talk a lot about the binary roles of either consumer or producer when in reality the vast majority of people are both at the same time. I know […]

IT 52

IT Metadata Data Governance Data Strategy 52

TDAN

FEBRUARY 18, 2020

Essential Components forthe Business/IT Lexicographer Today’s organizations often struggle with how poorly their information systems perform. Sources of this poor performance can be many, including functions and components in the conceptual, structural, organizational, and operational domains, among others.

Management 120

Management IT Metadata Data Governance 120

TDAN

DECEMBER 6, 2022

Companies are increasingly focused on finding ways to connect to new and valuable sources of data in order to enhance their analytical capabilities, enrich their models, or deliver more insight to their business units. Due to the increased demand for new data sources, companies are also looking at their internal data differently.

Modeling 52

Modeling Analytics Metadata Data Governance 52

TDAN

DECEMBER 31, 2019

After decades of hope, hype, over-promising, and disappointment, technology that businesspeople can use is finally becoming available, albeit with some level of data literacy. It seems that Self-Service BI is finally taking off. But before we cheer for this success a little caution is in order.

Technology 96

Technology Data Quality IT Data Governance 96

TDAN

NOVEMBER 17, 2020

There is a great deal of talk in our industry about the importance of having common, standard data semantics and language and the value this brings. However, I think one of the greatest obstacles in achieving this is what I call data ‘mine’ing. I am not talking about ‘data mining’ meaning, “the process of collecting, […].

Data mining 82

Data mining Metadata Data Governance Business Intelligence 82

TDAN

MAY 3, 2022

The road to creating business value through a well-oiled data management strategy can be long and challenging. A successful data management strategy is one that generates value rapidly and unlocks new data-driven insights.

Analytics 52

Analytics Data-driven Strategy Management 52

TDAN

MAY 31, 2022

As we enter a new cloud-first era, advancements in technology have helped companies capture and capitalize on data as much as possible. Deciding between which cloud architecture to use has always been a debate between two options: data warehouses and data lakes.

Data Lake 52

Data Lake Data Warehouse Technology Data Architecture 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

SEPTEMBER 15, 2020

Remember the Sears catalog? Hundreds of pages of clothes quickly flipped past to get to the toys! Who didn’t spend countless hours trying to find the perfect suggested gift for your next birthday or holiday? In an Amazon and eBay world, thinking about old-school catalogs seems so quaint. Opening a paper volume to manually flip […].

Data Architecture 69

Data Architecture Metadata Data Strategy Data Governance 69

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

AUGUST 20, 2019

Everyone talks about collecting, storing, and analyzing data but how do you make use of this data if you cannot understand it? The primary problem is the meaning of data within a certain context where it is used. Suppose you need to make some business decisions based on the number of […].

Management 70

Management IT Data Quality Metadata 70

TDAN

JUNE 30, 2020

About a week ago, I was teaching a data modeling class, and an attendee asked me to explain the concept of a data catalog. However, I had recently read the book, The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics by […]. Like a lot of hype-related terms in IT, there is more than one definition.

Modeling 52

Modeling Analytics Data Architecture IT 52

TDAN

NOVEMBER 19, 2019

Common Business Term Problem Symptoms Much of the information assets of an organization are captured in business glossaries which are the compendiums of business terms, their definitions and other properties that form the organization’s core business vocabulary.

Management 64

Management IT Metadata Data Governance 64

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

JANUARY 17, 2023

In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

TDAN

MARCH 19, 2019

In our book, Ethical Data and Information Management, Katherine O’Keefe and I look at the relationship between the Ethic of Society, which today finds expression this morning, in a report from a UK Parliamentary Committee setting out their findings against Facebook and Cambridge Analytica. It is a pretty grim reading.

Risk 61

Risk Reporting Management IT 61