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

AWS Big Data

APRIL 19, 2023

A knowledge graph allows us to combine data from different sources to gain a better understanding of a specific problem domain. In Neptune, we combine the Customer product data with an additional data product: Sales Opportunity. With the AWS SDK for Pandas, we combine this data by running a query against the Neptune graph.

Technology 80

Technology Data-driven Machine Learning Sales 80

Domino Data Lab

APRIL 3, 2019

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. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. Those days are long gone if they ever existed.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

TDAN

JUNE 6, 2023

In the last few months, we have seen the wave of Artificial Intelligence break on the shores of wide-scale business adoption and mainstream media coverage of Large Language Models, most famously ChatGPT.

Risk 75

Risk Modeling Technology Data Governance 75

TDAN

AUGUST 15, 2023

Anyone who knows me well knows that I like to build models with Legos as a diversion from my “data-ly” life. I was never fond of Legos when I was young, but started my Lego excursion when I saw a bright yellow Lego Ford Mustang kit that I had to have. Several years later, I […]

Data Governance 52

Data Governance Modeling Metadata Data Strategy 52

TDAN

JULY 6, 2021

A question was raised in a recent webinar about the role of the Data Architect and Data Modelers in a Data Governance program. My webinar with Dataversity was focused on Data Governance Roles as the Backbone of Your Program.

Data Governance 98

Data Governance Modeling Metadata Data Strategy 98

TDAN

AUGUST 5, 2020

McKinsey research found, even before the pandemic hit, that 92% of organizations thought their business models would require a significant effort in digital transformation to remain competitive. Based on the recent and […].

Management 114

Management Digital Transformation Modeling Metadata 114

TDAN

AUGUST 31, 2021

Can the responsibilities for vocabulary ownership and data ownership by business stakeholders be separate? I have listened to many presentations and read many articles about data governance (or data stewardship if you prefer), but I have never come across anyone saying they can and should be. Should they be?

Data Governance 52

Data Governance IT Metadata Data Strategy 52

TDAN

JULY 14, 2020

In conceptual (“ontological”) data modeling, relationships describe the structure of the connections between pairs of entity types. Rather, since a model is intended to describe simply “what exists,” the structure should be represented by prepositions and […].

Modeling 59

Modeling IT Metadata Data Strategy 59

TDAN

JULY 19, 2022

In reference to the prior column on enterprise data management and high level lego framework, this column reviews in detail the foundational layer of Organization Mission, Level 1. These six lego blocks […].

Strategy 52

Strategy Enterprise Management Modeling 52

TDAN

NOVEMBER 2, 2021

As proponents of Lean Thinking, we view corporations as data factories that produce information for operations, reporting, and financial modeling. We treat data as inventory, data management as manufacturing, and business output as finished goods. Anything […].

Data Governance 52

Data Governance Operational Reporting Manufacturing Risk 52

AWS Big Data

JULY 28, 2023

By creating visual representations of data flows, organizations can gain a clear understanding of the lifecycle of personal data and identify potential vulnerabilities or compliance gaps. Note that putting a comprehensive data strategy in place is not in scope for this post.

Snapshot 80

Snapshot Metadata Measurement Data Warehouse 80

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 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 19, 2022

Introduction We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively.

Data Warehouse 72

Data Warehouse Enterprise IT Metadata 72

TDAN

SEPTEMBER 16, 2020

Differences in Terminology and Capability Building on the terms and concepts introduced in Part I of this white paper, Part II digs deeper into the difference in the meaning of some key terms used in both Property Graphs and Knowledge Graphs, including LABELS, TYPES, and PROPERTIES. Key terms such as these actually mean very different […].

Data Architecture 92

Data Architecture Metadata Data Strategy Strategy 92

TDAN

MAY 31, 2022

In my September 2020 Data is Risky Business column for TDAN.com, I wrote about the strategy lessons for data that we can learn from the writings of a 16thcentury Japanese swordsman. To summarize: – We need to study different disciplines to understand how they relate to each other.

Strategy 52

Strategy Data Architecture Data Strategy Metadata 52

TDAN

MARCH 31, 2020

Executive Summary It seems obvious enough that companies, government agencies and non-profits would benefit from a common language. Without it, coordinating work is more difficult, computers “don’t talk,” and basic questions such as “how many customers do we have?” yield differing answers, making it more difficult to run the business.

IT 84

IT Data Architecture Metadata Data Strategy 84

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

APRIL 30, 2019

Data collection is getting more dispersed and voluminous every day. Enterprises create and collect information from a variety of data sources which may include websites, mobile devices, customers, vendors, and other numerous sources.

Management 69

Management Data Collection Enterprise Data Governance 69

TDAN

NOVEMBER 5, 2019

This series of columns will focus on many things including the nature of a graph database, how we evolved to a graph database, how a graph database is different from a relational database, two classes of graph databases – property and semantic, how property and semantic graph databases differ, use cases, challenges, how to map […].

Metadata 40

Metadata Data Strategy Data Architecture Business Intelligence 40

AWS Big Data

MARCH 9, 2023

Organizations create data marts , which are subsets of the data warehouse and usually oriented for gaining analytical insights specific to a business unit or team. The star schema is a popular data model for building data marts. Data loading is one of the key aspects of maintaining a data warehouse.

Slice and Dice 79

Slice and Dice Data Warehouse Metrics Metadata 79

TDAN

MAY 14, 2019

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

Management 40

Management Data Quality Data Architecture Metadata 40

Alation

MARCH 21, 2023

When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits. They may also suffer from data duplication, which undermines their analytics models. Using Alation, ARC automated the data curation and cataloging process.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Monica Youngman, director of data stewardship—check out her slides for the “Data Archiving at NOAA” keynote.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Laminar Security

AUGUST 23, 2023

Businesses need a new kind of data security to keep pace: an agile, cloud-native approach that safeguards their sensitive data while supporting rapid innovation and constant motion. What are the benefits of cloud data security? Although cloud data security might seem daunting at first, it pays for itself in dividends.

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

TDAN

JANUARY 4, 2022

For many organizations, data is a business asset that’s owned by the IT department. Based on this ‘data ownership’ model, there is limited access to data across the organization, and no transparency around what is available internally. But with the isolated data […].

Data Strategy 52

Data Strategy Strategy Modeling IT 52

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization? What are your data and AI objectives?

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64