The Data Administration Newsletter

MAY 18, 2021

Three different types of data models exist, each of which plays a distinct role in data modeling. They help an organization’s efforts in organizing, understanding, and making productive use of enterprise data resources.

Data Modelling 75

Data Modelling Data Management 75

Tableau

OCTOBER 14, 2021

Typically, enterprises face governance challenges like these: Disconnected data silos and legacy tools make it hard for people to find and securely access the data they need for making decisions quickly and confidently. Data management processes are not integrated into workflows, making data and analytics more challenging to scale.

Government 98

Government Data Management Data Governance Cybersecurity 98

Tableau

OCTOBER 14, 2021

Typically, enterprises face governance challenges like these: Disconnected data silos and legacy tools make it hard for people to find and securely access the data they need for making decisions quickly and confidently. Data management processes are not integrated into workflows, making data and analytics more challenging to scale.

Government 95

Government Data Management Data Governance Cybersecurity 95

The Data Administration Newsletter

SEPTEMBER 14, 2021

In this article, I describe a method of modelling data so that it meets business requirements. Central to this method is that modelling not only the required data, but also the subset of the real world that concerns the enterprise.

Data Modelling 52

Data Modelling Data Quality Data Management 52

The Data Administration Newsletter

NOVEMBER 1, 2022

Many software developers distrust data architecture practices such as data modeling. They associate these practices with rigid and bureaucratic processes causing significant upfront planning and delays.

Data Modelling 64

Data Modelling Data Architecture Planning Data Management 64

InfoQ Articles

MARCH 3, 2022

In this article, authors discuss the data lineage as a critical component of data pipeline root cause and impact analysis workflow and how automating lineage creation and abstracting metadata to field-level helps with the root cause analysis efforts. By Mei Tao, Xuanzi Han, Helena Muñoz.

Data Modelling 107

Data Modelling Data Management 107

The BAWorld

SEPTEMBER 27, 2024

And therefore, to figure all this out, data analysts typically use a process known as data modeling. It forms the crucial foundation for turning raw data into actionable insights. Data modeling designs optimal data structures and relationships for storage, access, integrity, and analytics.

Data Modelling 40

Data Modelling IBM Maintenance IBM Support IBM cost 40

The Data Administration Newsletter

JULY 6, 2021

Larry Burns’ latest book, Data Model Storytelling, is all about maximizing the value of data modeling and keeping data models (and data modelers) relevant. Larry Burns is an employee for a large US manufacturer.

Data Modelling 52

Data Modelling Master Data Management Data Management Agile 52

The Data Administration Newsletter

JUNE 20, 2023

These days, there is much conversation about the necessity of the data model. The data model has been around for several decades now and can be classified as an artifact of an earlier day and age. But is the data model really out of date? And exactly why do we need a data model, anyway? […]

Data Modelling 52

Data Modelling Master Data Management Data Governance Data Management 52

The Data Administration Newsletter

FEBRUARY 1, 2022

The COVID-19 pandemic has shown that data-driven decisions have influence over all our lives over the last two years. But decisions made without proper data foundations, such as well constructed and updated data models, can lead to potentially disastrous results.

Data Modelling 52

Data Modelling Government Data Management 52

The Data Administration Newsletter

FEBRUARY 1, 2022

The COVID-19 pandemic has shown that data-driven decisions have influence over all our lives over the last two years. But decisions made without proper data foundations, such as well constructed and updated data models, can lead to potentially disastrous results.

Data Modelling 52

Data Modelling Government Data Management 52

The Data Administration Newsletter

APRIL 3, 2024

It lets me discuss what I learned from a newly released data management book. I love writing this column for TDAN. When I publish a book through Technics Publications, I see the manuscript mostly through the eyes of a publisher. But when I write this column, I see the manuscript through the eyes of a […]

Data Modelling 52

Data Modelling Data Management 52

The Data Administration Newsletter

JULY 21, 2021

There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do. And outdated data models no longer […].

Big Data 145

Big Data Data Modelling Data Architecture Data Management 145

The Data Administration Newsletter

AUGUST 2, 2022

Canonical Data Models and Overlapping Connections In the previous article, I introduced and explained the approach to application development called ‘Domain-Driven Development’ (or DDD), explained some of the Data Management concerns with this approach, and described how a well-constructed data model can add value to a DDD project by helping to create (..)

Data Modelling 59

Data Modelling Data Management Data Architecture 59

The Data Administration Newsletter

JULY 5, 2022

Bounded Contexts / Ubiquitous Language My new book, Data Model Storytelling,[i] contains a section describing some of the most significant challenges data modelers and other Data professionals face. Like most of its predecessors, including Agile development and […].

Data Modelling 102

Data Modelling Agile Data Architecture Data Management 102

Sisense

AUGUST 21, 2020

How exactly is all that data going to talk to each other and come together to provide the end-to-end analysis? Knowledge graphs will be the base of how the data models and data stories are created, first as relatively stable creatures and, in the future, as on-demand, per each question. Trend 5: Augmented data management.

Data Modelling 112

Data Modelling Supply Chain Decision Modelling Visualization 112

Astera

FEBRUARY 1, 2024

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

The Data Administration Newsletter

AUGUST 16, 2022

In the first article, I introduced and explained the approach to application development called Domain-Driven Development (or DDD), explained some of the Data Management concerns with this approach, and described how a well-constructed data model can add value to a DDD project by helping to create the Ubiquitous Language that defines the Bounded Context (..)

Data Modelling 59

Data Modelling Data Management Master Data Management Data Architecture 59

The Data Administration Newsletter

SEPTEMBER 21, 2022

Data Mesh and Data as a Product In the first article, I introduced and explained the approach to application development called Domain-Driven Development (or DDD), explained some of the Data Management concerns with this approach, and described how a well-constructed data model can add value to a DDD project by helping to create the Ubiquitous […]. (..)

Data Modelling 52

Data Modelling Data Management Data Governance Data Architecture 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

The Data Administration Newsletter

JUNE 1, 2021

One of the ideas we promote is elegance in the core data model in a Data-Centric enterprise. Look at most application-centric data models: you would think they would be simpler than the enterprise model, after all, they are a small subset of it. This is harder than it sounds.

Data Modelling 98

Data Modelling Data Architecture Big Data Data Management 98

Actian

JULY 11, 2019

Some companies are relying on operational technology to support, for example, marketing, sales and digital delivery of services, but that is the topic of a future article.). Why operational technology data management may never be standardized. The biggest challenge to standardizing OT data management is managing change.

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

Dataversity

JULY 12, 2021

In my eight years as a Gartner analyst covering Master Data Management (MDM) and two years advising clients and prospects at a leading vendor, I have seen first-hand the importance of taking a multidomain approach to MDM. Click to learn more about author Bill O’Kane.

Master Data Management 130

Master Data Management Data Management Data Quality Data Governance 130

Sisense

APRIL 10, 2020

Healthy Data is your window into how data is helping these organizations address this crisis. As the rapid spread of COVID-19 continues, data managers around the world are pulling together a wide variety of global data sources to inform governments, the private sector, and the public with the latest on the spread of this disease.

Visualization 105

Visualization Data Modelling Healthcare Government 105

The Data Administration Newsletter

APRIL 17, 2024

In the first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We […]

Agile 98

Agile Data Modelling Data Management 98

The Data Administration Newsletter

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 Government Data Modelling Data Management 98

The Data Administration Newsletter

JANUARY 5, 2021

One exception is Telling Your Data Story: Data […]. Sometimes I like to read a book purely for pleasure, like a good Dan Brown or Stephen King novel, and sometimes I like to read a book to learn something new. There are not many books that I read for both pleasure and to learn new things.

Data Management 52

Data Management Data Modelling Data Governance Big Data 52

The Data Administration Newsletter

FEBRUARY 17, 2021

“…quite simply, the better and more accessible the data is, the better the decisions you will make.” – “When Bad Data Happens to Good Companies,” (environmentalleader.com) The Business Impact of an organization’s Bad Data can cost up to 25% of the company’s Revenue (Ovum Research) Bad Data Costs the US healthcare $314 Billion. (IT

Data Management 59

Data Management Healthcare Data Quality Data Modelling 59

The Data Administration Newsletter

APRIL 4, 2023

Why would Technics Publications publish a book outside its specialty of data management? First, Graham is a world-renowned data modeler and the author of Data Modeling for Quality, and therefore many of his examples are in the field of data management. Second, and more […]

Data Modelling 52

Data Modelling Data Management Data Architecture 52

The Data Administration Newsletter

FEBRUARY 1, 2022

My new book, Data Model Storytelling[i], describes how data models can be used to tell the story of an organization’s relationships with its Stakeholders (Customers, Suppliers, Dealers, Regulators, etc.), The book describes, […].

Data Modelling 64

Data Modelling Data Governance Data Management Government 64

The Data Administration Newsletter

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.

Data Governance 52

Data Governance Government Data Quality Data Modelling 52

GAVS Technology

JANUARY 7, 2021

While the importance of HIE is clearly visible, now the important question is how hospitals can collaborate to form an HIE and how the HIE will consolidate data from disparate patient information sources. This brings us to the important discussion of HIE data models. HIE Data Models. The two models are.

Healthcare 52

Healthcare Data Modelling Data Mining Government 52

Tableau

SEPTEMBER 23, 2021

Editor’s note: This article originally appeared on CIO.com. If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? Data modeling. Data migration . Metadata management. Security and risk management.

Data Governance 102

Data Governance Government Data Quality Change Management 102

Tableau

SEPTEMBER 23, 2021

Editor’s note: This article originally appeared on CIO.com. If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? Data modeling. Data migration . Metadata management. Security and risk management.

Data Governance 97

Data Governance Government Data Quality Change Management 97

Capiro

JULY 19, 2017

This article considers 3 levels of business analysis. Strategic : Business transformations; Portfolio management; Business change; Business architecture and Target operating models; Business agility; Benefits realisation. Competent with business process modelling, business data modelling and business rules.

Business Analysis 40

Business Analysis Business Analysis Portfolio Management Business Architecture 40