TDAN

AUGUST 20, 2019

The goal of data governance is to ensure the quality, availability, integrity, security, and usability within an organization. Many traditional approaches to data governance seem to struggle in practice; I suspect it is partly because of the cultural impedance mismatch, but also partly because […].

Data Governance 68

Data Governance Strategy Data Architecture IT 68

TDAN

APRIL 18, 2023

Banks – and their data volumes – are at the epicenter of the world’s digital transformation. The pace of change mirrors the velocity, volume, and variety of data within the industry. It is where new products, new markets, and new touchpoints mean new – often cloud-based – ways to do business in financial services.

Data Governance 59

Data Governance Digital Transformation Marketing Data Architecture 59

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

APRIL 16, 2019

The phrase “data architecture” often has different connotations across an organization depending on where their job role is. For instance, most of my earlier career roles were within IT, though throughout the last decade or so, has been primarily working with business line staff.

Data Architecture 40

Data Architecture IT Data Quality Data Governance 40

erwin

JUNE 19, 2020

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate.

Enterprise 130

Enterprise Data Architecture Strategy Data Governance 130

erwin

JUNE 19, 2020

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate.

Enterprise 94

Enterprise Data Architecture Strategy Data Governance 94

Octopai

APRIL 19, 2021

BI teams will have a better handle on their data’s history, its current status, and any changes it may have undergone. Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. IRM UK Connects.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

TDAN

APRIL 3, 2024

In the first article of this series, 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 […]

Data Architecture 59

Data Architecture Data Governance Management 59

CIO Business Intelligence

AUGUST 9, 2023

Generative AI “fuel” and the right “fuel tank” Enterprises are in their own race, hastening to embrace generative AI ( another CIO.com article talks more about this). To better understand the scale of data changes, the graphic below shows the relative magnitude of generative AI data management needs, impacting both compute and storage needs.

Unstructured Data 98

Unstructured Data Modeling Data Architecture Enterprise 98

TDAN

MARCH 5, 2019

It seems like we’re so busy running that we no longer have time to think. We want to be faster and more responsive, but we aren’t even sure what we are trying to achieve. It’s like the person at your office that is always too busy, is working extra-long hours (and makes sure that everybody […].

Data Governance 53

Data Governance Enterprise Data Architecture IT 53

TDAN

MAY 2, 2023

The terms Data Mesh and Data Fabric have been used extensively as data management solutions in conversations these days, and sometimes interchangeably, to describe techniques for organizations to manage and add value to their data.

Management 94

Management Data Architecture Data Governance Business Intelligence 94

TDAN

AUGUST 2, 2022

Data archiving is an important aspect of data governance and data management. Not only does archiving help to reduce hardware and storage costs, but it is also an important aspect of long-term data retention and a key participant in regu­latory compliance efforts.

Data Governance 88

Data Governance Management Data Architecture IT 88

Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 78

Data Lake Data Architecture Data-driven Data Warehouse 78

Data Virtualization

MARCH 19, 2024

When I asked him what his most pressing priority was for 2024, he answered, “taming the data storm.” The post One CIO’s 2024 Priority: Taming the Data Storm appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. CIOs are no longer viewed.

Data Integration 64

Data Integration Management ROI Data-driven 64

AWS Big Data

APRIL 19, 2023

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization. Mike is the author of two books and numerous articles.

Technology 80

Technology Data-driven Machine Learning Sales 80

Data Virtualization

MARCH 18, 2024

Facing a range of regulations covering privacy, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), to financial regulations such as Dodd-Frank and Basel II, to.

Insurance 52

Insurance Data Integration Management Data Lake 52

TDAN

MARCH 15, 2022

In her groundbreaking article, How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh, Zhamak Dehghani made the case for building data mesh as the next generation of enterprise data platform architecture.

Data Lake 69

Data Lake Enterprise Data Architecture Data Governance 69

Peter James Thomas

OCTOBER 30, 2018

This article is not about Marketing professionals, it is about poorly researched journalism. Prelude… I recently came across an article in Marketing Week with the clickbait-worthy headline of Why the rise of the chief data officer will be short-lived (their choice of capitalisation). …and Fugue.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

TDAN

JANUARY 17, 2023

In 2022, we saw that Data Strategy played key role in the success of top performing companies globally. is being “data driven”. This article is continuation of the proposed enterprise data management block […].

Data Strategy 52

Data Strategy Data-driven Strategy Enterprise 52

TDAN

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-driven 52

Data-driven Modeling Management Data Architecture 52

TDAN

JULY 6, 2021

Having a data strategy will enable data-driven decisions. Developing any strategy is challenging because strategy is more of an art than science, but we did find in a Prophet article titled “Successful Business Growth Strategies: […].

Data Strategy 52

Data Strategy Strategy Data-driven Data Architecture 52

TDAN

FEBRUARY 2, 2021

The example of the myriad of COVID-19 challenges shows that coordinated, data-driven action across boundaries has helped fast-track solutions such as testing, vaccines, and non-pharmaceutical interventions. In this article, we will explore how organizations can […].

Enterprise 52

Enterprise Data-driven Testing Data Architecture 52

Data Virtualization

NOVEMBER 24, 2022

The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part II appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Warehouse 52

Data Warehouse Data Integration Technology Management 52

TDAN

MARCH 6, 2024

Organizations manage data in the cloud through strategic planning and the implementation of best practices tailored to their specific needs. This involves selecting the right cloud service providers and technology stacks that align with their data management goals.

Management 52

Management Technology Data Architecture Data Governance 52

TDAN

MARCH 14, 2023

As data programs accelerate their capabilities to tap into insights, the rights of the consumer and their privacy are racing counter. We’ve long had to contend with the balance of how to best use data throughout its lifecycle and build processes. The more recent innovation? The ability to rapidly pivot, experiment, and learn.

Data Quality 97

Data Quality Data Architecture IT Data Governance 97

Anmut

MARCH 24, 2022

As for the third definition of data landscape, the intent to connect data to customers is admirable, but it’s still not truly value-oriented and is often too high-level to be useful in practice. In this article, we’d like to propose a fourth, slightly different way of defining the data landscape within your organisation.

ROI 52

ROI Measurement Data-driven Data Transformation 52

TDAN

FEBRUARY 7, 2024

In the rapidly evolving data landscape, data practitioners face a plethora of concepts and architectures. Data mesh argues for a decentralized approach to data and for data to be delivered as curated, reusable data products under the ownership of business domains.

IT 52

IT Data Architecture Data Warehouse Data Governance 52

TDAN

OCTOBER 18, 2022

“Technical debt” refers to the implied cost of future refactoring or rework to improve the quality of an asset to make it easy to understand, work with, maintain, and extend.

Software 94

Software Data Architecture IT Data Quality 94

TDAN

DECEMBER 19, 2023

Dark data remains one of the greatest untapped resources in business. This is due to the vast amounts of usable data that exists within an organization, but is not utilized or analyzed to serve a specific purpose. Since dark data represents missed opportunities for […]

Data Architecture 52

Data Architecture Data Governance Business Intelligence Management 52

TDAN

JANUARY 31, 2023

Government systems produce and store a large amount of data daily. Government leaders want to utilize this data to make decisions faster and more efficiently. Alternately, superior strategic and tactical capabilities […]

Enterprise 98

Enterprise Data Architecture IT Data Strategy 98

TDAN

MAY 31, 2022

Synthetic Data is, according to Gartner and other industry oracles, “hot, hot, hot.” In fact, according to Gartner, “60 percent of the data used for the development of AI and analytics projects will be synthetically generated.”[1]

Data Processing 105

Data Processing Analytics Data Architecture Data Governance 105

TDAN

OCTOBER 17, 2023

The worldwide shift toward cloud computing significantly changes how businesses approach data management and operation. Regardless of whether private, public, or hybrid cloud models are employed, the advantages of cloud computing are numerous, including heightened efficiency, reduced expenses, and increased flexibility.

Risk 52

Risk Management Modeling Data Architecture 52

TDAN

FEBRUARY 14, 2023

Readers of my writings sometimes ask me questions about databases and database administration, which I welcome. And at times I will take the opportunity to answer particularly intriguing questions in print.

Measurement 81

Measurement Metrics Management Data Architecture 81

TDAN

APRIL 18, 2023

For the Enterprise Data Management Council (EDMC), I recently concluded a detailed comparison and mapping of the DMM to the DCAM with the Council’s Product Manager, employing the Soladatus modeling tool with its robust model mapping features. As you might expect, it revealed both structural differences, strengths, and gaps in both models.

Modeling 64

Modeling Management Enterprise IT 64

TDAN

MAY 2, 2023

In today’s data-driven world, organizations are demanding and consuming vast amounts of data — data that needs to be easily accessed, analyzed, and presented in a way that enables quick action.

Data-driven 59

Data-driven IT Data Architecture Metadata 59

TDAN

AUGUST 17, 2021

It has been an incredible run. I hope it is just “see you soon” rather than “goodbye.” With this column, DAMA International’s streak of quarterly columns since mid-2001 is coming to an end. The columns have featured the activities and incredible work of DAMA International over the past two decades. Thank you, DAMA, and I […].

IT 105

IT Data Architecture Metadata Data Strategy 105

TDAN

AUGUST 15, 2023

Recently, I attended the CDIO Conference in Boston where I had the pleasure of hearing the two Toms (Tom Redman and Tom Davenport) — gurus of data — introduce the concept of tweeners to the data management world. As I listened to their explanation of a tweener (someone who sits with one foot in data […]

Management 52

Management Data Quality Data Architecture Data Governance 52