Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

TDAN

APRIL 17, 2024

Those of us in the field of enterprise data management are familiar with the many authors contributing their knowledge and expertise to the data management body of knowledge.[1] 1] We are also very familiar with the many, varied, and often conflicting ways in which data management terms are used.

Data Governance 52

Data Governance Data Architecture Data Integration Management 52

TDAN

SEPTEMBER 19, 2023

The transition from hybrid to multi-cloud environments is more than just a buzzword: It’s a fundamental shift in how organizations manage and utilize their data. As these complex architectures evolve, the importance of robust multi-cloud data governance cannot be overstated.

Data Governance 52

Data Governance Management Data Architecture 52

Data Virtualization

OCTOBER 11, 2024

Reading Time: 3 minutes Data integration is an important part of Denodo’s broader logical data management capabilities, which include data governance, a universal semantic layer, and a full-featured, business-friendly data catalog that not only lists all available data but also enables immediate access directly.

Data Integration 59

Data Integration Data Governance Management Data Architecture 59

Data Virtualization

JUNE 9, 2022

Reading Time: 4 minutes Join our discussion on All Things Data with Fred Baradari, Federal Partner and Channel Sales Director at Denodo, with a focus on how Data Governance and Security are the real champions in bringing IT transformation. Listen to “The Role of.

Data Governance 52

Data Governance IT Sales Data Integration 52

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

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

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

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

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 59

Metadata Management Business Intelligence Data Governance 59

Peter James Thomas

AUGUST 2, 2019

Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment. Data Federation. Data Function. Data Model. Data Operating Model. The Data & Analytics Dictionary will continue to be expanded in coming months.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

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

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

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

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 105

Technology Data-driven Machine Learning Sales 105

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 Big Data 94

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 83

Data Lake Data Architecture Data-driven Data Warehouse 83

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

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

MAY 3, 2019

Control of Data to ensure it is Fit-for-Purpose. This refers to a wide range of activities from Data Governance to Data Management to Data Quality improvement and indeed related concepts such as Master Data Management. Data Architecture / Infrastructure. Best practice has evolved in this area.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

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

TDAN

SEPTEMBER 4, 2024

There are many perennial issues with data: data quality, data access, data provenance, and data meaning. I will contend in this article that the central issue around which these others revolve is data complexity. It’s the complexity of data that creates and perpetuates these other problems.

Data Quality 52

Data Quality Data Architecture IT Data Governance 52

Data Virtualization

JUNE 19, 2024

The post Navigating the New Data Landscape: Trends and Opportunities appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. At TDWI, we see companies collecting traditional structured.

Data Integration 59

Data Integration Management Analytics Data Architecture 59

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

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

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

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

TDAN

DECEMBER 4, 2024

The Irish satirist Jonathan Swift wrote “Gulliver’s Travels” almost 300 years ago, but the story of Lemuel Gulliver’s journey to Lilliput and beyond has resonance for data leaders today. There are important lessons to learn from the little people of Lilliput and the challenges encountered by the eponymous Gulliver.

Data Architecture 52

Data Architecture Unstructured Data Data Governance Metadata 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

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 Governance 105

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

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

TDAN

AUGUST 18, 2020

The business glossary is simple in concept, but it can be a challenge to structure, define and maintain shared business terminology. Consistent business meaning is important because distinctions between business terms are not typically well defined or documented.

Management 96

Management Metadata Data Architecture IT 96

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

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

JUNE 18, 2019

The first step to fixing any problem is to understand that problem—this is a significant point of failure when it comes to data. Most organizations agree that they have data issues, categorized as data quality. However, this definition is […].

Data Quality 90

Data Quality Data Architecture IT Data Governance 90