Tableau

OCTOBER 14, 2021

But most organizations still struggle to achieve data and analytics at scale—and governance is the most foundational challenge to overcome. . As the stewards of the business, IT is uniquely positioned to lead organizational transformation by delivering governed data access and analytics that people love to use.

Government 95

Government Data Management Data Governance Cybersecurity 95

Domo

APRIL 10, 2025

This is where master data management (MDM) comes in, offering a solution to these widespread data management issues. MDM ensures data accuracy, governance, and accountability across an enterprise. Data spread across multiple sources led to inefficiencies in patient care and administrative processes.

Master Data Management 52

Master Data Management Data Management Data Governance Supply Chain 52

Dataversity

AUGUST 12, 2024

One of the most important questions about using AI responsibly has very little to do with data, models, or anything technical. How can […] The post Ask a Data Ethicist: How Can We Set Realistic Expectations About AI? It has to do with the power of a captivating story about magical thinking.

Data Modelling 262

Data Modelling Government 262

Dataversity

JULY 16, 2024

Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. Part […] The post Enterprise Data World 2024 Takeaways: Trending Topics in Data Architecture and Modeling appeared first on DATAVERSITY.

Data Architecture 147

Data Architecture Data Governance Government Data Modelling 147

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? A data governance framework. Identify root causes of data governance to drive impactful change.

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? A data governance framework. Identify root causes of data governance to drive impactful change.

Data Governance 97

Data Governance Government Data Quality Change Management 97

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

Dataversity

JUNE 19, 2023

In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline.

Monitoring 130

Monitoring Data Modelling Data Quality Data Governance 130

The BAWorld

JANUARY 8, 2025

This article will seek to explore all the Power BI certifications available, their content, and cost, to help determine how these can boost one’s career. Suitable for professionals interested in working with larger-scale data ecosystems and optimizing data flows for analytics. Cost : 4865 (INR) for the exam.

Business Intelligence 52

Business Intelligence Business Intelligence Data Visualization Data Analytics 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

Analysts Corner

FEBRUARY 12, 2023

The use of language models in Artificial Intelligence can leverage the productivity of Business Analysis. link] In this article, I demonstrate how it is possible to use Chat GPT as an assistant (or helper) in executing business analysis tasks based on a case study that deals with developing an application by a startup.

Business Analysis 147

Business Analysis Business Analysis UML Artificial Intelligence 147

ElegantJ BI

SEPTEMBER 15, 2017

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective. Data Governance and Self-Serve Analytics Go Hand in Hand.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Hope the article helped. Source: Gartner Research).

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

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

Analysts Corner

JUNE 18, 2023

As the importance of data integration and analysis continues to grow, the demand for skilled ETL (Extract, Transform, Load) developers has risen accordingly. ETL developers play a critical role in managing and transforming data to enable organizations to make data-driven decisions.

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

ElegantJ BI

JUNE 10, 2022

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models.

Business Intelligence 130

Business Intelligence Business Intelligence Visualization Data Discovery 130

ElegantJ BI

JUNE 10, 2022

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models.

Business Intelligence 130

Business Intelligence Business Intelligence Visualization Data Discovery 130

ElegantJ BI

JUNE 10, 2022

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models.

Business Intelligence 130

Business Intelligence Business Intelligence Visualization Data Discovery 130

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

The Data Administration Newsletter

APRIL 20, 2021

Steve Hoberman has been a long-time contributor to The Data Administration Newsletter (TDAN.com), including his The Book Look column since 2016, and his The Data Modeling Addict column years before that.

Data Governance 52

Data Governance Data Modelling Government Data Management 52

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

Dataversity

MAY 1, 2023

Many organizations have mapped out the systems and applications of their data landscape. Many have modeled their data domains and key attributes. The remainder of this point of view will explain why connecting […] The post Connecting the Three Spheres of Data Management to Unlock Value appeared first on DATAVERSITY.

Data Management 244

Data Management Documentation Data Modelling Data Quality 244

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

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

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 Government Master Data Management 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

Whizlabs

APRIL 19, 2021

David is also a contributor to IEEE Cloud Computing and has published countless number of articles and books over the years. His 20+ years of experience has made him an expert in Cloud Computing Strategy & Governance, Cloud Centre of Excellence leadership, Cloud Migration, IaaS/PaaS and Public/Hybrid Cloud.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Dataversity

APRIL 5, 2021

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.

Data Management 244

Data Management Agile Data Warehouse Data Modelling 244

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Data Analytics Terms & Fundamentals. Data Modeling. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Watermark Learning

OCTOBER 3, 2023

It also has a list of 50 techniques that ensure consistency and effectiveness in the application of business analysis, which is the topic of today’s article What is the BABOK® Guide? Data Modeling-Describes the data important to the business.

Process Modelling 86

Process Modelling Business Analysis Business Analysis Visualization 86

Insight Software

NOVEMBER 20, 2023

Solutions such as BOBJ, Cognos, and OBIE adapted to the requirements of the larger enterprise, introducing rich semantic models, governance capabilities and targeting a far larger audience inside the enterprise by providing capabilities for analysis, pre-built reporting, and automated refreshing, etc.

Business Intelligence 52

Business Intelligence Business Intelligence IBM Support IBM cost 52

MindsMapped

JANUARY 5, 2021

In this article, we will exploring the core knowledge areas and linking these core knowledge areas to the practicalities of the business analysis profession. Plan Business Analysis Governance. BABoK Knowledge Areas Explained. Establishing decision makers and approval frameworks are imperative in any project. Approve Requirements.

Business Analysis 94

Business Analysis Business Analysis Skillset Solution Evaluation 94

Data Pine

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 96

Data Quality Monitoring Big Data Government 96

The Data Administration Newsletter

AUGUST 7, 2024

My column today is a follow-up to my article “The Challenge of Data Consistency,” published in the May 2023 issue of this newsletter. In that article, I discussed how semantic encoding (also called concept encoding) is the go-to solution for consistently representing master data entities such as customers and products.

Data Quality 52

Data Quality Data Modelling Data Governance Artificial Intelligence 52