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

OCTOBER 5, 2021

Doug has spoken many times at our Data Modeling Zone conferences over the years, and when I read the book, I can hear him talk in his distinct descriptive and conversational style. The Enrichment Game describes how to improve data quality and data useability […].

Data Modelling 52

Data Modelling Data Quality Data Management 52

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? Organizations must also establish policies and procedures to ensure data quality and compliance.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Sisense

APRIL 15, 2021

Augmented analytics (according to Gartner, which would know), uses technologies “such as machine learning [ML] and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data in analytics and BI platforms.”

Artificial Intelligence 98

Artificial Intelligence Data Modelling Cloud Computing Data Discovery 98

Astera

JANUARY 18, 2024

So, in this article, we will explore some of the best alternatives to Fivetran. Fivetran is also not an ideal solution if you are looking for a complete enterprise-grade data management solution as it doesn’t support data governance or offer advanced capabilities to improve data quality.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Data Analytics Terms & Fundamentals. Completeness is a data quality dimension and measures the existence of required data attributes in the source in data analytics terms, checks that the data includes what is expected and nothing is missing.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Dataversity

MAY 3, 2024

Commerce today runs on data – guiding product development, improving operational efficiency, and personalizing the customer experience. However, many organizations fall into the trap of thinking that more data means more sales, when these two factors aren’t directly correlated.

Digital Transformation 189

Digital Transformation Customer Experience Customer Experience Digital 189

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

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses. Both approaches aim to improve data quality and enable accurate analysis.

Data Warehouse 215

Data Warehouse Data Quality Data Analytics Data Analytics 215

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

Astera

JANUARY 31, 2024

So, in this article we will explore some of the most capable SQL ETL tools for data integration. While SSIS is Microsoft’s own ETL service, it’s not the only player in the data integration landscape that enables users to implement ETL in SQL Server, as we’ll see later in the article.

Data Warehouse 52

Data Warehouse Visualization Data Management Data Quality 52

MindsMapped

JULY 18, 2020

Most people reading this article would have heard about this before. Business Analytics mostly work with data and statistics. They primarily synthesize data and capture insightful information through it by understanding its patterns. Functional Business Analyst is a widely used term across the board. Business Analytics.

Business Analysis 46

Business Analysis Business Analysis Requirements Gathering Documentation 46

The Data Administration Newsletter

JANUARY 17, 2024

Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations.

Data Modelling 122

Data Modelling Data Quality Data Governance Government 122

Dataversity

MARCH 22, 2021

This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. The post Where Is the Data Technology Industry Headed? Click here to learn more about Heine Krog Iversen.

Planning 246

Planning Data Warehouse Data Quality Data Modelling 246

Dataversity

FEBRUARY 19, 2021

Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel. Click to learn more about author Tejasvi Addagada.

Business Intelligence 147

Business Intelligence Business Intelligence Data Modelling Data Governance 147

Dataversity

MARCH 18, 2022

Redman) served as the judge in a mock trial of a data architect (played by Laura Sebastian Coleman) […]. The post What Data Practitioners Need to Know (and Do) About Common Language appeared first on DATAVERSITY. Weinberg [1] In March 2019, one of us (Thomas C.

Chief Data Officer 130

Chief Data Officer Digital Transformation Data Governance Data Quality 130

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

Dataversity

FEBRUARY 17, 2021

Click to learn more about author Steve Zagoudis. Successful problem solving requires finding the right solution to the right problem. We fail more often because we solve the wrong problem than because we get the wrong solution to the right problem.” – Russell L.

Data Warehouse 130

Data Warehouse Data Modelling Data Governance Data Quality 130

The Data Administration Newsletter

AUGUST 3, 2021

Rigidly adhering to a standard, any standard, without being reasonable and using your ability to think through changing situations and circumstances is itself a bad standard. I guess I should quickly define what I mean by a “database standard” for those who are not aware.

Documentation 116

Documentation Data Quality Data Modelling Data Architecture 116

Dataversity

MARCH 1, 2021

Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […]. Click to learn more about author Wayne Yaddow.

Data Warehouse 130

Data Warehouse Data Governance Data Quality Data Modelling 130

The Data Administration Newsletter

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. […].

Master Data Management 78

Master Data Management Data Quality Data Modelling Data Governance 78

The Data Administration Newsletter

AUGUST 2, 2022

In part 1 of this series, I shared how our reactions to data can cause a great deal of suffering and discussed the following 3 principles to identify how this suffering can occur as well as ways to alleviate suffering: Attachment is a root cause of suffering ‘Not knowing’ has unlimited possibilities Always being ‘right’ […].

Data Quality 52

Data Quality Data Modelling Data Governance Government 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

JUNE 15, 2021

billion annually due to improperly organized testing – despite the fact that 25-40% of budget funds are allocated to methods and tools for Quality Assurance (QA) organization. According to research work done by the National Institute of Standards and Technology, the US economy loses from $22.5 billion to $59.5 What does this mean?

Data Quality 52

Data Quality Data Modelling Data Management 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 quality: Gone are the days of “data is data, and we just need more.” Data modeling.

Data Governance 91

Data Governance Government Data Quality Change Management 91

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 quality: Gone are the days of “data is data, and we just need more.” Data modeling.

Data Governance 79

Data Governance Government Data Quality Change Management 79