Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0, Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Astera

FEBRUARY 14, 2024

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. It applies selected business rules, calculations, data cleansing and data quality functions to the data.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Astera

FEBRUARY 14, 2024

Data Validation: Perform thorough validation checks on the data to ensure accuracy and completeness. Apply custom validation rules to validate data against predefined criteria and reconcile any discrepancies to maintain data quality. Data Loading: Load the transformed data into Salesforce.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Quality 52

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Dataversity

JULY 17, 2023

For data-driven organizations, this leads to successful marketing, improved operational efficiency, and easier management of compliance issues. However, unlocking the full potential of high-quality data requires effective Data Management practices.

Data Requirement 130

Data Requirement Data Management Data Quality Data Governance 130

The Data Administration Newsletter

MAY 17, 2022

One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when Stuart Madnick and Rich Wang at MIT adapted the concept of Total Quality Management (TQM) from manufacturing to Information Systems reframing it as Total Data Quality Management (TDQM).

Data Quality 52

Data Quality Data Governance Data Architecture 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

Dataversity

AUGUST 5, 2021

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation.

Digital Transformation 246

Digital Transformation Digital Data Management Data Warehouse 246

Astera

OCTOBER 19, 2023

Easy-to-Use, Code-Free Environment By eliminating the need for writing complex code, data preparation tools reduce the risk of errors. These tools allow users to manipulate and transform data without the potential pitfalls of manual coding. Top 5 Data Preparation Tools for 2023 1.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

The Data Administration Newsletter

APRIL 19, 2022

Data driven organizations are innovating faster than ever.

Data Management 59

Data Management Innovation Data Quality Data Architecture 59

Sisense

AUGUST 28, 2020

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is.

Data Quality 101

Data Quality Data Security Data Architecture Agile 101

Astera

JUNE 6, 2023

As the volume and complexity of data continue to rise, effective management and processing become essential. The best data pipeline tools offer the necessary infrastructure to automate data workflows, ensuring impeccable data quality, reliability, and timely availability. Find out How

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 52

Astera

APRIL 24, 2024

A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

The Data Administration Newsletter

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 […]

Data Management 52

Data Management Data Quality Data Governance Data Architecture 52

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Data analysts in one organization might be called data scientists or statisticians in another.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Astera

DECEMBER 21, 2022

Moving data warehouses to the cloud relieve businesses from worrying about insufficient storage and lowers their overhead and maintenance costs. A cloud DWH is critical for businesses that need to make quick, data-driven decisions. What are the Benefits of Cloud Data Warehouses Compared to On-premise Solutions?

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

MARCH 19, 2024

It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. At its core, data governance aims to answer questions such as: Who owns the data? What data is being collected and stored?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Dataversity

AUGUST 4, 2023

In today’s interconnected world, businesses not only grapple with the management of vast amounts of data but also face the looming threat of illegal data concealed within their digital repositories. This proliferation of illegal data presents a range of risks and challenges that organizations must confront.

Digital 130

Digital Data Governance Data Quality Data Architecture 130

Dataversity

FEBRUARY 6, 2023

Organizations seeking responsive and sustainable solutions to their growing data challenges increasingly lean on architectural approaches such as data mesh to deliver information quickly and efficiently.

Master Data Management 130

Master Data Management Data Architecture Data Quality Data Management 130

Dataversity

JANUARY 14, 2021

To date, many organizations have focused on formalizing data consumption practices through distribution technology, access-based delivery mechanisms for analytics, and AI functions. However, with data protection laws and positive awareness across the world, firms have extended the formalization to data collection management.

Data Governance 204

Data Governance Government Digital Data Quality 204

The Data Administration Newsletter

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.

Innovation 97

Innovation Data Quality Data Governance Data Architecture 97

Dataversity

FEBRUARY 12, 2021

Data has been called the new oil. Now on a trajectory towards increased regulation, the data gushers of yore are being tamed. Data will become trackable, […]. Click to learn more about author Brian Platz.

Digital 130

Digital Master Data Management 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

The Data Administration Newsletter

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.

Data Governance 94

Data Governance Data Quality Data Architecture Government 94

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

Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization. What Is Informatica?

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization. What Is Informatica?

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 2, 2022

Healthcare data migration involves moving health care data from existing applications and systems, including electronic health record (EHR) systems, to a new destination. Medical data can come from a myriad of sources, including but not limited to: Patient records and healthcare data, comprising demographic and clinical information.

Healthcare 52

Healthcare Documentation Data Quality Data Architecture 52

The Data Administration Newsletter

JANUARY 19, 2021

How many times, when you were a kid, did a thunderstorm cause an immediate mix of emotions: the fear of the continuous boom of the thunder as the clouds rolled in, the calming sensation of the smell of freshwater in the breeze and wind, and the awe and wonder as the lighting streaked through the […].

Data Quality 52

Data Quality Data Architecture Data Governance Data Management 52

Tableau

SEPTEMBER 23, 2021

Data privacy policy: We all have sensitive data—we need policy and guidelines if and when users access and share sensitive data. Data quality: Gone are the days of “data is data, and we just need more.” Now, data quality matters. Data modeling. Data migration .

Data Governance 89

Data Governance Government Data Quality Change Management 89

Tableau

SEPTEMBER 23, 2021

Data privacy policy: We all have sensitive data—we need policy and guidelines if and when users access and share sensitive data. Data quality: Gone are the days of “data is data, and we just need more.” Now, data quality matters. Data modeling. Data migration .

Data Governance 77

Data Governance Government Data Quality Change Management 77

Astera

OCTOBER 27, 2023

The “cloud” part means that instead of managing physical servers and infrastructure, everything happens in the cloud environment—offsite servers take care of the heavy lifting, and you can access your data and analytics tools over the internet without the need for downloading or setting up any software or applications.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

JANUARY 12, 2024

Data volume continues to soar, growing at an annual rate of 19.2%. This means organizations must look for ways to efficiently manage and leverage this wealth of information for valuable insights. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52