Dataversity

MAY 9, 2022

Data fabric is redefining enterprise data management by connecting distributed data sources, offering speedy data access, and strengthening data quality and governance. This article gives an expert outlook on the key ingredients that go into building […].

Data Quality 130

Data Quality Government Data Management Master Data Management 130

Dataversity

MARCH 21, 2022

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.

Data Warehouse 246

Data Warehouse Data Management Data Discovery Data Governance 246

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 Government Data Warehouse 52

Astera

JULY 3, 2024

What is Data Architecture? Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

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.

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The Data Administration Newsletter

DECEMBER 4, 2024

We have lots of data conferences here. I’ve taken to asking a question at these conferences: What does data quality mean for unstructured data? Over the years, I’ve seen a trend — more and more emphasis on AI. This is my version of […]

Data Quality 52

Data Quality Artificial Intelligence Data Architecture Data Management 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

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

SEPTEMBER 4, 2024

Implementing a modern, integrated data architecture can help you break down data silos, which cause C-suite decision-makers to lose 12 hours a week. Furthermore, more than 60% of organizations agree that data silos represent a significant business challenge. Discuss your data strategy with us. What Is Data Mesh?

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 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 101

Data Governance Government Data Quality Change Management 101

Dataversity

AUGUST 30, 2024

Master data lays the foundation for your supplier and customer relationships. However, teams often fail to reap the full benefits […] The post How to Win the War Against Bad Master Data appeared first on DATAVERSITY.

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Dataversity

AUGUST 19, 2024

In data management, ETL processes help transform raw data into meaningful insights. As organizations scale, manual ETL processes become inefficient and error-prone, making ETL automation not just a convenience but a necessity. Here, we explore best practices for ETL automation to ensure efficiency, accuracy, and scalability.

Data Management 130

Data Management Data Quality Data Governance Data Architecture 130

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 97

Data Governance Government Data Quality Change Management 97

Astera

JUNE 14, 2024

But now, with the data-driven culture, modern enterprises are adopting an agile approach toward data governance that primarily centers around data accessibility and empowering business users to take responsibility for governing and managing data. Adjusting policies based on feedback and performance data.

Data Governance 52

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Astera

AUGUST 13, 2024

After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards. What is Data-First Modernization? It aligns data with the requirements of modern data systems and applications.

Data Governance 52

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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

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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.

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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

Astera

MAY 22, 2024

Building a solid data governance framework involves several key pillars. These pillars include; establishing data quality standards, integrating data from various sources, prioritizing data privacy and security, and defining a clear data architecture.

Data Governance 52

Data Governance Government Data Discovery Data Security 52

Astera

NOVEMBER 16, 2022

The 2022 Global Hybrid Cloud Trends Report by Cisco shows that 82% of organizations have adopted the hybrid cloud, which isn’t surprising given the growing popularity of hybrid data architectures among modern IT professionals. Understand and assess potential data quality challenges in a hybrid cloud environment.

Data Architecture 52

Data Architecture Data Quality Data Warehouse Data Governance 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

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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.

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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

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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 Data Management 52

Astera

JUNE 4, 2024

Lineage Tracking to Understand Data Origin and Flow A data catalog tracks the origin of each data set, its transformations, and its flow throughout various systems. This feature is valuable for understanding data dependencies and ensuring data quality across the entire data lifecycle.

Data Governance 52

Data Governance Government Data Discovery Data Quality 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 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

Dataversity

JUNE 20, 2024

Information about customers is likely scattered across an assortment of applications and devices ranging from your customer relationship management system to logs from customer-facing applications, […] The post End the Tyranny of Disaggregated Data appeared first on DATAVERSITY. You need to find out why and fast.

Data Governance 173

Data Governance Data Quality Data Architecture Government 173

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively.

Agile 52

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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 BAWorld

SEPTEMBER 18, 2024

Data integration enables the connection of all your data sources, which helps empower more informed business decisions—an important factor in today’s competitive environment. How does data integration work? There exist various forms of data integration, each presenting its distinct advantages and disadvantages.

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

Astera

MAY 6, 2024

Best For: Businesses that require a wide range of data mining algorithms and techniques and are working directly with data inside Oracle databases. Sisense Sisense is a data analytics platform emphasizing flexibility in handling diverse data architectures. Data quality is a priority for Astera.

Data Mining 52

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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 Big Data Healthcare 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