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. What are Information Marts?

Agile 52

Agile Data Warehouse Data Quality Government 52

Dataversity

MAY 16, 2022

In the context of a large system integration project, we are talking about awareness of: 1) Data Quality expectations and metrics, 2) Enterprise Data Management plan, 3) Data Governance best practices, 4) data risk factors, 5) Data Governance framework, 6) data owners/data consumers, 7) Data Architecture principles, 8) […].

Data Governance 130

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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

Astera

MAY 22, 2024

What is Data Governance Data governance covers processes, roles, policies, standards, and metrics that help an organization achieve its goals by ensuring the effective and efficient use of information. It sets up the processes and responsibilities necessary to maintain the data’s quality and security across the business.

Data Governance 52

Data Governance Government Data Discovery Data Security 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

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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

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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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. Here are some key benefits of hybrid cloud integration: Ownership of Data. Data Quality.

Data Architecture 52

Data Architecture Data Quality Data Warehouse 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. Users can use the business keys to query information about a hub.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Astera

MAY 6, 2024

What Is Data Mining? Data mining , also known as Knowledge Discovery in Data (KDD), is a powerful technique that analyzes and unlocks hidden insights from vast amounts of information and datasets. Sisense Sisense is a data analytics platform emphasizing flexibility in handling diverse data architectures.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

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, Understanding the Difference: Data Vault 1.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

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 Governance Data Discovery 246

Astera

FEBRUARY 14, 2024

For example, you may need to standardize address information if it’s in a different format. 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.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Quality 52

Astera

MAY 31, 2024

Here are the critical components of data science: Data Collection : Accumulating data from diverse sources like databases, APIs , and web scraping. Data Cleaning and Preprocessing : Ensuring data quality by managing missing values, eliminating duplicates, normalizing data, and preparing it for analysis.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

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

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

An effective data migration execution aids healthcare data management and enables healthcare organizations to improve patient care, reduce costs and make informed business decisions based on data insights. Modernizing Data Systems: Data architecture modernization is the most common reason for data migration.

Healthcare 52

Healthcare Documentation Data Quality Data Architecture 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 91

Data Governance Government Data Quality Change Management 91

Sisense

AUGUST 28, 2020

However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. In this article, we’ll dig into the core aspects of data integrity, what processes ensure it, and how to deal with data that doesn’t meet your standards.

Data Quality 101

Data Quality Data Security Data Architecture Agile 101

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

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 79

Data Governance Government Data Quality Change Management 79

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

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

Astera

JUNE 6, 2023

By doing so, they facilitate easy access to analysis and informed decision-making. As the volume and complexity of data continue to rise, effective management and processing become essential. The pipeline includes stages such as data ingestion, extraction, transformation, validation, storage, analysis, and delivery.

Data Warehouse 52

Data Warehouse Monitoring Real-time Data Documentation 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. Database Specialist.

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Chief Data Officer Finance Data Modelling Visualization 97

Astera

DECEMBER 21, 2022

Fortunately for forward-thinking organizations, cloud data warehousing solves many of these problems and makes leveraging insights quick and easy. This blog post will give you all the information you need about cloud data warehousing and its benefit for your business. What is a Cloud Data Warehouse?

Data Warehouse 52

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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

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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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