The BAWorld

SEPTEMBER 18, 2024

Data Integration Overview Data integration is actually all about combining information from multiple sources into a single and unified view for the users. This article explains what exactly data integration is and why it matters, along with detailed use cases and methods. How does data integration work?

Data Warehouse 52

Data Warehouse Finance Data Architecture Retail 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

Astera

JANUARY 18, 2024

Fivetran is a low-code/no-code ELT (Extract, load and transform) solution that allows users to extract data from multiple sources and load it into the destination of their choice, such as a data warehouse. So, in this article, we will explore some of the best alternatives to Fivetran.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Astera

MAY 6, 2024

It utilizes artificial intelligence to analyze and understand textual data. Therefore, it can help businesses extract insights from text-based sources such as social media posts, customer reviews, articles, and more. Can handle large volumes of data. Data quality is a priority for Astera.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Smart Data Collective

JUNE 19, 2019

Aligning these elements of risk management with the handling of big data requires that you establish real-time monitoring controls. However, you should position your organization to benefit from the big data through increased customer satisfaction and improved business.

Big Data 180

Big Data Logistics Monitoring Data Analytics 180

Netmind

MARCH 9, 2021

Organizations need to develop their ability to obtain and use relevant data that provides information-generation, knowledge, and, ultimately, learning for better decision-making. In this article, rather than getting into types of metrics, indicators, or specific techniques, I want to focus on how organizations can develop this capability.

Data Governance 52

Data Governance Government Data Requirement Vision 52

The Data Administration Newsletter

OCTOBER 5, 2022

Governance for Acquired Data / Selecting Sources Our next column in the series explores challenges with governing acquired data, and then we’ll introduce a framework for managing acquired data— the data acquisition lifecycle.

Government 52

Government Data Requirement Data Quality Data Governance 52

Netmind

NOVEMBER 1, 2020

Organizations need to develop their ability to obtain and use relevant data that provides information-generation, knowledge, and, ultimately, learning for better decision-making. In this article, rather than getting into types of metrics, indicators, or specific techniques, I want to focus on how organizations can develop this capability.

Data Governance 52

Data Governance Government Data Requirement Vision 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

Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144