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

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

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

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 177

Big Data Logistics Monitoring Data Analytics 177

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

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