Smart Data Collective

OCTOBER 11, 2019

There are a lot of ways that organizations can leverage big data. Most of them don’t have difficulty collecting the data they need to make more informed decisions. However, they often struggle to conceptualize the data and present it in a format that supports their conclusions. But how can managers use them effectively?

Big Data 259

Big Data Monitoring Visualization Data Automation 259

Domo

MARCH 17, 2017

Domo was also invited to be part of the future session panel, discussing ways executives can navigate the next decade as brand ambitions flourish alongside advances in big data, automation, real-time analytics, artificial intelligence and personalization.

Artificial Intelligence 52

Artificial Intelligence Master Data Management Government Big Data 52

Astera

MAY 9, 2023

Automated data processing solutions, such as computer software programming, play a significant role in this. It can help turn large amounts of data, including big data, into meaningful insights for quality management and decision-making. Interested in Learning More About Cloud Data Integration?

Data Warehouse 52

Data Warehouse Big Data Innovation Cloud Computing 52

Astera

NOVEMBER 28, 2022

Does that mean it’s the end of data warehousing? Data warehouses will play a crucial role in data management — perhaps more than ever. Here are the rising trends that will shape the future of data warehousing. Data Warehousing Development Will Be Decoded. Data Warehousing Will Be More Automation-Based.

Data Warehouse 52

Data Warehouse Data Modelling Data Management Big Data 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

OCTOBER 10, 2023

Managing data effectively is a multi-layered activity—you must carefully locate it, consolidate it, and clean it to make it usable. One of the first steps in the data management cycle is data mapping. Data mapping is the process of defining how data elements in one system or format correspond to those in another.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Quality 52