Smart Data Collective

AUGUST 14, 2022

Data loss protection comprises three significant business objectives – personal information protection, intellectual property protection, and comprehensive data usage reports. Having any of those boosts your data security. Enterprises can store Intellectual Property data in unstructured or structured forms.

Monitoring 309

Monitoring Cybersecurity Planning Data Management 309

Sisense

OCTOBER 29, 2020

“AVs are the most advanced version of artificial intelligence (AI) that we are working on right now and require an enormous amount of data to do machine learning to improve the computer’s ability to understand the world and make decisions. Computers are the new drivers,” she said.

Artificial Intelligence 90

Artificial Intelligence Cybersecurity Data Analytics Data Analytics 90

Data Pine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Cloud Computing 95

Cloud Computing Cybersecurity Government Business Intelligence 95

Astera

DECEMBER 16, 2022

These checks will help identify duplicate values, missing fields, null values, and the overall integrity of data. Ideally, a solution should have real-time data prep functionality to ensure data quality. Challenge#6: Ensuring data security.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 16, 2022

These checks will help identify duplicate values, missing fields, null values, and the overall integrity of data. Ideally, a solution should have real-time data prep functionality to ensure data quality. Challenge#6: Ensuring data security.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

These checks will help identify duplicate values, missing fields, null values, and the overall integrity of data. Ideally, a solution should have real-time data prep functionality to ensure data quality. Challenge#6: Ensuring data security.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

JANUARY 2, 2024

Improved Data Security The repercussions of data loss and cyber threats keep organizations on their toes. This is where data management plays a vital role in protecting sensitive information. These checks will help identify duplicate values, missing fields, null values, and the overall integrity of data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52