Astera

APRIL 28, 2023

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. This is where intelligent systems come in. Serving as a unified data management solution.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Business Analysis Hub

AUGUST 22, 2023

In today's digital age, Artificial Intelligence (AI) has emerged as a game-changer for businesses worldwide. Creating a robust AI strategy is pivotal in harnessing the power of this technology to drive innovation, efficiency, and growth. Ensure data quality and governance: AI relies heavily on data.

Artificial Intelligence 52

Artificial Intelligence Monitoring Customer Experience Customer Experience 52

Astera

MAY 4, 2023

As AI technology continues to evolve and mature, its integration into business intelligence and analytics unlocks new opportunities for growth and innovation. However , a Forbes study revealed up to 84% of data can be unreliable. Luckily, AI- enabled data prep can improve data quality in several ways.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

Astera

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently. But what exactly does data integration mean?

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently. But what exactly does data integration mean?

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

MAY 9, 2023

Data Quality While traditional data integration tools have been sufficient to tackle data quality issues, up till now, they can no longer handle the extent of data coming in from a myriad of sources.

Healthcare 40

Healthcare Retail Finance Data Quality 40