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

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

MARCH 11, 2024

Snowflake has restructured the data warehousing scenario with its cloud-based architecture. Businesses can easily scale their data storage and processing capabilities with this innovative approach. Seamlessly automate and orchestrate your data integration workflows, reducing manual intervention and streamlining operations.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 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

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

APRIL 29, 2024

Data profiling involves examining the data using summary statistics and distributions to understand its structure, content, and quality. Example: A retail manager analyzes a dataset of customer purchases to find average spending, most common items, and times of purchase to devise a data-driven marketing strategy.

Big Data 52

Big Data Retail Healthcare Finance 52