Dataconomy

DECEMBER 17, 2024

Project management is crucial in 2025 for any business. Businesses project planning is key to success and now they are increasingly rely on data projects to make informed decisions, enhance operations, and achieve strategic goals. Key questions to ask: What data sources are required? What are the data quality expectations?

Data Quality 91

Data Quality Power BI Data Engineering Data Engineering 91

Precisely

SEPTEMBER 11, 2023

It provides a unique ability to automate or accelerate user tasks, resulting in benefits like: improved efficiency greater productivity reduced dependence on manual labor Let’s look at AI-enabled data quality solutions as an example. Problem: “We’re unsure about the quality of our existing data and how to improve it!”

Data Quality 52

Data Quality AI AI ML 52

Dataversity

DECEMBER 16, 2020

According to IDC, the size of the global datasphere is projected to reach 163 ZB by 2025, leading to the disparate data sources in legacy systems, new system deployments, and the creation of data lakes and data warehouses. Most organizations do not utilize the entirety of the data […].

Data Warehouse 69

Data Warehouse Data Lakes Data Profiling Data Quality 69

Alation

JULY 6, 2021

As data collection and volume surges, so too does the need for data strategy. As enterprises struggle to juggle all three, data governance offers a vital framework. The world is collectively generating trillions of gigabytes of new data. And one enterprise alone can generate a world of data. No Data Leadership.

Data Governance 52

Data Governance Data Quality Data Silos Data Profiling 52