Dataversity

APRIL 25, 2022

If data processes are not at peak performance and efficiency, businesses are just collecting massive stores of data for no reason. Data without insight is useless, and the energy spent collecting it, is wasted. The post Solving Three Data Problems with Data Observability appeared first on DATAVERSITY.

Data Observability 52

Data Observability Data Silos Data Quality Data Governance 52

IBM Data Science in Practice

NOVEMBER 28, 2022

Insights from data gathered across business units improve business outcomes, but having heterogeneous data from disparate applications and storages makes it difficult for organizations to paint a big picture. How can organizations get a holistic view of data when it’s distributed across data silos?

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

Precisely

FEBRUARY 2, 2023

This requires access to data from across business systems when they need it. Data silos and slow batch delivery of data will not do. Stale data and inconsistencies can distort the perception of what is really happening in the business leading to uncertainty and delay.

Data Pipeline 52

Data Pipeline Data Silos Database Data Observability 52

Alation

DECEMBER 7, 2021

Alation and Soda are excited to announce a new partnership, which will bring powerful data-quality capabilities into the data catalog. Soda’s data observability platform empowers data teams to discover and collaboratively resolve data issues quickly. Unified Teams.

Data Quality 52

Data Quality Data Pipeline Data Silos Data Governance 52

Precisely

JUNE 29, 2023

We know this because when asked what steps their organizations have taken to improve the use of data for decision-making, more than half (54%) cite using technology and processes to break down data silos and improve data access.

Data Silos 52

Data Silos Data Observability Data Governance Analytics 52

Precisely

FEBRUARY 9, 2024

They’re where the world’s transactional data originates – and because that essential data can’t remain siloed, organizations are undertaking modernization initiatives to provide access to mainframe data in the cloud.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

Precisely

OCTOBER 12, 2023

This includes understanding the impact of change within one data element on the various other data elements and compliance requirements throughout the organization. Creating data observability routines to inform key users of any changes or exceptions that crop up within the data, enabling a more proactive approach to compliance.

Data Quality 64

Data Quality Data Governance ML ML 64