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

As organizations steer their business strategies to become data-driven decision-making organizations, data and analytics are more crucial than ever before. How can organizations get a holistic view of data when it’s distributed across data silos? Implementing a data fabric architecture is the answer.

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

Precisely

MAY 16, 2024

Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid biases, improve accuracy and reliability, and boost contextual relevance and nuance. Adopt strategic practices in data integration, quality management, governance, spatial analytics, and data enrichment.

AI 59

AI AI AWS Data Quality 59

Precisely

FEBRUARY 2, 2023

With trend indicators shifting from traditional metrics to something new, executives need to consult analytics and dashboards much more frequently. Having the data and proper analysis to support adjustments to strategies two weeks quicker can have a significant impact on the future.

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. Testing is key to the solution.

Data Quality 52

Data Quality Data Pipeline Data Silos Data Governance 52

Precisely

JUNE 29, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Data-driven decision-making is the top goal for 77% of data programs. One major finding?

Data Silos 52

Data Silos Data Observability Data Governance Analytics 52

Precisely

FEBRUARY 9, 2024

But with data integrity, you gain more trustworthy and dependable AI results for confident data-driven decisions that help you grow the business, move quickly, reduce costs, and manage risk and compliance. Mainframe and IBM i systems remain critical parts of the modern data center and are vital to the success of these data initiatives.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69