Precisely

SEPTEMBER 15, 2023

Users also need to be able to trust that data, from tracking lineage, use, and potential transformations, to confidence in the fundamental reliability and accuracy of the data itself. McKinsey research found that poor data quality and availability can cause employees to spend a significant amount of time on non-value-added tasks.

Data Governance 52

Data Governance Data Quality Machine Learning Machine Learning 52

IBM Data Science in Practice

JUNE 10, 2024

Computational Costs : Analyzing vast and complex genomic data requires substantial computational resources, making it expensive and time-consuming. Data Quality : Ensuring the accuracy and reliability of sequencing data is crucial.

AI 100

AI AI Artificial Intelligence Artificial Intelligence 100

Precisely

DECEMBER 6, 2023

By keeping backups offline, you ensure that they cannot be compromised by these threats White Paper The One Essential Guide to Disaster Recovery: How to Ensure IT and Business Continuity Best Practices for Disaster Recovery to Ensure IT and Business Continuity. Learn more in our white paper.

Database 52

Database Data Quality 52

Alation

MAY 17, 2022

From that sample, analysts can glean a better sense of the state of the data, how it’s structured, and how they might work with it. Beyond sampling, analysts must take care to validate data in other ways. Many data catalogs provide data quality information, either natively or through partnership with a dedicated data quality tool.

Data Analyst 52

Data Analyst Data Quality Machine Learning Machine Learning 52

Precisely

JULY 20, 2023

Speed to keep up with an accelerating business environment and gain or maintain a competitive edge Improved data quality and integrity – particularly for SAP master data. When you set out to improve data quality and integrity, it’s critical to keep in mind the interdependence of process and data.

Data Quality 40

Data Quality 40

Alation

JANUARY 13, 2022

In fact, data intelligence technologies support building a data fabric and realizing a data mesh. Let’s turn our attention now to data mesh. Responsibilities are distributed to the people who are closest to the data. New to data catalogs? Stay tuned for this blog early in 2022!

Data Lakes 59

Data Lakes Data Governance Data Quality Data Warehouse 59

Alation

JANUARY 25, 2022

Indeed, the foundation of your data architecture and strategy – and thus your business strategy – begins with choosing the best data catalog to support your business. But how do you go about selecting the right data catalog? These two resources can help you get started: White paper: How to Evaluate a Data Catalog.

DataOps 52

DataOps SQL ML ML 52

Snorkel AI

APRIL 25, 2023

If we believe that, yes, we want to actually benchmark the data, the next question becomes: what exactly do we want to do? Fundamentally, there are only three really primary pillars in the context of measuring data quality. First is how good is your training data? Second is how good is your test set data?

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

APRIL 25, 2023

If we believe that, yes, we want to actually benchmark the data, the next question becomes: what exactly do we want to do? Fundamentally, there are only three really primary pillars in the context of measuring data quality. First is how good is your training data? Second is how good is your test set data?

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Precisely

FEBRUARY 23, 2024

Companies that lack well-defined processes and supporting technology are dependent on internal staff to manage data quality as best they can. Only 26% regard this tactic to be highly effective, whereas more than 40% indicate a strong preference for automated systems and scalable data validation tools.

Data Quality 64

Data Quality Analytics Analytics Data Governance 64

Precisely

MAY 1, 2025

My first path centered on data strategy and management, teaching me that trusted data delivers great business outcomes. As a data management practitioner, I built and scaled data quality, master data management, and data governance solutions for a variety of organizations.

Data Governance 69

Data Governance Analytics Analytics Data Quality 69