datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

JANUARY 24, 2024

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

Data Strategy 132

Data Strategy Strategy Unstructured Data Data Governance 132

Octopai

JUNE 9, 2024

By doing so, they aimed to drive innovation, optimize operations, and enhance patient care. They invested heavily in data infrastructure and hired a talented team of data scientists and analysts. This visibility was crucial for identifying and rectifying data quality issues quickly, ensuring consistent and reliable insights.

IT 52

IT Data-driven Data Strategy Predictive Analytics 52

CIO Business Intelligence

FEBRUARY 16, 2023

But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. Digitizing was our first stake at the table in our data journey,” he says. The offensive side?

Unstructured Data 100

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 100

Alation

OCTOBER 28, 2021

Healthcare leaders face a quandary: how to use data to support innovation in a way that’s secure and compliant? Data governance in healthcare has emerged as a solution to these challenges. Uncover intelligence from data. Protect data at the source. What is Data Governance in Healthcare?

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage. With Netezza support for 1.2

Cost-Benefit 76

Cost-Benefit Metadata Optimization Management 76

Octopai

JANUARY 19, 2021

With Octopai’s support and analysis of Azure Data Factory, enterprises can now view complete end-to-end data lineage from Azure Data Factory all the way through to reporting for the first time ever. About Octopai: Octopai was founded in 2015 by BI professionals who realized the need for dynamic solutions in a stagnant market.

Metadata 52

Metadata ROI Optimization Data Quality 52