DataKitchen

SEPTEMBER 18, 2024

A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. 73% of data practitioners do not trust their data (IDC).

Scorecard 177

Scorecard Data Quality Measurement Testing 177

Cloudera

JULY 17, 2023

What We’ve Covered Throughout the One Big Cluster Stuck series we’ve explored impactful best practices to gain control of your Cloudera Data platform (CDP) environment and significantly improve its health and performance. Data Quality & Data Governance Extensibility Like data standardization this goes to the heart of trusted data.

Scorecard 69

Scorecard Measurement Dashboards Data-driven 69

AWS Big Data

JUNE 14, 2023

This dashboard helps our operations team and end customers improve the data quality of key attribution and reduce manual intervention. The QuickSight usage-based pricing model makes sure that we can provide analytics and insights to all users without the need to pay ahead for user-specific licenses.

Dashboards 104

Dashboards KPI Scorecard Metadata 104

Peter James Thomas

AUGUST 12, 2018

However, often the biggest stumbling block is a human one, getting people to buy in to the idea that the care and attention they pay to data capture will pay dividends later in the process. These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

FineReport

APRIL 26, 2023

For example, a computer manufacturing company could develop new models or add features to products that are in high demand. E-commerce giants like Alibaba and Amazon extensively use big data to understand the market. ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Jet Global

SEPTEMBER 1, 2023

Data-Driven Decision Making: Embedded predictive analytics empowers the development team to make informed decisions based on data insights. By integrating predictive models directly into the application, developers can provide real-time recommendations, forecasts, or insights to end-users.

Predictive Analytics 52

Predictive Analytics Risk Analytics Data-driven 52

David Menninger's Analyst Perspectives

JANUARY 29, 2025

This inventory can be used by data administrators and data engineers to discover, manage and optimize the data while also providing insights on data usage, data lineage and data quality, as well as security and access control.

Metadata 147

Metadata Data Governance Data Quality Scorecard 147