BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. This is where data governance comes in. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

David Menninger's Analyst Perspectives

OCTOBER 8, 2024

I assert that through 2027, three-quarters of enterprises will be engaged in data intelligence initiatives to increase trust in their data by leveraging metadata to understand how, when and where data is used in their organization, and by whom.

Data Quality 130

Data Quality Data Governance Enterprise Visualization 130

DataKitchen

FEBRUARY 2, 2023

A combined, interoperable suite of tools for data team productivity, governance, and security for large and small data teams. Central IT Data Teams focus on standards, compliance, and cost reduction. ’ They are data enabling vs. value delivery. These teams are the hub, helping to enable many spokes.

Metadata 130

Metadata Testing Data Science Risk 130

AWS Big Data

JULY 29, 2024

This ensures that each change is tracked and reversible, enhancing data governance and auditability. History and versioning : Iceberg’s versioning feature captures every change in table metadata as immutable snapshots, facilitating data integrity, historical views, and rollbacks.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

Cloudera

FEBRUARY 15, 2024

By leveraging cutting-edge technology and an efficient framework for managing, analyzing, and securing data, financial institutions can streamline operations and enhance their ability to meet compliance requirements efficiently, while maintaining a strong focus on risk management.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

CIO Business Intelligence

FEBRUARY 19, 2025

Self-driving cars and AI software development One good use of synthetic data would be to train autonomous cars when they need to hit the brakes, Mostly AIs Ebert says. Synthetic data addresses data scarcity by providing a cost-effective way to generate large, diverse datasets tailored to specific needs, such as software development, he says.

Cost-Benefit 101

Cost-Benefit Modeling Software Machine Learning 101

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. This proactive stance safeguards against erroneous insights or decisions driven by flawed or incomplete datasets.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52