Rocket-Powered Data Science

MARCH 20, 2023

Datasphere goes beyond the “big three” data usage end-user requirements (ease of discovery, access, and delivery) to include data orchestration (data ops and data transformations) and business data contextualization (semantics, metadata, catalog services).

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

Alation

OCTOBER 26, 2021

Because of the criticality of the data they deal with, we think that finance teams should lead the enterprise adoption of data and analytics solutions. Recent articles extol the benefits of supercharging analytics for finance departments 1. This is because accurate data is “table stakes” for finance teams.

Finance 52

Finance Data Transformation Enterprise Metrics 52

CIO Business Intelligence

APRIL 8, 2025

We also examine how centralized, hybrid and decentralized data architectures support scalable, trustworthy ecosystems. As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

datapine

SEPTEMBER 29, 2022

Competitive advantage: As mentioned in the previous points, the bottom line of being in possession of good quality data is improved performance across all areas of the organization. This person (or group of individuals) ensures that the theory behind data quality is communicated to the development team. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. Data providers and consumers are the two fundamental users of a CDH dataset. You might notice that this differs slightly from traditional ETL.

Analytics 111

Analytics Dashboards Metadata Data Warehouse 111

erwin

APRIL 16, 2024

In this blog, we’ll delve into the critical role of governance and data modeling tools in supporting a seamless data mesh implementation and explore how erwin tools can be used in that role. erwin also provides data governance, metadata management and data lineage software called erwin Data Intelligence by Quest.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Positive curation means adding items from certain domains, such as finance, legal and regulatory, cybersecurity, and sustainability, that are important for enterprise users. Increase trust in AI outcomes.

Risk 70

Risk Modeling Management Metadata 70