Cloudera

FEBRUARY 15, 2024

Improved data accessibility: By providing self-service data access and analytics, modern data architecture empowers business users and data analysts to analyze and visualize data, enabling faster decision-making and response to regulatory requirements.

Insurance 86

Insurance Data Architecture Risk Management Risk 86

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

erwin

JULY 17, 2019

Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy. Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Ontotext

AUGUST 4, 2023

After all, when businesses lack domain context, and unified semantics hinder data usage within the organization, a data fabric approach can be a game-changer. Major goals of data fabric include: Create smart semantic data integration and engineering: with governed access to improve findability and comprehensibility of data.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Alation

APRIL 14, 2023

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco. Practitioners and hands-on data users were thrilled to be there, and many connected as they shared their progress on their own data stack journeys.

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

Alation

DECEMBER 8, 2022

Data integrity and quality. Data governance fuels key use cases, including data discovery, privacy, compliance, and quality. Extended use cases — which buyers also look to address but are less commonly addressed by data governance solutions — include: Data democratization. Subscribe to Alation's Blog.

Data Governance 52

Data Governance Data-driven Strategy Reporting 52

Cloudera

AUGUST 21, 2021

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.

Data-driven 101

Data-driven Digital Transformation Risk Risk Management 101