Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

CIO Business Intelligence

JULY 28, 2023

A decentralized approach to data management Data mesh addresses the complexities of scaling data and analytics in a large organization, providing a distributed architecture for data management. It also helps to overcome the challenges of shadow data, which enterprise security policies do not recognize or cover.

Risk 98

Risk Management Cost-Benefit Data mining 98

CDW Research Hub

OCTOBER 12, 2021

As organizations grow and evolve, many find a need for more sophisticated analytics across an ever-increasing amount of digital and consumer data. But most legacy data architectures do not have a unified data model, and they are hard-wired toward specific BI tools that do not support self-service analytics.

Data Warehouse 52

Data Warehouse Big Data Data Architecture Cost-Benefit 52

Alation

JANUARY 25, 2022

Indeed, the foundation of your data architecture and strategy – and thus your business strategy – begins with choosing the best data catalog to support your business. But how do you go about selecting the right data catalog? Webinar: Five Must-Haves for a Data Catalog.

Metadata 52

Metadata IT Metrics Data-driven 52

Birst BI

OCTOBER 24, 2019

To put it simply, by setting up DaaS, Birst offers a better way to democratize data without sacrificing security, governance, and control. Click here to register for November 12 webinar, where a CIO explains how flexible and secure DaaS is delivered today with Birst. DaaS is a core component of modern data architecture.

Data Warehouse 51

Data Warehouse Recreation/Entertainment Data Lake Data Architecture 51

Alation

FEBRUARY 20, 2020

“Enterprises are… turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.”. In a recent webinar,“ Ready for a Machine Learning Data Catalog?

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

Birst BI

FEBRUARY 25, 2020

Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. agentless) Birst to Snowflake real-time connector. What gaps does the joint solution address in the market?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Cloudera

NOVEMBER 27, 2023

By democratizing access to streaming data, and bringing domain expert users into the development cycle, we help accelerate iterations on stream processing applications. This is vital when onboarding new data, or changing logic to meet evolving needs as is the case in fraud monitoring. Takeaway No.

Data Lake 78

Data Lake Advertising ROI Data Warehouse 78

Jet Global

MARCH 4, 2024

Technology teams often jump into SAP data systems expecting immediate, quantifiable ROI. However, this optimism often overlooks the reality of the situation: complex data architecture, mountains of manual tasks, and hidden inefficiencies in processing. Visions of cost savings and efficiency gains dance in their minds.

ROI 52

ROI Data Processing Reporting Software 52

Jet Global

MAY 1, 2023

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. Data Environment First off, the solutions you consider should be compatible with your current data architecture. Use in-depth show-and-tell.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52