Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. They also address the concerns of IT teams in allowing access to organizational data. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Using bad data, or the incorrect data can generate devastating results. This leads to data bottlenecks, breadlines… and lost opportunities.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Using bad data, or the incorrect data can generate devastating results. This leads to data bottlenecks, breadlines… and lost opportunities.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

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.

Dashboards 95

Dashboards Analytics Metadata Data Warehouse 95

erwin

DECEMBER 6, 2019

Creating a Culture of Data Governance. The unprecedented levels of digital transformation , with rapidly changing and evolving technology, mean data governance is not just an option, but rather a necessity. As a foundational component of enterprise data management, DG would reside in such a group.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

Ontotext

FEBRUARY 26, 2024

However, it still requires more effort than building a single-purpose graph, like a labeled property graph (LPG), where you can whiteboard your graph model in an hour. This happenstance approach may eventually get organizations to a reasonable data maturity level but at massive costs. RDF tends to be more data and metadata -centric.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Sisense

JULY 6, 2020

Inaccurate data leads to generating unreliable insights which, in the long run, lead the business in the wrong direction. This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface. Why is this interesting?

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

IBM Big Data Hub

JANUARY 17, 2023

Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and the explosion of data volumes has resulted in complex data infrastructures for most enterprises. Data governance.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

CIO Business Intelligence

AUGUST 3, 2023

But reaching all these goals, as well as using enterprise data for generative AI to streamline the business and develop new services, requires a proper foundation. That hard, ongoing work includes integrating siloed data, modeling, and understanding it, as well as maintaining and securing it over time.

Analytics 85

Analytics Data Lake Metadata Cost-Benefit 85

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3).

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89