erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Alation

DECEMBER 15, 2022

March 2015: Alation emerges from stealth mode to launch the first official data catalog to empower people in enterprises to easily find, understand, govern and use data for informed decision making that supports the business. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

Data Virtualization

OCTOBER 5, 2022

For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

Data Lake 52

Data Lake Data Architecture Data Integration Management 52

Jet Global

MARCH 25, 2020

Many of them are in the middle of digital transformations affecting their systems and environments. Considering the complexity of table structures and JD Edwards data, you will find very quickly that One View Reporting or Oracle reporting tools force you to seek the help of JD Edwards data experts or your IT team to step in.

Reporting 45

Reporting Finance Sales Visualization 45

BI-Survey

NOVEMBER 23, 2021

However, the operational data stored in data silos was not suitable for this task. Many companies therefore built a data warehouse to consolidate their operational data silos. Data-based insights are being used to automate decisions. Data black holes: the high cost of supposed flexibility.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

Data Virtualization

OCTOBER 7, 2021

The post Rapidly Enable Tangible Business Value through Data Virtualization (Data minimization) appeared first on Data Virtualization blog. Uber owns no fleet, and Airbnb owns no real estate.

Digital Transformation 52

Digital Transformation Data Lake Data Warehouse Data Integration 52

Data Virtualization

APRIL 30, 2020

We are in the midst of a significant transformation in each and every sphere of business. The way products are getting manufactured is being transformed with automation, robotics, and. We are witnessing an Industrial 4.0 revolution across the industrial sectors.

Manufacturing 52

Manufacturing Digital Transformation Optimization Data Warehouse 52

erwin

FEBRUARY 19, 2021

It harvests metadata from various data sources and maps any data element from source to target and harmonize data integration across platforms. With this accurate picture of your metadata landscape, you can accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Sisense

JULY 22, 2020

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 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 120

Metadata Data Warehouse Data Integration Business Intelligence 120

Jedox

MARCH 11, 2021

A data silo typically consists of stored data that is not available to the entire organization, but only to some parts of it, such as departments, teams, or even individual employees, and is thus siloed within the organization. They are contrary to the approach of a data warehouse. So that’s it? No, not yet.

Sales 80

Sales Optimization Digital Transformation Data Warehouse 80

Ontotext

FEBRUARY 26, 2024

Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

CIO Business Intelligence

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever.

Data Warehouse 142

Data Warehouse Digital Transformation Reporting Data-driven 142

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

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 65

Data Architecture Data Lake Machine Learning Data Governance 65

Sisense

MAY 21, 2020

Moving data into the cloud, driving innovation. Hasbe’s focus areas include data integration, warehousing and management, and BI and analytics platforms. One of Google Cloud ’s 2020 priorities centers around migration to the cloud.

Digital Transformation 98

Digital Transformation Cost-Benefit Uncertainty Software 98

CIO Business Intelligence

AUGUST 3, 2022

The challenge for CIOs who want to improve their company’s analytics capabilities is a familiar one: data integrity versus innovation. “In In IT, we have traditionally focused on protecting the single source of truth, but our business functions want to experiment with the data,” says Deepak Kaul, CIO of Zebra Technologies. “In

Finance 145

Finance IoT Digital Transformation Sales 145

Alation

JANUARY 27, 2022

As an organization embraces digital transformation , more data is available to inform decisions. To use that data, decision-makers across the company will need to have access. Creating a single view of any data, however, requires the integration of data from disparate sources.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Jet Global

FEBRUARY 20, 2024

As inflation and possible economic stagnation continue to be at the forefront of business leaders’ minds, implementing a digital transformation strategy is a growing way to combat those concerns. 80% of data scientists say they spend 60-80% of their time on data integration instead of actual analysis.

Operational Reporting 52

Operational Reporting Reporting Digital Transformation Optimization 52

Jet Global

AUGUST 24, 2022

On the contrary, 88 percent of finance leaders are satisfied with the relationship they have with IT, understanding that collaboration with IT is necessary to jump some of the hurdles that have been placed in their path to digital transformation. Data limitations and inaccuracies (33 percent).

Reporting 52

Reporting IT Finance Operational Reporting 52

Jet Global

NOVEMBER 7, 2023

Now, as we head into 2024, CFOs continue to seek balance and efficiency through digital transformation. Meanwhile, Robert Half recruitment data shows that nearly 90% of hiring managers are having a hard time finding skilled talent to join their finance teams.

Finance 52

Finance Uncertainty Reporting Marketing 52

Jet Global

MAY 18, 2022

With all things data moving to the cloud, thus another advancement brought about by the digital transformation, the need for organizations to upgrade their processes is constant. Composable data and analytics are the quick and easy path to building analytics applications. Why Composable Analytics Matter.

Analytics 52

Analytics Reporting Software Enterprise 52

Jet Global

FEBRUARY 23, 2024

PIM’s data integration tools also enable you to blend PIM data with other data sources such as Google Analytics and financial data to provide actionable insights into your product performance.

Management 52

Management Sales Publishing Data Quality 52