erwin

JANUARY 17, 2020

According to a 2018 survey by Tech Pro Research , 70 percent of survey respondents said their companies either have a digital transformation strategy in place or are working on one. And 60% of companies that have undertaken digital transformation have created new business models. The Advantages of NoSQL Data Modeling.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

CIO Business Intelligence

APRIL 27, 2022

All are ideally qualified to help their customers achieve and maintain the highest standards for data integrity, including absolute control over data access, transparency and visibility into the provider’s operation, the knowledge that their information is managed appropriately, and access to VMware’s growing ecosystem of sovereign cloud solutions.

Digital Transformation 112

Digital Transformation Metadata Risk Management 112

erwin

MAY 14, 2021

Due to the prevalence of internal and external market disruptors, many organizations are aligning their digital transformation and cloud migration efforts with other strategic requirements (e.g., compliance with the General Data Protection Regulation).

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). erwin Data Intelligence by Quest combines data catalog and data literacy capabilities for enterprise-wide visibility of available data assets, guidance on their use, and guardrails to ensure data policies and best data practices are followed.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

CIO Business Intelligence

JANUARY 9, 2024

He and his team have created information decks, documents, and presentations that describe the various types of AI and how they can be used and explain how and where AI and machine learning may be useful — and why it’s not the solution to all the problems they have.

IT 140

IT Risk Cost-Benefit Enterprise 140

Ontotext

APRIL 6, 2023

It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. and other technologies for digital transformation of manufacturing systems.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Alation

FEBRUARY 13, 2020

And, Dresner found that the largest organizations (more than 10,000 employees) struggle the most with finding relevant data. The study concludes that larger organizations have greater complexity and requirements for data integration, cataloging, and governance.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

Ontotext

OCTOBER 28, 2021

However, although some ontologies or domain models are available in RDF/OWL, many of the original datasets that we have integrated into Ontotext’s Life Sciences and Healthcare Data Inventory are not. Additionally the level of standardization, integration and normalization in these datasets is of varying quality.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

BI-Survey

NOVEMBER 23, 2021

The transactional data was stored in isolated data sets and initially served only one purpose, namely, to document the transaction that had taken place. Over time, enterprises realized that data is worth more. Identify how you can optimize central data provisioning processes to increase the usability of the data provided.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

erwin

FEBRUARY 19, 2021

Automated enterprise metadata management provides greater accuracy and up to 70 percent acceleration in project delivery for data movement and/or deployment projects. It harvests metadata from various data sources and maps any data element from source to target and harmonize data integration across platforms.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

IBM Big Data Hub

NOVEMBER 10, 2023

Ring 3 uses the capabilities of Ring 1 and Ring 2, including the data integration capabilities of the platform for terminology standardization and person matching. The introduction of Generative AI offers to take this solution pattern a notch further, particularly with its ability to better handle unstructured data.

Cost-Benefit 105

Cost-Benefit Insurance Consulting Unstructured Data 105

O'Reilly on Data

OCTOBER 11, 2022

We’ll see it in the processing of the thousands of documents businesses handle every day. So from the start, we have a data integration problem compounded with a compliance problem. Data integration problems aren’t pretty; they’re boring, uninteresting, the “killing field of any modeling project,” as Lorien Pratt has said.

Data Integration 291

Data Integration Insurance Dashboards Modeling 291

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

IBM Big Data Hub

OCTOBER 20, 2023

Summary generator: AI platforms can also transform dense text into a high-quality summary, capturing key points from financial reports, meeting transcriptions and more. Data extraction: Platform capabilities help sort through complex details and quickly pull the necessary information from large documents.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

Ontotext

JUNE 3, 2020

By promoting a method of representation using a contextual data framework (one which provides the context in which a thing, place, person, group, event or period is recorded), rather than using existing documentation standards, a richer semantic representation could be used more relevant to a wider range of audiences and users.

Contextual Data 98

Contextual Data Metadata Digital Transformation Technology 98

Jedox

MARCH 11, 2021

No matter what department or function you work in: It’s pretty likely that your work generates data on a daily basis. This could be Excel spreadsheets with numerical values and formulas, Word documents containing text, or PowerPoint presentations with information on slides. 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 Data-driven Reporting 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

CIO Business Intelligence

JULY 6, 2023

Classic examples are the use of AI to capture and convert semi-structured documents such as purchase orders and invoices, Fleming says. We’re equipping this tool with a private ‘knowledge base’ of AT&T-specific data, with chat enabled to get answers directly from these internal AT&T documents and materials.”

Cost-Benefit 120

Cost-Benefit Technology Unstructured Data Testing 120

CIO Business Intelligence

APRIL 12, 2022

NTT Data adds Vectorform to service portfolio. Global IT services giant NTT Data has bought another sliver of market share and added some new capabilities with its acquisition of Vectorform, an 80-person digital transformation consultancy based in Detroit. Celonis buys Process Analytics Factory. Precisely buys PlaceIQ.

Enterprise 143

Enterprise Technology Consulting Software 143

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