CIO Business Intelligence

DECEMBER 11, 2024

More than 20 years ago, data within organizations was like scattered rocks on early Earth. It was not alive because the business knowledge required to turn data into value was confined to individuals minds, Excel sheets or lost in analog signals. Implementing ML capabilities can help find the right thresholds.

Management 111

Management Data Governance Data Science Reporting 111

AWS Big Data

JANUARY 15, 2025

Need for a data mesh architecture Because entities in the EUROGATE group generate vast amounts of data from various sourcesacross departments, locations, and technologiesthe traditional centralized data architecture struggles to keep up with the demands for real-time insights, agility, and scalability.

IoT 111

IoT Machine Learning Metadata Data-driven 111

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

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. Enterprise Data Management Methodology : DG is foundational to enterprise data management.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

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

Data Virtualization

FEBRUARY 28, 2020

Too often the design of new data architectures is based on old principles: they are still very data-store-centric. They consist of many physical data stores in which data is stored repeatedly and redundantly. Over time, new types of data stores,

Data Architecture 52

Data Architecture Data Lake Digital Transformation Data Quality 52

CIO Business Intelligence

MAY 20, 2022

As global CIO, Karaboutis is the chief architect of the $20 billion British multinational’s digital transformation in the UK as well as in New York and New England. Modernizing a utility’s data architecture. We’re very mature in our data architecture and what we want. It’s getting close.”.

IT 105

IT Internet of Things Digital Transformation Data Architecture 105

erwin

DECEMBER 12, 2019

As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Quicker Project Delivery: Accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc., by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

CIO Business Intelligence

APRIL 29, 2022

Data Security: Achieving authentication, access control, and encryption without negatively impacting productivity. Data Ingestion and Processing: Ensuring that data quality, streaming, and transformation capabilities support your decision-making needs. Contact HPE to learn more. __. About Ian Jagger.

Digital Transformation 132

Digital Transformation Data-driven Strategy Data Strategy 132

CIO Business Intelligence

APRIL 24, 2025

Swedish railways are in urgent need of upgrading. According to the Swedish Transport Administration, the maintenance debt is over $9.5 But by 2037, up to 15% of the maintenance backlog is estimated to be remedied, according to current estimates. At the same time, though, train travel is steadily increasing.

IT 71

IT Consulting Optimization IoT 71

Cloudera

JULY 29, 2024

Management involves utilizing tools to easily connect publishing and subscribing applications, ensure data quality, route data, and monitor health and performance as streams scale.

Enterprise 69

Enterprise Data Architecture Manufacturing Key Performance Indicator 69

erwin

DECEMBER 12, 2019

As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Quicker Project Delivery: Accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc., by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

BI-Survey

DECEMBER 22, 2020

Enterprises need a “NEW DEAL” between data producers and data consumers that effectively addresses the top three challenges to improving data handling – time spent, a lack of transparency of data value and insufficient data quality. Individuals adapt to the corporate system.

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

IBM Big Data Hub

DECEMBER 4, 2023

For organizations embarking on a digital transformation , it’s crucial to visualize how an ERP system will integrate with every aspect of a business’ operations. During configuration, an organization constructs its data architecture and defines user roles.

Testing 71

Testing Consulting Digital Transformation Cost-Benefit 71

Ontotext

DECEMBER 1, 2023

Most organisations are missing this ability to connect all the data together. from Q&A with Tim Berners-Lee ) Finally, Sumit highlighted the importance of knowledge graphs to advance semantic data architecture models that allow unified data access and empower flexible data integration.

Metadata 78

Metadata Sales Machine Learning Consulting 78

IBM Big Data Hub

JANUARY 17, 2023

As part of a data fabric, IBM’s data integration capability creates a roadmap that helps organizations connect data from disparate data sources, build data pipelines, remediate data issues, enrich data quality, and deliver integrated data to multicloud platforms.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

Ontotext

FEBRUARY 26, 2024

This happenstance approach may eventually get organizations to a reasonable data maturity level but at massive costs. Until C-level executives start to take graph technologies more seriously, they will struggle to deliver on the promises of their digital transformations and become data-driven.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

CIO Business Intelligence

APRIL 23, 2025

Maintaining legacy systems can consume a substantial share of IT budgets up to 70% according to some analyses diverting resources that could otherwise be invested in innovation and digital transformation. Step 3: Data governance Maintain data quality. This minimizes errors and keeps your data trustworthy.

Insurance 109

Insurance Digital Transformation Data Quality Data Lake 109