CIO Business Intelligence

JANUARY 30, 2024

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents. There are several things you need to report attached to that number.”

Reporting 115

Reporting Data Quality Strategy Data-driven 115

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. Prior to the creation of the data lake, Orca’s data was distributed among various data silos, each owned by a different team with its own data pipelines and technology stack.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

CIO Business Intelligence

FEBRUARY 28, 2024

And not only do companies have to get all the basics in place to build for analytics and MLOps, but they also need to build new data structures and pipelines specifically for gen AI. What you have to do as a CIO is take an architectural approach and invest in a common platform.” This is imperative for us to do.”

IT 131

IT Consulting Modeling Enterprise 131

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. With a remote runtime, they can deploy ETL/ELT pipelines on both AWS and GCP, enabling seamless data integration and orchestration across multiple clouds.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 93

Data Strategy Strategy Data Warehouse Prescriptive Analytics 93

Cloudera

SEPTEMBER 7, 2023

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

Insurance 83

Insurance Risk Data-driven Finance 83

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

DECEMBER 4, 2023

During configuration, an organization constructs its data architecture and defines user roles. Specifically, to ensure the accuracy of data, organizations should test the following variables: Data archive: Make sure older data that might not have been imported to Oracle is archived securely and is easy to access.

Testing 71

Testing Consulting Digital Transformation Cost-Benefit 71

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. Most of D&A concerns and activities are done within EA in the Info/Data architecture domain/phases. Much as the analytics world shifted to augmented analytics, the same is happening in data management.

Analytics 64

Analytics Measurement Data-driven Modeling 64

CIO Business Intelligence

DECEMBER 11, 2024

Manish Limaye Pillar #1: Data platform The data platform pillar comprises tools, frameworks and processing and hosting technologies that enable an organization to process large volumes of data, both in batch and streaming modes. Implementing ML capabilities can help find the right thresholds.

Management 111

Management Data Governance Data Science Reporting 111

AWS Big Data

FEBRUARY 27, 2024

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift. Data quality framework – To ensure data reliability, they implemented a data quality framework.

Data-driven 111

Data-driven Data Lake Data Quality Data Governance 111

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. HEMA has a bespoke enterprise architecture, built around the concept of services. Tommaso is the Head of Data & Cloud Platforms at HEMA.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

erwin

APRIL 16, 2024

The data mesh framework In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the data mesh framework. This empowers individual teams to own and manage their data.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

CIO Business Intelligence

JANUARY 20, 2023

A big part of preparing data to be shared is an exercise in data normalization, says Juan Orlandini, chief architect and distinguished engineer at Insight Enterprises. Data formats and data architectures are often inconsistent, and data might even be incomplete.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135