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

CIO Business Intelligence

APRIL 29, 2022

Despite soundings on this from leading thinkers such as Andrew Ng , the AI community remains largely oblivious to the important data management capabilities, practices, and – importantly – the tools that ensure the success of AI development and deployment. Further, data management activities don’t end once the AI model has been developed.

Data Governance 145

Data Governance IT Data Lake Risk 145

CIO Business Intelligence

MAY 30, 2024

She then led the digital transformation of Schneider Electric, a global Fortune 100 energy management company. Most recently, she has served as EVP and chief customer and technology officer at Ameren, which she joined 2018 as SVP and chief digital and information officer before adding customer experience and operations in 2023.

Data Quality 104

Data Quality Key Performance Indicator Digital Transformation Management 104

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

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Ontotext

FEBRUARY 19, 2020

Paradoxically, even without a shared definition and common methodology, the knowledge graph (and its discourse) has steadily settled in the discussion about data management, data integration and enterprise digital transformation. Clean your data to ensure data quality.

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

Andrew White

DECEMBER 4, 2019

I argued that one vendors’ book on data quality was really about data governance; I argued that another vendors’ marketing message was totally upside down; and I argued that some approaches to achieving single source of truth were different from traditional approaches. See Salesforce acquisition of Tableau – What does it mean?

Digital Transformation 64

Digital Transformation Data Quality Data Integration Data Warehouse 64

CIO Business Intelligence

JANUARY 9, 2024

Can the current state of our data operations deliver the results we seek? Another tough topic that CIOs are having to surface to their colleagues: how problems with enterprise data quality stymie their AI ambitions. 1 among the top three risks — followed by statistical validity and model accuracy.

IT 140

IT Risk Cost-Benefit Machine Learning 140

Grooper

MARCH 5, 2020

These stewards monitor the input and output of data integrations and workflows to ensure data quality. Their focus is on master data management , data lakes / warehouses, and ensuring the trackability of data using audit trails and metadata. How to Get Started with Information Stewardship.

Data Lake 98

Data Lake Metadata Data Quality Software 98

IBM Big Data Hub

JANUARY 17, 2023

This capability will provide data users with visibility into origin, transformations, and destination of data as it is used to build products. The result is more useful data for decision-making, less hassle and better compliance. Data integration. Start a trial.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

CIO Business Intelligence

SEPTEMBER 2, 2022

Software engineers are at the forefront of digital transformation in the financial services industry by helping companies automate processes, release scalable applications, and keep on top of emerging technology trends.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

Software engineers are at the forefront of digital transformation in the financial services industry by helping companies automate processes, release scalable applications, and keep on top of emerging technology trends.

Finance 98

Finance IT Software Reporting 98

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

Alation

FEBRUARY 13, 2020

In the latest IDC Innovators: Data Intelligence Software Platforms, 2019 3 report, Alation was profiled as one vendor disrupting the data integration and integrity software market with a differentiated data intelligence software platform.

Machine Learning 52

Machine Learning Big Data Data Governance Metadata 52

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Machine Learning Consulting 78

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

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

AWS Big Data

SEPTEMBER 12, 2024

We’re also happy to share the technical asset presented in this post to help you get started building generative AI applications with your data for your specific use case. He brings more than 15 years of experience in designing and delivering Digital Transformation projects for enterprises. Angel Conde Manjon is a Sr.

Management 85

Management Analytics Data Lake Interactive 85

erwin

SEPTEMBER 15, 2022

“Building Data Trust through Data Quality, Literacy and Governance”. Stewart Bond from IDC will talk on the first day of Quest EMPOWER 2022 about how important it is to build trust in data and how IT and data governance teams can best focus their efforts to do so.

Data Governance 52

Data Governance Consulting Data-driven Digital Transformation 52

Ontotext

MAY 16, 2024

For companies who are ready to make the leap from being applications-centric to data-centric – and for companies that have successfully deployed single-purpose graphs in business silos – the CoE can become the foundation for ensuring data quality, interoperability and reusability.

Enterprise 52

Enterprise Data-driven Cost-Benefit Business Objectives 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

NOVEMBER 25, 2020

In recent years, we have seen wide adoption of data analytics. Some issues that have been most often cited for this include: Poor data quality: While preparing. However, most organizations continue to find it challenging to quickly yield actionable insights.

Data Analytics 52

Data Analytics Analytics Data Quality Digital Transformation 52

TDAN

SEPTEMBER 19, 2023

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

Data Governance 81

Data Governance IT Strategy Management 81

Alation

OCTOBER 28, 2021

Data & analytics represents a major opportunity to tackle these challenges. Indeed, many healthcare organizations today are embracing digital transformation and using data to enhance operations. In other words, they use data to heal more people and save more lives. Remove Low Quality, Unused, or “Stale” Data.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

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

Jet Global

FEBRUARY 23, 2024

A Centralized Hub for Data Data silos are the number one inhibitor to commerce success regardless of your business model. Through effective workflow, data quality, and governance tools, a PIM ensures that disparate content is transformed into a company-wide strategic asset.

Management 52

Management Sales Publishing Data Quality 52

CIO Business Intelligence

NOVEMBER 25, 2024

“Today’s CIOs inherit highly customized ERPs and struggle to lead change management efforts, especially with systems that [are the] backbone of all the enterprise’s operations,” wrote Isaac Sacolick, founder and president of StarCIO, a digital transformation consultancy, in a recent blog post.

Digital Transformation 131

Digital Transformation Data Warehouse Data Governance Enterprise 131

CIO Business Intelligence

JANUARY 16, 2025

As IT professionals and business decision-makers, weve routinely used the term digital transformation for well over a decade now to describe a portfolio of enterprise initiatives that somehow magically enable strategic business capabilities. Ultimately, the intent, however, is generally at odds with measurably useful outcomes.

Enterprise 105

Enterprise Digital Transformation Scorecard Interactive 105

CIO Business Intelligence

MARCH 27, 2025

The consequences of getting identity wrong are substantial: Poor data quality = missed insights, operational inefficiencies, and wasted marketing spend. Slow digital adoption = inability to activate customer data reliably at scale. We share three common mistakes that hinder data strategies and how they can be fixed.

Data Strategy 71

Data Strategy Strategy Digital Transformation Data-driven 71

CIO Business Intelligence

JANUARY 30, 2025

In 2025, data management is no longer a backend operation. As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. It has become a strategic cornerstone for shaping innovation, efficiency and compliance.

Management 113

Management Data-driven Data Governance Unstructured Data 113

CIO Business Intelligence

OCTOBER 23, 2024

“We moved onto the AWS tech stack with both structured and unstructured data.” Getting data out of legacy systems and into a modern lake house was key to being able to build AI. “If If you have data or data integrity issues, you’re not going to get great results,” he says.

Cost-Benefit 136

Cost-Benefit Enterprise Testing Consulting 136

Ontotext

AUGUST 21, 2024

Benefit of a Graph CoE For companies that are ready to make the leap from being applications centric to data centric—and for companies that have successfully deployed graphs in business silos—the CoE becomes the foundation for ensuring data quality and reusability across the organization.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52