AWS Big Data

DECEMBER 4, 2024

With improved access and collaboration, you’ll be able to create and securely share analytics and AI artifacts and bring data and AI products to market faster. Data teams struggle to find a unified approach that enables effortless discovery, understanding, and assurance of data quality and security across various sources.

Data Analytics 85

Data Analytics Analytics Data Lake Data Quality 85

AWS Big Data

JANUARY 15, 2025

An extract, transform, and load (ETL) process using AWS Glue is triggered once a day to extract the required data and transform it into the required format and quality, following the data product principle of data mesh architectures. This process is shown in the following figure.

IoT 100

IoT Machine Learning Metadata Data-driven 100

erwin

JANUARY 3, 2020

In the year ahead, companies with the ability to harness, secure and leverage information effectively will be better equipped than others to promote digital transformation and gain a competitive advantage. Constructing a Digital Transformation Strategy. To that end, data is finally no longer just an IT issue.

Data Governance 139

Data Governance Digital Transformation IoT Metadata 139

AWS Big Data

OCTOBER 9, 2024

Additionally, it can help you identify errors in the new cloud-based extract, transform, and load (ETL) process. Some customers build custom in-house data parity frameworks to validate data during migration. Others use open source data quality products for data parity use cases.

Data Quality 95

Data Quality Data Lake Data Warehouse Metrics 95

erwin

JANUARY 30, 2020

Digital transformation and data standards/uniformity round out the top five data governance drivers, with 37 and 36 percent, respectively. Constructing a Digital Transformation Strategy: How Data Drives Digital. And close to 50 percent have deployed data catalogs and business glossaries.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

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

Octopai

AUGUST 8, 2023

This collaboration aims to revolutionize the digital transformation journey for organizations by enhancing data understanding, streamlining supply chain processes, and offering superior data-driven insights. Coupling our data experts, with this incredible solution, is a win-win for our clients.”

Digital Transformation 52

Digital Transformation Metadata Forecasting Data-driven 52

erwin

OCTOBER 29, 2020

Whether driving digital experiences, mapping customer journeys, enhancing digital operations, developing digital innovations, finding new ways to interact with customers, or building digital ecosystems or marketplaces – all of this digital transformation is powered by data.

Data Governance 105

Data Governance Metadata Digital Transformation ROI 105

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. Because data is one of the success elements of a digital agenda or digital transformation agenda.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

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. As a foundational component of enterprise data management, DG would reside in such a group.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

CIO Business Intelligence

JANUARY 15, 2024

Her team spent about a year trying to understand the information landscape, the data, and the metadata schemas. Cleared for launch Bugbee is no stranger to data management and data stewardship. She cut her teeth in the field working to improve metadata quality in Data.gov and on President Obama’s Climate Data Initiative.

Informatics 131

Informatics Metadata Data mining Digital Transformation 131

Cloudera

MARCH 3, 2022

In 2017, Anthem reported a data breach that exposed thousands of its Medicare members. The medical insurance company wasn’t hacked, but its customers’ data was compromised through a third-party vendor’s employee. 86% of Experian survey respondents’, for instance, are prioritizing moving their data to the cloud in 2022.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

erwin

APRIL 16, 2021

Or are you looking to reduce data management costs and improve data quality through formal, repeatable processes? Whatever your motivation, you need to identify it first and foremost to get a grip on data governance. used erwin Data Intelligence for its digital transformation and innovation efforts.

Data Governance 128

Data Governance Metadata Cost-Benefit Data-driven 128

Timo Elliott

JANUARY 5, 2022

They discussed how medium and small sized enterprises should handle the digital transformation, and the concrete roles of Data Protection Officers and Innovation Evangelists during this process. “We Yves: Do you think people are already fully convinced about the real added value of digital transformation?

Digital Transformation 115

Digital Transformation Machine Learning Enterprise Data Science 115

CIO Business Intelligence

SEPTEMBER 11, 2024

But here’s the real rub: Most organizations’ data stewardship practices are stuck in the pre-AI era, using outdated practices, processes, and tools that can’t meet the challenge of modern use cases. Data stewardship makes AI your superpower In the AI era, data stewards are no longer just the data quality guardians.

Data Quality 118

Data Quality Unstructured Data Metadata Data Governance 118

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

DECEMBER 21, 2022

Defined as an enabler of frictionless access of data sharing in a distributed data environment, data fabric aims to help companies access, integrate, and manage their data no matter where that data is stored using semantic knowledge graphs, active metadata management, and embedded machine learning.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

AWS Big Data

MAY 1, 2024

To transform Fujitsu from an IT company to a digital transformation (DX) company, and to become a world-leading DX partner, Fujitsu has declared a shift to data-driven management. Responsibilities include: Load raw data from the data source system at the appropriate frequency.

Dashboards 122

Dashboards Publishing Data-driven Cost-Benefit 122

erwin

MARCH 14, 2019

Because of GDPR, organizations that may not have fully leveraged data mapping for proactive data-driven initiatives (e.g., analysis) are now adopting data mapping tools with compliance in mind. Arguably, GDPR’s implementation can be viewed as an opportunity – a catalyst for digital transformation.

Metadata 81

Metadata Data Governance Data-driven Digital Transformation 81

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

DataKitchen

JUNE 24, 2021

We needed to get the data from a centralized place into their hands so that they could get in the game of digital transformation.”. ” So I became focused on how to get data and analytic teams to be successful. Bergh added, “ DataOps is part of the data fabric. Education is the Biggest Challenge.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

Alation

FEBRUARY 13, 2020

Why do we need a data catalog? What does a data catalog do? These are all good questions and a logical place to start your data cataloging journey. Data catalogs have become the standard for metadata management in the age of big data and self-service analytics. Figure 1 – Data Catalog Metadata Subjects.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

erwin

JANUARY 3, 2020

In the year ahead, companies with the ability to harness, secure and leverage information effectively will be better equipped than others to promote digital transformation and gain a competitive advantage. Constructing a Digital Transformation Strategy. To that end, data is finally no longer just an IT issue.

Data Governance 52

Data Governance Digital Transformation IoT Metadata 52

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Data Quality Metadata Data Governance 52

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Yet finding data is just the beginning.

Metadata 64

Metadata Data Governance Dashboards Software 64

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

Alation

AUGUST 16, 2022

And as a platform for data intelligence, the breadth of our connectivity to other parts of the data management ecosystem is key. Alation supports over 80 out-of-the-box connectors and an open API framework to automate metadata, lineage, sampling, and query ingestion,” writes Bond. And there’s no administrative overhead.

Data Quality 52

Data Quality Data Governance Metadata Reporting 52

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Alation

JUNE 14, 2021

We discuss how they are running the business of IT and cover subjects like digital transformation, business/IT alignment, IT leadership, and leading innovation. Recently, I dug in with CIOs on the topic of data security. What came as no surprise was the importance CIOs place on taking a broader approach to data protection.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Metadata 97

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Alation

FEBRUARY 13, 2020

IDC Innovators: Data Intelligence Software Platforms, 2019 Report. 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

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

MARCH 28, 2023

Central to this is a uniform technology architecture, where individuals can access and interpret data for organisational benefit. Standardisation will also ensure easy reuse of data, by storing it consistently, with a single, authoritative source. Enduring data Data is an enduring asset and capability, not just a resource.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

Alation

MARCH 21, 2023

Having been in business for over 50 years, ARC had accumulated a massive amount of data that was stored in siloed, on-premises servers across its 7 business domains. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

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

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