CIO Business Intelligence

FEBRUARY 27, 2025

According to a study from Rocket Software and Foundry , 76% of IT decision-makers say challenges around accessing mainframe data and contextual metadata are a barrier to mainframe data usage, while 64% view integrating mainframe data with cloud data sources as the primary challenge.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

erwin

DECEMBER 19, 2019

To help you prepare for 2020, we’ve compiled some of the most popular data governance and metadata management blog posts from the erwin Experts from this year. The Best Data Governance and Metadata Management Blog Posts of 2019. Four Use Cases Proving the Benefits of Metadata-Driven Automation.

Metadata 75

Metadata Data Governance Management Digital Transformation 75

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. From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog.

IoT 101

IoT Machine Learning Metadata Data-driven 101

erwin

JANUARY 14, 2021

As we enter 2021, we will also be building off the events of 2020 – both positive and negative – including the acceleration of digital transformation as the next normal begins to be defined. Digital transformation was accelerated, and budgets for spending on big data and analytics increased.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

CIO Business Intelligence

APRIL 8, 2025

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant. Why data quality matters and its impact on business AI and analytics are transforming how businesses operate, compete and grow.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

OCTOBER 29, 2024

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight.

Data Lake 89

Data Lake Sales Metadata Machine Learning 89

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. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Cloudera

FEBRUARY 11, 2019

Ask a CIO where their focus lies and ‘digital transformation’ as well as ‘growth’ will come into the conversation quite quickly. Governing digital transformation. To achieve their goals of digital transformation and becoming data-driven, companies need more than just a better data warehouse or BI tool.

Digital Transformation 57

Digital Transformation Data Governance Data Science Data Warehouse 57

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

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

erwin

JANUARY 17, 2020

Data models provide visualization, create additional metadata and standardize data design across the enterprise. 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. SQL or NoSQL?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

erwin

OCTOBER 8, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (APIs), file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

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. About Octopai Octopai is a leading provider of metadata management and business intelligence automation solutions.

Digital Transformation 52

Digital Transformation Metadata Forecasting Data-driven 52

erwin

MARCH 12, 2020

Almost 70 percent of CEOs say they expect their companies to change their business models in the next three years, and 62 percent report they have management initiatives or transformation programs underway to make their businesses more digital, according to Gartner. Doing More with Less.

Metadata 140

Metadata Digital Transformation Data-driven Enterprise 140

erwin

JUNE 22, 2020

Data Intelligence in Context: Enabling Data Governance for Digital Transformation. Now that pulling stakeholders into a room has been disrupted … what if we could use this as 40 opportunities to update the metadata PER DAY? Overcoming the 80/20 Rule with Micro Governance for Metadata.

Metadata 105

Metadata Data Governance Digital Transformation Measurement 105

erwin

MAY 31, 2019

The typical notion is that enterprise architects and data (and metadata) architects are in opposite corners. At Avydium , we believe there’s an important middle ground where different architecture disciplines coexist, including enterprise, solution, application, data, metadata and technical architectures. Where do these layers connect?

Data-driven 104

Data-driven Enterprise Metadata Strategy 104

erwin

SEPTEMBER 10, 2020

Yet given this era of digital transformation and fierce competition, understanding what data you have, where it came from, how it’s changed since creation or acquisition, and whether it poses any risks is paramount to optimizing its value. What are the transformation rules? Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Metadata Digital Transformation 131

erwin

NOVEMBER 13, 2020

Digital Transformation. Digital Transformation. The key driver of modern EA is the demand for digital transformation. The need for digital transformation has led enterprise architects to think about EA based on insights and outcomes throughout the architectural products. Compliance/Legislation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

erwin

MARCH 4, 2021

However, while digital transformation and other data-driven initiatives are desired outcomes, few organizations know what data they have or where it is, and they struggle to integrate known data in various formats and numerous systems – especially if they don’t have a way to automate those processes. Data Privacy Regulations.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

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

Alation

FEBRUARY 13, 2020

What it does for us is that it goes out and pulls all of the metadata in from a variety of platforms that we have data stored on, and it actually allows us to collaborate and define and propagate out information about what the data is. The post GoDaddy: Customer-First Digital Transformation appeared first on Alation.

Digital Transformation 52

Digital Transformation Data-driven Business Intelligence Big Data 52

erwin

APRIL 16, 2020

We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. This automation results in greater accuracy, faster analysis and better decision-making for data governance and digital transformation initiatives.

Metadata 52

Metadata Management Data Governance Digital Transformation 52

erwin

DECEMBER 6, 2019

The unprecedented levels of digital transformation , with rapidly changing and evolving technology, mean data governance is not just an option, but rather a necessity. metadata management, enterprise data architecture, data quality management), DG will be a struggle. Creating a Culture of Data Governance.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

Octopai

AUGUST 19, 2020

This is in stark contrast to the vast number of organizations that previously utilized on-premise discovery solutions and metadata management tools. According to Microsoft CEO Satya Nadella , “We have seen two years of digital transformation in two months.” The value of automation for BI metadata management.

Metadata 98

Metadata Digital Transformation Management Business Intelligence 98

AWS Big Data

DECEMBER 4, 2024

Unified data: Reduce data silos with an open lakehouse to unify all your data We see organizations embarking on digital transformations and needing to quickly adapt to ever-evolving customer demands. Having confidence in your data is key.

Data Analytics 86

Data Analytics Analytics Data Lake Data Quality 86

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? Timo: Yes.

Digital Transformation 115

Digital Transformation Machine Learning Enterprise Data Science 115

CIO Business Intelligence

JANUARY 15, 2024

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

Informatics 131

Informatics Metadata Data mining Digital Transformation 131

Cloudera

AUGUST 3, 2021

Digital Transformation is not without Risk. Those on their digital transformation journey are very aware of additional risk factors when optimizing their supply chain. In recent years the Cloud has been seen as a solution and panacea for many companies digital transformation strategies.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

CIO Business Intelligence

SEPTEMBER 23, 2024

Trustworthy data is essential for the energy industry to overcome these challenges and accelerate the transition toward digital transformation and sustainability. Specifically, what the DCF does is capture metadata related to the application and compute stack.

Manufacturing 122

Manufacturing Internet of Things Metadata Risk 122

erwin

MARCH 14, 2019

Arguably, GDPR’s implementation can be viewed as an opportunity – a catalyst for digital transformation. BFSI, PHARMA, INSURANCE AND NON-PROFIT) CASE STUDIES FOR AUTOMATED METADATA-DRIVEN AUTOMATION. As stated above, a data governance platform that draws from a single metadata source is even more advantageous here.

Metadata 81

Metadata Data Governance Data-driven Digital Transformation 81

erwin

AUGUST 28, 2020

Other areas in where well governed data plays an important role include digital transformation, data standards and uniformity, self-service and customer trust and satisfaction. With the broadest set of metadata connectors, erwin DI combines data management and DG processes to fuel an automated, real-time, high-quality data pipeline.

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

erwin

APRIL 16, 2021

used erwin Data Intelligence for its digital transformation and innovation efforts. This webinar will discuss how to answer critical questions through data catalogs and business glossaries, powered by effective metadata management. Click here to read our success story on how E.ON erwin Data Intelligence. Request Demo.

Data Governance 128

Data Governance Metadata Cost-Benefit Data-driven 128

erwin

AUGUST 6, 2020

With your employees connected and armed with data that paints a clear picture of the business, your organization is better prepared to turn its attention to whatever your strategic priority may be – i.e. digital transformation, customer experience, or withstanding this current (or future) crisis. So, what is data literacy?

Contextual Data 135

Contextual Data Data Governance Metadata Digital Transformation 135

erwin

NOVEMBER 28, 2019

Related content: 2019 Gartner Magic Quadrant for Metadata Management Solutions. Roles and titles will continue to evolve to meet new challenges in the face of digital transformation. Like the tech industry in general, the only constant in enterprise architecture is change.

Enterprise 145

Enterprise Data-driven Data Governance Metadata 145

AWS Big Data

MARCH 5, 2025

The Amazon DataZone data sources allow you to connect to various data sources, including databases, data warehouses, and data lakes, and ingest metadata into Amazon DataZone. By creating and running these data sources, you can make your data available for analysis, transformation, and sharing within your organization.

Analytics 59

Analytics Publishing Metadata Sales 59

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

Alation

JULY 26, 2021

Beginning a digital transformation journey in a big organization can feel daunting. We sought a partner to support our digital transformation and help us leverage data as a competitive asset. One of the first steps in any digital transformation journey is to understand what data assets exist in the organization.

Insurance 98

Insurance Digital Transformation Enterprise Data Governance 98