erwin

NOVEMBER 28, 2019

As the IEAI’s definition indicates, enterprise architecture tools are key drivers in ensuring such alignment because they help organizations understand their systems, applications and assets from a holistic, top-down perspective. Related content: 2019 Gartner Magic Quadrant for Metadata Management Solutions.

Enterprise 145

Enterprise Data-driven Data Governance Digital Transformation 145

Jen Stirrup

MARCH 29, 2023

By providing a unified view of the data, the semantic layer helps ensure that different users and reports use consistent definitions and calculations, thereby helping to provide a single view of the customer.

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

CIO Business Intelligence

FEBRUARY 14, 2024

As the cost of data storage has fallen, many organizations are keeping unnecessary data, or cleaning up data that’s out of date or no longer useful after a migration or reorganization. Do you want to have an even more powerful search capability with AI in your data, and to be unsure about how you’ve organized that data?”

IT 143

IT Metadata Data-driven Management 143

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 Digital Transformation 97

Alation

FEBRUARY 13, 2020

These are all good questions and a logical place to start your data cataloging journey. This brief definition makes several points about data catalogs—data management, searching, data inventory, and data evaluation—but all depend on the central capability to provide a collection of metadata.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Alation

JUNE 22, 2021

The second and fourth posts take a deeper look at data search & discovery and data governance, respectively. What is Data Literacy? Per a recent article on Dataversity , “data literacy is the ability to read, work with, analyze, and argue with data.” How to Build Data Literacy.

Data Governance 64

Data Governance Data-driven Metadata Visualization 64

Alation

OCTOBER 26, 2021

Finance departments often start with the basics, building a business glossary in the Alation Data Catalog to support data-driven reports and decision making. A business glossary helps an organization agree and align on internal definitions. Finance teams soon realize other key benefits of the Alation Data Catalog.

Finance 52

Finance Data Transformation Enterprise Metrics 52

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. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

erwin

NOVEMBER 21, 2019

As the IEAI’s definition indicates, enterprise architecture tools are key drivers in ensuring such alignment because they help organizations understand their systems, applications and assets from a holistic, top-down perspective. Roles and titles will continue to evolve to meet new challenges in the face of digital transformation.

Enterprise 77

Enterprise Data-driven Data Governance Digital Transformation 77

erwin

NOVEMBER 21, 2019

As the IEAI’s definition indicates, enterprise architecture tools are key drivers in ensuring such alignment because they help organizations understand their systems, applications and assets from a holistic, top-down perspective. Roles and titles will continue to evolve to meet new challenges in the face of digital transformation.

Enterprise 72

Enterprise Data-driven Data Governance Digital Transformation 72

AWS Big Data

DECEMBER 21, 2023

To ingest the data, smava uses a set of popular third-party customer data platforms complemented by custom scripts. After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets.

Data Lake 88

Data Lake Data Warehouse Data-driven B2B 88

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 76

Management Risk Measurement Optimization 76

Laminar Security

AUGUST 23, 2023

This speed and flexibility give developers and data scientists the right tools for staying at the forefront of innovation. Amidst these innovations, many businesses struggle to align their data security practices with the speed of digital transformation. We only use your metadata for further analysis and reporting.

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

Alation

FEBRUARY 13, 2020

This achievement is a testament not only to our legacy of helping to create the data catalog category but also to our continued innovation in improving the effectiveness of self-service analytics. A broader definition of Business Intelligence. Enabling workers to find the right data is crucial to promoting self-service analytics.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

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 Digital Transformation Data-driven 81

Sisense

JULY 6, 2020

Inaccurate data leads to generating unreliable insights which, in the long run, lead the business in the wrong direction. This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Alation

OCTOBER 4, 2022

Today, the rise of digital insurance companies and the changing risk landscape together drive the industry’s digital transformation. As the volume, veracity, variety, and volume of data expands, insurance companies need a stable framework to govern data and democratize access. Why is it Important?

Insurance 52

Insurance Data Governance Risk Strategy 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.” Why keep data at all?

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

DECEMBER 17, 2021

Automating Data Management to Transform Reporting Processes. The combination of a lack of data governance and control, coupled with insufficient automation has a negative impact on the productivity and timeliness of the group reporting process.

Reporting 52

Reporting Management Recreation/Entertainment Finance 52