CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. The fabric, especially at the active metadata level, is important, Saibene notes. Bechtel envisions an upcoming sea change in external data sharing.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Octopai

OCTOBER 18, 2021

First, what active metadata management isn’t : “Okay, you metadata! Now, what active metadata management is (well, kind of): “Okay, you metadata! Metadata are the details on those tools: what they are, what to use them for, what to use them with. . That takes active metadata management. Quit lounging around!

Metadata 83

Metadata Management IT Data Quality 83

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. What could be faster and easier than on-prem enterprise data sources? using high-dimensional data feature space to disambiguate events that seem to be similar, but are not).

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

Octopai

SEPTEMBER 14, 2020

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. In this article, you will learn: What does metadata management do? What is metadata management?

Metadata 52

Metadata Management Data Processing Machine Learning 52

erwin

NOVEMBER 6, 2019

erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. IDC Technology Spotlight, Data Intelligence in Context: Get the report (… it’s free). Can the 80/20 Rule Be Reversed? Click here to take the brief survey.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

erwin

NOVEMBER 19, 2020

erwin has once again been positioned as a Leader in the Gartner “2020 Magic Quadrant for Metadata Management Solutions.”. We invite you to download the report and quadrant graphic. This year, erwin had the largest move of any player on the Quadrant and moved up significantly in terms of “Ability to Execute” and also in “Vision.”.

Metadata 98

Metadata Management Digital Transformation Data Governance 98

erwin

JULY 2, 2020

Users discuss how they are putting erwin’s data modeling, enterprise architecture, business process modeling, and data intelligences solutions to work. IT Central Station members using erwin solutions are realizing the benefits of enterprise modeling and data intelligence. For Matthieu G., George H., Roshan H.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

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

NOVEMBER 28, 2019

Enterprise architecture tools are becoming more important than ever. The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”.

Enterprise 145

Enterprise Data-driven Data Governance Digital Transformation 145

erwin

NOVEMBER 13, 2020

The business challenges facing organizations today emphasize the value of enterprise architecture (EA) , so the future of EA is closer than you think. See also: What Is Enterprise Architecture? . Let’s dig into the first two and then look at the role of enterprise architects and how to ensure your EA tools are up to the tasks ahead.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

Octopai

DECEMBER 22, 2019

As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. What a flashback to see all that we’ve achieved this year in data governance, risk and compliance, data analysis and reporting. Named by CRN as a Top 10 Data Analytics Company to Watch.

Metadata 54

Metadata Management OLAP Data Governance 54

CIO Business Intelligence

NOVEMBER 15, 2023

One vehicle might be an annual report, one similar to those that have been published for years by public companies—10ks and 10qs and all those other filings by which stakeholders judge a company’s performance, posture, and potential. Such a report has a legacy already, if only a short one. And don’t just rattle off project metadata.

Publishing 121

Publishing Reporting IT Finance 121

erwin

SEPTEMBER 3, 2020

Why should you integrate data governance (DG) and enterprise architecture (EA)? Two of the biggest challenges in creating a successful enterprise architecture initiative are: collecting accurate information on application ecosystems and maintaining the information as application ecosystems change. It’s time to think about EA beyond IT.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

erwin

OCTOBER 18, 2019

erwin positioned as a Leader in Gartner’s “2019 Magic Quadrant for Metadata Management Solutions”. We were excited to announce earlier today that erwin was named as a Leader in the @Gartner _inc “2019 Magic Quadrant for Metadata Management Solutions.”. GET THE REPORT NOW. This graphic was published by Gartner, Inc.

Metadata 63

Metadata Management Reporting Marketing 63

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance. In 2019, the U.K.’s From Bad to Worse.

Data Governance 103

Data Governance Enterprise Data Quality Metadata 103

Octopai

DECEMBER 16, 2020

Data is processing, information is moving through various systems, and reports are generating valuable insights for the decision-makers down the line. Then a BI reporting nightmare crops up – a significant mistake has been discovered in a data field. Further, 50% reported that manual error detection could take months.

Reporting 85

Reporting Metadata Uncertainty Business Intelligence 85

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank. IRM UK Connects.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Alation

AUGUST 18, 2022

Most of the time we think about data fields & files, columns & tables, reports & dashboards. The complex challenge here is to have the lineage be intelligently updated as the data landscape and processing dynamically bubbles and changes daily across an enterprise. But what data things are interconnected?

Metadata 69

Metadata Visualization Statistics Data Architecture 69

erwin

APRIL 16, 2020

We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. The solutions work in tandem to automate the processes involved in harvesting, integrating, activating and governing enterprise data according to business requirements.

Metadata 52

Metadata Management Data Governance Digital Transformation 52

Alation

FEBRUARY 13, 2020

In an earlier blog, I defined a data catalog as “a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses.”.

Metadata 52

Metadata Management Data Lake Data Governance 52

Ontotext

APRIL 10, 2024

This is a “ Datastrophe “ Data managed correctly can turn assets into actionable insights, left unmanaged it can be the uranium, causing massive damage to enterprises with data and security breaches being rampant. Most do manual reconciliations which result in downstream challenges and reporting errors.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

Alation

FEBRUARY 12, 2020

Gone are the days when static metadata repositories and manual curation were enough (if they ever really were). In a recent report*, Gartner analysts, Ehtisham Zaidi and Guido De Simoni, call augmented data catalogs an “enterprise must-have” for data and analytics leaders. Hundreds (even thousands) of data consumers.

Enterprise 52

Enterprise Metadata Machine Learning Reporting 52

Alation

JULY 15, 2021

According to the latest report from Eckerson Group, Deep Dive on Data Catalogs , shoppers must match the goals of their organizations to the capabilities of their chosen catalog. Alation is proud to have garnered recognition for its product by industry-leading analyst reports, including: GigaOm Report for Data Catalogs.

Reporting 98

Reporting Data Governance Recreation/Entertainment Metadata 98

Ontotext

MAY 2, 2024

Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. This approach is fueled by enterprise semantics and makes data findable, consistent, interoperable, and reusable for generating faster insights. Our Value Proposition How does TopQuadrant fit into this picture?

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

CIO Business Intelligence

MARCH 24, 2023

While data management has become a common term for the discipline, it is sometimes referred to as data resource management or enterprise information management (EIM). Several of the overall benefits of data management can only be realized after the enterprise has established systematic data governance.

Data Governance 142

Data Governance Management Metadata Data Quality 142

IBM Big Data Hub

JUNE 8, 2022

By taking advantage of data, enterprises can shape business decisions, minimize risk for stakeholders, and gain competitive advantage. This extremely large amount of enterprise data – comprising thousands of databases and millions of tables and columns – makes it difficult or impossible for users to find, access and use the data they need.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

AWS Big Data

DECEMBER 13, 2023

For the past 5 years, BMS has used a custom framework called Enterprise Data Lake Services (EDLS) to create ETL jobs for business users. EDLS job steps and metadata Every EDLS job comprises one or more job steps chained together and run in a predefined order orchestrated by the custom ETL framework.

Metadata 89

Metadata Data Lake Visualization Data Transformation 89

Alation

OCTOBER 26, 2021

Because of the criticality of the data they deal with, we think that finance teams should lead the enterprise adoption of data and analytics solutions. And while some might see finance as the most conservative department in an enterprise, we believe that they can become innovators, driving how their business consumes and uses data.

Finance 52

Finance Data Transformation Enterprise Metrics 52

Ontotext

MARCH 8, 2023

Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Which financial institutions are behind on their risk reporting and filings this year? million users. Which financial institutions have filed similar risk compliance issues?

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Octopai

OCTOBER 3, 2019

Enterprise Data Catalogs to the Rescue. An enterprise data catalog , as you might imagine, is built at enterprise scale and can incorporate data assets belonging to various subsidiaries, joint ventures, and other business or organizational units. Not Without a Metadata Management Tool. What is a data catalog?

Enterprise 41

Enterprise Metadata Data Warehouse Consulting 41

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. They might have 300 applications, with 50 different databases and a different schema for each one.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

erwin

NOVEMBER 21, 2019

As enterprise architectures become more complex, enterprise architecture tools are becoming more important than ever. Enterprise architecture also enables a better understanding of change, through impact analysis – which is essential considering the agile, data-driven landscape and its state of flux.

Enterprise 77

Enterprise Data-driven Data Governance Digital Transformation 77

CIO Business Intelligence

OCTOBER 13, 2023

The data architect is responsible for visualizing and designing an organization’s enterprise data management framework. They often report to data infrastructure and data science leads. Data architects and data engineers work together to visualize and build the enterprise data management framework.

Data Architecture 130

Data Architecture Data Warehouse Statistics Visualization 130

erwin

NOVEMBER 21, 2019

As enterprise architectures become more complex, enterprise architecture tools are becoming more important than ever. Enterprise architecture also enables a better understanding of change, through impact analysis – which is essential considering the agile, data-driven landscape and its state of flux.

Enterprise 72

Enterprise Data-driven Data Governance Digital Transformation 72

IBM Big Data Hub

JUNE 23, 2022

Good for large, complex environments – As noted in the quote above from the report, IBM’s data fabric can handle the workload of large organizations even when the data in question is dispersed across hybrid or multi-cloud environments. Providing the semantic. We look forward to showing you more in the upcoming months.

Enterprise 52

Enterprise Metadata Data Governance Machine Learning 52

erwin

OCTOBER 8, 2020

But transforming and migrating enterprise data to the cloud is only half the story – once there, it needs to be governed for completeness and compliance. With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Alation

JANUARY 9, 2023

The Enterprise Data Management Council , a global association dedicated to data management, has developed the Data Management Capability Assessment Model (DCAM). That defining data is called metadata , which is data that describes data. The capture, organisation, and sharing of metadata calls for a data catalog.

Risk Management 52

Risk Management Risk Management Metadata 52