Octopai

DECEMBER 12, 2021

Metadata is the pertinent, practical details about data assets: what they are, what to use them for, what to use them with. Without metadata, data is just a heap of numbers and letters collecting dust. Where does metadata come from? What is a metadata management tool? What are examples of metadata management tools?

Metadata 93

Metadata Management Data Quality Data Governance 93

Octopai

SEPTEMBER 6, 2020

Machine learning also plays a role in automated enterprise metadata management. In this article, we’re going to examine the relationship between machine learning and metadata management, how machine learning improves the quality of Business Intelligence (BI), and the ways in which you can apply these learnings to your own organization.

Metadata 56

Metadata Machine Learning Enterprise Management 56

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? Observability represents the business strategy behind the monitoring activities.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

erwin

OCTOBER 24, 2019

While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. And to truly understand it , you need to be able to create and sustain an enterprise-wide view of and easy access to underlying metadata.

Metadata 104

Metadata Management Data-driven Data Architecture 104

CIO Business Intelligence

JULY 6, 2023

While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. IBM and Google Cloud also offer low code platforms in the form of the Tuning Studio and Generative AI Studio , respectively, in order to help enterprises fine-tune models.

Strategy 83

Strategy Metadata Enterprise Modeling 83

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 84

Metadata Data Governance Digital Transformation Data Quality 84

CIO Business Intelligence

MARCH 4, 2024

Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies. Despite these benefits, the core problems that data centralization so often fails to address are the pragmatic realities of many enterprise data ecosystems.

Insurance 78

Insurance Strategy Data Governance Data Integration 78

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

erwin

MAY 31, 2019

It’s time to consider data-driven enterprise architecture. The traditional approach to enterprise architecture – the analysis, design, planning and implementation of IT capabilities for the successful execution of enterprise strategy – seems to be missing something … data. That’s right.

Data-driven 104

Data-driven Enterprise Metadata Strategy 104

Ontotext

JANUARY 29, 2024

The generative AI buzz and interest in cloud migration shouldn’t be ignored, but as with any technology that requires data strategy, it’s critical that data and analytics professionals be crystal clear about their priorities and confident in the projects that will positively impact their business and goals.

Strategy 52

Strategy Management Metadata Data-driven 52

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable. Your metadata gives users context.

Metadata 52

Metadata Management Data Governance Machine Learning 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

CDW Research Hub

JUNE 24, 2021

Metadata provides basic information (the who, what, when, where, why) about your data assets. Think of metadata as your data’s life story. By properly managing your metadata, you can improve data visibility, enhance any area of business that uses data and insights, and create opportunities for data reuse and sharing.

Metadata 52

Metadata Data Governance Management Strategy 52

erwin

FEBRUARY 7, 2019

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. Metadata-Driven Automation in the BFSI Industry. Metadata-Driven Automation in the Pharmaceutical Industry. Metadata-Driven Automation in the Insurance Industry.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

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

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 Strategy: Smarter Data.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 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

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. . One possible solution is to adopt a hybrid cloud strategy. .

Data Governance 98

Data Governance Enterprise Data Quality Metadata 98

Ontotext

FEBRUARY 1, 2024

Knowledge graphs The final step in model complexity covered in my talk is the advent of enterprise knowledge graphs, and, more specifically, what Synaptica calls content-aware knowledge graphs. Extreme scale Many, if not most, enterprise taxonomies have under 10,000 concepts. What do we mean by content aware knowledge graphs?

Enterprise 59

Enterprise Management Metadata Modeling 59

TDAN

MAY 2, 2023

Achieving Enterprise Data Awareness is a natural maturity progression within the governance domain. At this stage, companies rightly see Data Governance and Information Governance as a large metadata puzzle.

Enterprise 52

Enterprise Metadata Data Governance Data Strategy 52

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

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure. Then, you transform this data into a concise format.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Ontotext

JANUARY 25, 2024

In the current data management landscape, enterprises have to deal with diverse and dispersed data at unimaginable volumes. Not surprisingly, the last decade has witnessed a paradigm shift in enterprise data management, leading to a rise in leveraging knowledge graphs. This is a core component of most data fabric based implementations.

Enterprise 64

Enterprise Management Cost-Benefit Metadata 64

TDAN

MAY 31, 2022

The main goal of creating an enterprise data fabric is not new. It is the ability to deliver the right data at the right time, in the right shape, and to the right data consumer, irrespective of how and where it is stored. Data fabric is the common “net” that stitches integrated data from multiple data […].

Metadata 98

Metadata Enterprise IT Data Architecture 98

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

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. TDWI – David Loshin.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

IBM Big Data Hub

JANUARY 5, 2023

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. Apply metadata to contextualize existing and new data to make it searchable and discoverable. Meaning, data architecture is a foundational element of your business strategy for higher data quality.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Alation

MAY 10, 2021

Cutting-edge enterprises use their data to glean insights, make decisions, and drive value. In other words, they have a system in place for a data-driven strategy. The catalog gathers metadata, (or data about data), to add context to every asset. Data catalogs are extremely useful for enterprises prepared to utilize them.

Strategy 80

Strategy Enterprise Data Strategy Data Governance 80

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Working with large language models (LLMs) for enterprise use cases requires the implementation of quality and privacy considerations to drive responsible AI.

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

Cloudera

APRIL 18, 2024

More Businesses Are Taking a Holistic Approach to Data Strategy One of the more common trends we saw coming up through conversations during the summit was the need for a reframing of how we approach data strategy—taking a much more holistic viewpoint to it than organizations otherwise would have in past years.

Analytics 108

Analytics Metadata Data Strategy Optimization 108

erwin

OCTOBER 3, 2019

Enterprise architecture (EA) benefits modern organizations in many ways. Once considered solely a function of IT, enterprise architecture has historically operated from an ivory tower. In the past, enterprise architecture has played a foundational, support role – largely focused with “keeping the lights on.”.

Enterprise 111

Enterprise Cost-Benefit Data-driven Risk 111

Alation

DECEMBER 15, 2021

An effective data governance strategy is critical for unlocking the full benefits of this information. Let’s explore the key steps for building an effective data governance strategy. What is a Data Governance Strategy? A data governance strategy provides a framework that connects people to processes and technology.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

AWS Big Data

OCTOBER 25, 2023

By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data. After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value. You can integrate different technologies or tools to build a solution.

Unstructured Data 121

Unstructured Data Metadata Management Analytics 121

Sisense

JULY 6, 2020

Employing Enterprise Data Management (EDM). What is enterprise data management? Simply put, enterprise data management is the process of centralizing, standardizing, and organizing data in order to produce high-quality, accurate insights that improve a company’s decision-making and overall use of data.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. Learn more about how to design and implement a data strategy that takes advantage of a hybrid multicloud landscape.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

AWS Big Data

MARCH 4, 2024

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. This is critical for fast-moving enterprises to augment data structures to support new use cases. In Lake Formation, these attributes are called LF-Tags.

Snapshot 114

Snapshot Data Lake Metadata Recreation/Entertainment 114

Cloudera

MAY 6, 2021

In this article, I will be focusing on the contribution that a multi-cloud strategy has towards these value drivers, and address a question that I regularly get from clients: Is there a quantifiable benefit to a multi-cloud deployment? Risk Mitigation.

Strategy 91

Strategy Cost-Benefit Optimization Risk 91