erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. CCPA vs. GDPR: Key Differences.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

erwin

SEPTEMBER 19, 2019

Data governance isn’t a one-off project with a defined endpoint. Data governance, today, comes back to the ability to understand critical enterprise data within a business context, track its physical existence and lineage, and maximize its value while ensuring quality and security. Slow Down, Ask Questions.

Data Governance 108

Data Governance Cost-Benefit Enterprise Modeling 108

erwin

JUNE 19, 2020

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate.

Enterprise 130

Enterprise Data Architecture Strategy Data Governance 130

Cloudera

SEPTEMBER 8, 2022

The management of data assets in multiple clouds is introducing new data governance requirements, and it is both useful and instructive to have a view from the TM Forum to help navigate the changes. . What’s new in data governance for telco? for machine learning), and other enterprise policies.

Data Governance 75

Data Governance B2B Data Architecture IoT 75

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 83

Data Governance Business Objectives Strategy Data Quality 83

IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

Data Governance 52

Data Governance Data-driven Strategy Management 52

erwin

JUNE 19, 2020

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate.

Enterprise 94

Enterprise Data Architecture Strategy Data Governance 94

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 91

Data Quality Data Governance Data Lake Testing 91

CIO Business Intelligence

NOVEMBER 28, 2023

Still, to truly create lasting value with data, organizations must develop data management mastery. This means excelling in the under-the-radar disciplines of data architecture and data governance. Contributing to the general lack of data about data is complexity.

Management 131

Management Data Architecture Data Lake Data Strategy 131

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 2- AI capability drives data monetization.

Optimization 77

Optimization Data Architecture Data Governance Digital Transformation 77

CIO Business Intelligence

AUGUST 2, 2023

So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 98

Alation

FEBRUARY 13, 2020

Following a very successful year of growth in Alation’s business, this announcement marks a milestone for Alation and the enterprise data catalog market. What started six years ago as one startup trying to improve the way people work with data has become a full-blown market category – Machine Learning Data Catalogs.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

TDAN

MARCH 5, 2019

It seems like we’re so busy running that we no longer have time to think. We want to be faster and more responsive, but we aren’t even sure what we are trying to achieve. It’s like the person at your office that is always too busy, is working extra-long hours (and makes sure that everybody […].

Data Governance 53

Data Governance Enterprise Data Architecture IT 53

erwin

SEPTEMBER 13, 2022

Day one will feature presentations from industry experts and experienced data professionals on the initiatives and tactical measures being taken by data-driven enterprises to reap the benefits of data intelligence and governance. Learn how to maximize the business impact of your data.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

AWS Big Data

APRIL 29, 2024

Effective permission management helps tackle these challenges by controlling how data is accessed and used, providing data integrity and minimizing the risk of data breaches. Apache Ranger is a comprehensive framework designed for data governance and security in Hadoop ecosystems.

Management 83

Management Big Data Metadata Data Warehouse 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

erwin

OCTOBER 16, 2020

IDC defines data intelligence as business, technical, relational, and operational metadata that provides transparency of data profiles, classification, quality, location, context, and lineage, providing people, processes, and technology with trustworthy, reliable data. Parts of this blog are excerpted from my keynote on day No.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

CIO Business Intelligence

MAY 1, 2023

The risk of shadow IT and the loss of faith in IT’s ability to deliver to the enterprise creates redundancy in the environment, rogue decision-making in application investment, and overburdened cost and complexity in running the organization.

Consulting 59

Consulting Data Governance Digital Transformation ROI 59

Ontotext

NOVEMBER 16, 2023

Clarifying what data mesh is and how it works is important, but even more so is starting with the why. Why Organizations Need A Data Mesh The data mesh paradigm aims to address some of the biggest pain points for most organizations. This becomes particularly problematic when dealing with veracity of data.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Alation

MARCH 31, 2023

Actually, with Solomon-like wisdom, Zaidi and Thanaraj suggest a scenario where data fabric and data mesh work together — a Reese’s Peanut Butter Cup of data architecture, representing a “meshy fabric” scenario I presented last year. Data governance. “I He compared governance to the U.S.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

CIO Business Intelligence

AUGUST 9, 2023

Generative AI “fuel” and the right “fuel tank” Enterprises are in their own race, hastening to embrace generative AI ( another CIO.com article talks more about this). In other words, storage platforms must be aligned with the realities of unstructured data and the emerging needs of generative AI.

Unstructured Data 98

Unstructured Data Modeling Data Architecture Enterprise 98

IBM Big Data Hub

JUNE 30, 2022

As ecosystems transformed over the last few years and simultaneously increased the opportunities to improve results driven by data, a few main contributing factors drove major change in how you should think about your data strategy: The reality of hybrid multicloud and its accelerated adoption has created new possibilities and challenges.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

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

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Data Governance 71

Data Governance Strategy Enterprise Machine Learning 71

Alation

NOVEMBER 2, 2022

We had not seen that in the broader intelligence & data governance market.”. And it aligns with our vision of also expanding the personas that are able to use the Databricks lakehouse within each enterprise.”. Driving adoption with Alation’s special brand of active governance will be a central goal of the new partnership.

Data Governance 98

Data Governance Marketing Finance Data Lake 98

erwin

DECEMBER 6, 2019

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Today, data governance needs to be a ubiquitous part of your organization’s culture. Collaborative Data Governance.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 131

Digital Transformation Strategy Data-driven Data Strategy 131

AWS Big Data

APRIL 19, 2023

However, when a data producer shares data products on a data mesh self-serve web portal, it’s neither intuitive nor easy for a data consumer to know which data products they can join to create new insights. This is especially true in a large enterprise with thousands of data products.

Technology 82

Technology Data-driven Machine Learning Sales 82

Octopai

APRIL 19, 2021

BI teams will have a better handle on their data’s history, its current status, and any changes it may have undergone. Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. TDWI – David Loshin.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Cloudera

DECEMBER 1, 2022

For analytic applications to properly leverage a hybrid, multi-cloud ecosystem to support modern data architectures, data observability has become even more important. RI is a global leader in the design and deployment of large-scale, production-level modern data platforms for the world’s largest enterprises.

Metrics 80

Metrics Data Quality Data Lake Statistics 80

Alation

JULY 30, 2021

2: Biz Problem – Making Data Ready for Business Analysis. Good, trusted data is no accident; data governance is a crucial prerequisite. As Tom Davenport argues in Analytics at Work, “You can’t be really good at analytics without really good data.” (23). Clean it up before or as part of switching and moving.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

TDAN

FEBRUARY 2, 2021

A new approach to wicked problems is taking root: data-sharing partnerships that accelerate the innovation of solutions for shared problems. In this article, we will explore how organizations can […].

Enterprise 52

Enterprise Data-driven Testing Data Architecture 52

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture.

Data Architecture 82

Data Architecture Cost-Benefit Digital Transformation Business Driver 82

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. Deploy a unified enterprise data platform that runs anywhere with Db2. An integrated multicloud data platform . Data security & governance .

Data Lake 96

Data Lake Data Warehouse Publishing Structured Data 96