TDAN

AUGUST 20, 2019

The goal of data governance is to ensure the quality, availability, integrity, security, and usability within an organization. Many traditional approaches to data governance seem to struggle in practice; I suspect it is partly because of the cultural impedance mismatch, but also partly because […].

Data Governance 68

Data Governance Strategy Data Architecture IT 68

CIO Business Intelligence

MARCH 19, 2025

Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

IBM Big Data Hub

JANUARY 5, 2023

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

TDAN

APRIL 5, 2022

Data Governance is defined as the execution and enforcement of authority over the management of data and data-related assets.1 1 The terms “Data Mesh” and “Data Fabric” are the most recent examples of names being given to something that describes techniques to help organizations manage their data.

Data Governance 98

Data Governance Management Data Architecture Metadata 98

Cloudera

JULY 29, 2022

Some even have too much data, so much so that the insights are obscured by the sheer volume and speed of the data coming in. All successful organizations have business strategies in place that help them achieve their objectives. These strategies are usually long-term and include plans and actions on how to reach their goals. .

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

CIO Business Intelligence

JUNE 20, 2022

It shows how we will use the power of data to bring benefits to all parts of health and social care.”. Greater control over patient data, and pioneering research with TREs. The strategy also introduced so-called trusted research environments (TRE).

Data Strategy 105

Data Strategy Strategy Digital Transformation Data Architecture 105

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 76

Data Governance Business Objectives Data Quality Measurement 76

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 85

Strategy Data Architecture Cost-Benefit Reporting 85

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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

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

Alation

MAY 31, 2023

The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. What is a data architect?

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

TDAN

JULY 2, 2019

The third and final part of the Non-Invasive Data Governance Framework details the breakdown of components by level, providing considerations for what must be included at the intersections. The squares are completed with nouns and verbs that provide direction for meaningful discussions about how the program will be set up and operate.

Data Governance 74

Data Governance Data Quality Data Architecture Metadata 74

IBM Big Data Hub

APRIL 11, 2023

Data and AI governance’s role A proper technology mix can be crucial to an effective data and AI governance strategy, with a modern data architecture such as data fabric being a key component.

Strategy 87

Strategy Data Architecture Data-driven Testing 87

AWS Big Data

JANUARY 24, 2023

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Architecture 94

Data Architecture Metadata Data Lake Snapshot 94

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.

Data Strategy 100

Data Strategy Strategy Data Warehouse Prescriptive Analytics 100

Cloudera

MAY 14, 2024

Meaningful results, and a scalable, flexible data architecture demand a ‘true’ hybrid cloud approach to data management. Working together, Cloudera helped the company build a strong foundation to generate even more value from its data for the future. What do we mean by ‘true’ hybrid? Let’s dive deeper.

Data Architecture 99

Data Architecture Data Governance Unstructured Data Structured Data 99

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 Data Architecture 52

Sisense

JULY 6, 2020

These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing. Data governance is the foundation of EDM and is directly related to all other subsystems. How to define your enterprise data management strategy.

Enterprise 98

Enterprise Management Data Architecture Data-driven 98

Smart Data Collective

FEBRUARY 23, 2021

Not Having a Data Architecture Plan. Data quality matters, but along with that, even its structure matters. When you’re dealing with big data, it’s essential that you manage it well. Without a data governance framework in place, you won’t be able to find and retrieve the required data with ease.

Big Data 142

Big Data Visualization Data Quality Data-driven 142

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

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

CIO Business Intelligence

NOVEMBER 29, 2022

Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk. It’s a future state worth investing in.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

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

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. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Cloudera

DECEMBER 1, 2023

One notable example of a government initiative that has shaped the AI landscape is the United States’ federal AI strategy. Launched in 2019, this strategy aims to position the US as a leader in AI research, development, and deployment. This strategy has spurred a wave of AI innovation within the public sector.

Data Governance 109

Data Governance Data-driven Strategy Data Architecture 109

CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. That strategy is doomed to fail. What are the layers?

Manufacturing 98

Manufacturing Data Architecture Data Strategy Strategy 98

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 78

Optimization Data Architecture Data Governance Digital Transformation 78

CIO Business Intelligence

JUNE 19, 2023

But to thrive in the “intelligence era”, Mr. Cao said financial institutions need to reconsider their entire digital strategy, encompassing their approach to connections, data, applications, and infrastructure, in order to strengthen their core competitiveness. Mr. Cao noted the specific problem of unstructured data. “A

Finance 98

Finance Unstructured Data Data Processing Data Architecture 98

CIO Business Intelligence

JUNE 15, 2023

But to thrive in the “intelligence era”, Mr Cao said financial institutions need to reconsider their entire digital strategy, encompassing their approach to connections, data, applications, and infrastructure, in order to strengthen their core competitiveness. Mr. Cao noted the specific problem of unstructured data. “A

Unstructured Data 98

Unstructured Data Finance Data Processing Data Architecture 98

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 132

Digital Transformation Data-driven Strategy Data Strategy 132

Cloudera

MAY 9, 2023

Cloudera Data Platform (CDP) will enable SoftBank to increase resources flexibly as needed and adjust resources to meet business needs. In addition, it has functions to review and update user access controls regularly as part of data governance.

Data Lake 90

Data Lake IoT Data Governance Data-driven 90

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

MAY 2, 2022

Srinivasan will share Petco’s ongoing data journey at CIO’s Future of Data Summit , taking place virtually May 10-11. Focusing on creating the intelligent organization, the event will gather technology executives to discuss both strategy and concrete implementation tactics.

Advertising 98

Advertising Data Governance Insurance Data-driven 98

Cloudera

JUNE 14, 2021

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? Different departments in the organization have different strategies, and in many instances their own ‘shadow IT’. The third issue is with the network cloud strategy of the service provider.

Data Architecture 97

Data Architecture Enterprise Finance Strategy 97

IBM Big Data Hub

JUNE 21, 2022

When it comes to selecting an architecture that complements and enhances your data strategy, a data fabric has become an increasingly hot topic among data leaders. This architectural approach unlocks business value by simplifying data access and facilitating self-service data consumption at scale. .

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52