Octopai

JUNE 26, 2020

In order to figure out why the numbers in the two reports didn’t match, Steve needed to understand everything about the data that made up those reports – when the report was created, who created it, any changes made to it, which system it was created in, etc. Enterprise data governance. Metadata in data governance.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

CIO Business Intelligence

JUNE 10, 2024

By most accounts, enterprise CIOs are rushing to hire for AI-related roles, putting them into fierce competition with one another — and with big tech companies and CTOs everywhere. Results from Foundry/CIO.com’s 2024 State of the CIO survey enforce this finding, with AI vaulting to the top slot of enterprise CIO’s hardest-to-hire roles.

Strategy 74

Strategy IT Machine Learning Consulting 74

erwin

MAY 20, 2020

Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. Where crisis leads to vulnerability, data governance as an emergency service enables organization management to direct or redirect efforts to ensure activities continue and risks are mitigated.

Data Governance 144

Data Governance Metadata Risk Strategy 144

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

CIO Business Intelligence

MARCH 4, 2024

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

Insurance 92

Insurance Strategy Data Governance Data Integration 92

erwin

JANUARY 30, 2020

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . 1 reason to implement data governance. Most have only data governance operations.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

Cloudera

MARCH 25, 2021

Will the data privacy controls ultimately help create an enterprise approach to data? Data lies at the heart of knowing the customer and enabling a better customer experience. Improved Operations – The benefits of breaking down silos and embracing an enterprise data approach are illustrated by United Overseas Bank.

Data Strategy 66

Data Strategy Strategy Enterprise Insurance 66

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 Strategy 76

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. That means your cloud data assets must be available for use by the right people for the right purposes to maximize their security, quality and value.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

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

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

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

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

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. Let’s look at five different ways.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

IBM Big Data Hub

DECEMBER 20, 2023

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. What is an AI strategy? A successful AI strategy should act as a roadmap for this plan.

Strategy 72

Strategy Business Objectives Cost-Benefit Consulting 72

CIO Business Intelligence

APRIL 29, 2022

Data-centric AI is evolving, and should include relevant data management disciplines, techniques, and skills, such as data quality, data integration, and data governance, which are foundational capabilities for scaling AI. Further, data management activities don’t end once the AI model has been developed.

Data Governance 145

Data Governance IT Risk Data Lake 145

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

erwin

JULY 9, 2021

At the root of data intelligence is data governance , which helps ensure the right level of data access, availability and usage based on a defined set of data policies and principles. The Importance of Data Governance. Organizations recognize the importance of effective data governance.

Data Governance 59

Data Governance Business Driver Strategy Statistics 59

O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. have been in use at enterprises across the globe for several years. Data Platforms. Data Integration and Data Pipelines.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

TDAN

DECEMBER 1, 2021

Migrating data to the public cloud offers a wide range of benefits for enterprises; data teams can more easily access their data, write, and test data science models, evaluate new data platforms and test applications, run POCs, and deploy in production.

Data Governance 83

Data Governance Testing Data Science Enterprise 83

CIO Business Intelligence

MAY 17, 2023

This will guide the investigation and decision around what IT assets may warrant modernization to allow the business to further save money, make money, reduce risk and develop new models of business leveraging that data. In most companies, however, the data may be locked within disparate IT silos.

Data-driven 96

Data-driven Strategy IT Insurance 96

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? . Data Security & Risk Management. Data Governance (knowing what data you have and where it is).

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

erwin

AUGUST 20, 2020

Enterprise architecture (EA) is a strategic planning initiative that helps align business and IT. It provides a visual blueprint, demonstrating the connection between applications, technologies and data to the business functions they support. In this post: What Is Enterprise Architecture? Benefits of Enterprise Architecture.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

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

erwin

OCTOBER 17, 2019

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. As enterprise architecture has evolved, so to have the use cases for enterprise architecture. Top 7 Use Cases for Enterprise Architecture. Data security/risk management.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

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

Alation

APRIL 5, 2022

Data Management Meets Human Management. A well-oiled data governance machine comprises many parts, but what’s the most vital component? You and anyone else at your organization who uses data. Not everyone has to be a data expert — leave that to the actual experts. The Data Management Pizza Pie.

Data Governance 52

Data Governance Enterprise Management Data Quality 52

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. Data Governance Framework: Three Steps to Successful and Sustainable Implementation.

Metadata 75

Metadata Data Governance Management Digital Transformation 75

TDAN

JANUARY 19, 2021

In October 2020, the Office of the Comptroller of the Currency (OCC) announced a $400 million civil monetary penalty against Citibank for deficiencies in enterprise-wide risk management, compliance risk management, data governance, and internal controls.

Data Governance 80

Data Governance Risk Management Risk Management 80

Alation

SEPTEMBER 9, 2021

Internal and external auditors work with many different systems to ensure this data is protected accordingly. This is where data governance comes in: A robust program allows banks and financial institutions to use this data to build customer trust and still meet compliance mandates. What is Data Governance in Banking?

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

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 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

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Whether data protection regulations like GDPR, CCPA, HIPAA, etc. Proper levels of data protection and data security.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

IBM Big Data Hub

APRIL 25, 2023

We also made the case that query and reporting, provided by big data engines such as Presto, need to work with the Spark infrastructure framework to support advanced analytics and complex enterprise data decision-making. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

IBM Big Data Hub

JANUARY 5, 2023

Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

IBM Big Data Hub

APRIL 8, 2024

In a world where every company is now a technology company, all enterprises must become well-versed in managing their digital products to remain competitive. In other words, they need a robust digital product lifecycle management (PLM) strategy. Data is an asset, but to provide value, it must be organized, standardized and governed.

Data-driven 56

Data-driven Management Data Governance Strategy 56