CIO Business Intelligence

NOVEMBER 21, 2023

Set parameters and emphasize collaboration To address one root cause of shadow IT, CIOs must also establish a governance and delivery model for evaluating, procuring, and implementing department technology solutions. There may be times when department-specific data needs and tools are required.

IT 129

IT Risk Cost-Benefit Risk Management 129

Alation

JULY 15, 2022

And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens. A narrow focus has meant that a lot of organisations haven’t taken a step back and frankly assessed the collateral created to transform the organisation. Data Value.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

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. Managing metadata should not be a sub-goal of data governance. The Role of Metadata in Data Governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

CIO Business Intelligence

FEBRUARY 7, 2024

Digital transformation and growing reliance on third-party services are key contributors as well, she adds. In the predominantly SaaS applications-based IT architecture, bidirectional data flow between applications is best enabled via APIs,” he says.

Business Objectives 121

Business Objectives Cost-Benefit Strategy Data-driven 121

Alation

DECEMBER 9, 2021

Then, we’ll dive into the strategies that form a successful and efficient cloud transformation strategy, including aligning on business goals, establishing analytics for monitoring and optimization, and leveraging a robust data governance solution. What is Cloud Transformation? Enhanced Cost Management.

Cost-Benefit 52

Cost-Benefit Data Governance Optimization Data Processing 52

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. Managing metadata should not be a sub-goal of data governance. The Role of Metadata in Data Governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

CIO Business Intelligence

DECEMBER 11, 2023

Treading slowly so AI doesn’t ‘run amok’ The Laborer’s International Union of North America (LIUNA), which represents more than 500,000 construction workers, public employees, and mail handlers, has dipped its toes into using AI, mainly for document accuracy and clarification, and for writing contracts, says CIO Matt Richard.

Modeling 127

Modeling Risk Strategy Software 127

erwin

AUGUST 28, 2020

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Is Data Governance?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. With data lineage, every object in the migrated system is mapped and dependencies are documented.

Cost-Benefit 100

Cost-Benefit Metadata Data Governance Reporting 100

erwin

FEBRUARY 19, 2021

Empower stakeholders to see data in one place and in the context of their roles. The Benefits of Metadata Management. Better data quality. With automation, data quality is systemically assured with the data pipeline seamlessly governed and operationalized to the benefit of all stakeholders.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. taxpayer details and needs to quickly analyze petabytes of data across hundreds of servers.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

IBM Big Data Hub

OCTOBER 20, 2023

These development platforms support collaboration between data science and engineering teams, which decreases costs by reducing redundant efforts and automating routine tasks, such as data duplication or extraction. forums, documentation, customer support) can also be invaluable for troubleshooting issues and sharing knowledge.

Machine Learning 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

Sisense

JULY 6, 2020

Inaccurate data leads to generating unreliable insights which, in the long run, lead the business in the wrong direction. This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. This results in more flexibility and upselling opportunities, and lower customer acquisition costs. 3) The Growing Need For API Connections.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

Grooper

AUGUST 19, 2019

C-level executives and professionals alike must learn to speak a new language - data. This critical capability propels organizations forward in today's digital-first era. The benefit of speaking data, a.k.a. ISL is also the foundation for the process of transforming data into wisdom and successful master data management.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

IBM Big Data Hub

AUGUST 15, 2023

To overcome these challenges will require a shift in many of the processes and models that businesses use today: changes in IT architecture, data management and culture. Here are some of the ways organizations today are making that shift and reaping the benefits of AI in a practical and ethical way.

IT 81

IT Data Governance Modeling Cost-Benefit 81

erwin

MARCH 28, 2019

It also combines process/ workflow, functional, organizational and data/resource views with underlying metrics such as costs, cycle times and responsibilities to provide a foundation for analyzing value chains, activity-based costs, bottlenecks, critical paths and inefficiencies. Democratization of information.

Modeling 71

Modeling Digital Transformation Cost-Benefit Visualization 71

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 98

Digital Transformation Strategy Metadata Data-driven 98

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Alation

OCTOBER 4, 2022

Today, the rise of digital insurance companies and the changing risk landscape together drive the industry’s digital transformation. As the volume, veracity, variety, and volume of data expands, insurance companies need a stable framework to govern data and democratize access. Why is it Important?

Insurance 52

Insurance Data Governance Risk Strategy 52

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 76

Management Risk Measurement Optimization 76