erwin

DECEMBER 3, 2020

Ultra Mobile recently shared how it uses erwin Data Intelligence (erwin DI) as part of a modern, ongoing approach to data governance and therefore control versus chaos. To manage not only risk but also to grow and compete effectively requires the ability to deal with both planned and unplanned change.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

erwin

JULY 22, 2020

Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. For E.ON, data governance is not just about data management but also about using information to increase efficiencies.

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

IBM Big Data Hub

MAY 28, 2024

A good DLM process can help organize and structure critical data, particularly when organizations rely on diverse types of data storage. It can also help them reduce vulnerabilities and ensure data is efficiently managed, compliant with regulations, and not at risk of misuse or loss.

Strategy 83

Strategy Measurement Risk Cost-Benefit 83

Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

Cloudera

AUGUST 12, 2021

Risk Management. A 2019 HBR article mentioned how organizational decisions backed by data have instilled more confidence and reduced risk. One of the more obvious use cases of data’s role in reducing risk is insurance policies. MetLife then reaches out to specific drivers to urge them to take precautions. .

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

Cloudera

OCTOBER 26, 2020

To be able to capitalize on this data storm, organizations must find a better balance between the security and usability related to data access. Founded in good data governance, three fundamental steps ensure access to data is both secure and usable. . Quickly onboard data. With no compromise required.

IT 122

IT Unstructured Data Data-driven Data Governance 122

Anmut

MARCH 22, 2023

As such, rudimentary data is used for reporting purposes, but it doesn’t influence wider business operations or strategic decision-making. This stage is typical for organisations that are just starting to develop their data strategy. Data lineage is understood, but only partially mapped.

Measurement 52

Measurement Modeling Data Quality Data Governance 52

Alation

MAY 19, 2022

Gartner Data & Analytics Summit 2022: Keynote Highlights. A Gartner survey found that 57% of Boards of Directors have increased their risk appetites, and data & analytics are fueling more risky (and potentially rewarding) projects. Leaders agree: Data needs to drive business results. Data Governance.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

Cloudera

JANUARY 27, 2022

I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon customer opt-in. I recently attended one of Majesco’s excellent webinars hosted by Denise Garth, Chief Strategy Officer. Always Mindful of Privacy.

Insurance 87

Insurance IoT Risk Data Processing 87

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Alation

JANUARY 19, 2023

The words “ data governance ” and “fun” are seldom spoken together. The term data governance conjures images of restrictions and control that result in an uphill challenge for most programs and organizations from the beginning. Or they are spending too much time preparing the data for proper use.

Data Governance 94

Data Governance IT Metadata Recreation/Entertainment 94

Alation

MARCH 7, 2023

Using Alation has helped us create a much more efficient data discovery process because our analysts can understand the data, see how it is defined, who is using it, and the types of queries being written against it. Best of all, Alation makes our data searchable. We are treating Alation in the same way.

Data-driven 52

Data-driven Forecasting Data Science Optimization 52

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Data Governance Bottlenecks. Regulations.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Cloudera

NOVEMBER 2, 2021

Data governance: three steps to success. It is safe to assume that businesses understand the importance of good data governance. Afterall, lack of good data governance practices creates substantial liabilities, from regulatory fines to brand erosion. Know what data you have.

Data Governance 100

Data Governance Data-driven Data Processing Risk 100

CIO Business Intelligence

JULY 28, 2023

For example, it can also provide additional information on the data’s source and value. As well as supporting data governance, it enhances data accuracy. It is vital to map relationships between data entities to reduce redundancies and make analysis more accurate by reducing errors and repetition.

Risk 98

Risk Data Governance Enterprise Data Integration 98

erwin

APRIL 4, 2019

A strong data governance framework is central to the success of any data-driven organization because it ensures this valuable asset is properly maintained, protected and maximized. But despite this fact, enterprises often face push back when implementing a new data governance initiative or trying to mature an existing one.

Data Governance 75

Data Governance Data Quality Risk Management Data-driven 75

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. There were 80 or so questions or comments posted and I was not able to respond to all of them live in the webinar so here are the verbatim questions and an individual response to each on. I hope they are helpful.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Anmut

APRIL 6, 2021

trillion every year due to poor data quality. Poor data quality leads to operational inefficiencies, security and compliance risks, a poor customer experience and loss of brand reputation. . Why data assets matter . IBM also discovered that organisations in the US lose $3.1 That’s not all. Read More Insights.

Digital Transformation 52

Digital Transformation Enterprise Data Quality Data-driven 52

Octopai

NOVEMBER 23, 2020

There are three primary challenges when it comes to building this inventory: Identifying LIBOR-related data across the entire BI landscape (ETL, DWH, Reporting) Tracing the lineage of this data across systems; Guaranteeing the accuracy of potentially affected data and its completeness.

Metadata 54

Metadata Enterprise Business Intelligence Data Governance 54

Birst BI

SEPTEMBER 17, 2019

Attend Oct 10 webinar ‘Governance in the Age of AI’ with Brad Peters, Infor’s SVP and GM of Analytics and BI. However, applying AI to ungoverned data sets without human oversight creates a risk of inaccuracy and unreliability in the insights delivered to the business user or decision-maker. Register now.

Visualization 45

Visualization Risk Reporting Enterprise 45

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52

Alation

MAY 27, 2021

For data-driven enterprises, data governance is no longer an option; it’s a necessity. Businesses are growing more dependent on data governance to manage data policies, compliance, and quality. For these reasons, a business’ data governance approach is essential. Data Democratization.

Data Governance 98

Data Governance Data Quality Enterprise Risk 98

erwin

AUGUST 31, 2023

Agile Modeling : Agile methodologies introduced flexibility, allowing data models to evolve alongside changing business needs. Data Governance : Incorporating data governance principles enabled better data management, ensuring data accuracy, consistency, and compliance. by Quest ®.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

DECEMBER 8, 2022

Data governance is growing in urgency and prominence. As regulations grow more complex (and compliance fines more onerous) organizations aren’t just adapting data governance frameworks to drive compliance – they’re leveraging governance to fuel a growing range of use cases, from collaboration to stewardship, discovery, and more.

Data Governance 52

Data Governance Data-driven Strategy Risk 52