Cloudera

JUNE 27, 2023

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. There are savings to be made in modernizing the data stack itself, in addition to applying data across the enterprise.

Data Architecture 61

Data Architecture Predictive Modeling Data Governance Data-driven 61

IBM Big Data Hub

OCTOBER 16, 2023

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities.

Risk 77

Risk Modeling Management Metadata 77

erwin

FEBRUARY 13, 2020

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Data Governance Attitudes Are Shifting. Metadata Management Takes Time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

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

IBM Big Data Hub

NOVEMBER 28, 2022

Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. What is Active Metadata management?

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

Cloudera

NOVEMBER 1, 2022

It’s no secret that IT modernization is a top priority for the US federal government. These systems also pose security risks, including the inability to use current security best practices, such as data encryption and multi-factor authentication, making these systems particularly vulnerable to malicious cyber activity.

Cost-Benefit 83

Cost-Benefit Data Architecture Risk IoT 83

Alation

FEBRUARY 10, 2021

The way enterprises implement data governance is changing. In the past, data governance either emphasized exercising tight control over data or fitting people into rigid roles and processes. With both approaches, data governance is a hurdle to productive data & analytics rather than an enabler.

Data Governance 52

Data Governance Data-driven Enterprise Risk 52

Alation

FEBRUARY 3, 2022

The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms. So how does data governance relate to DataOps?

Data Governance 98

Data Governance Measurement Metadata Testing 98

IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. and its leading data observability offerings.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

IBM Big Data Hub

MARCH 25, 2024

This blog and the IBM Institute for Business Value study The Revolutionary Content Supply Chain aim to answer these questions to help executives and their employees to better understand the changing landscape in content creation and embrace the power of generative AI models when it comes to optimizing their content supply chains.

Uncertainty 106

Uncertainty Cost-Benefit Risk Measurement 106

IBM Big Data Hub

MAY 2, 2023

Thanks to systems like ChatGPT, just about anyone can now use advanced AI models that are not only capable of detecting patterns, honing data, and making recommendations as earlier versions of AI would, but also moving beyond that to create new content, develop original chat responses, and more.

Risk 105

Risk Modeling Technology Interactive 105

IBM Big Data Hub

SEPTEMBER 15, 2023

For example, the regulated disclosures could be anything from estimates around Scope 3 emissions, to investor-grade data. The process will accelerate the pace at which ESG data will need to be collected, verified, and incorporated into these financially material investor disclosures.

Risk 80

Risk Reporting Data-driven Publishing 80

erwin

MARCH 25, 2021

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

Data Governance 109

Data Governance IT Cost-Benefit Risk 109

Laminar Security

NOVEMBER 1, 2023

Data is more critical than ever in 2023. Even if teams are actively seeking to improve their data security, it’s challenging to do so within today’s multi-cloud environments. Even if teams are actively seeking to improve their data security, it’s challenging to do so within today’s multi-cloud environments.

Data Science 94

Data Science Risk Enterprise Technology 94

IBM Big Data Hub

APRIL 27, 2023

While many organizations have established environmental, social and governance (ESG) goals and made ESG commitments, driven by purpose and emerging regulatory requirements, they face several challenges when making the transition from ambition to action.

Metrics 86

Metrics Cost-Benefit Reporting Manufacturing 86

erwin

JUNE 22, 2020

It describes an unfortunate reality for many data stewards, who spend 80 percent of their time finding, cleaning and reorganizing huge amounts of data, and only 20 percent of their time on actual data analysis. Earlier this year, erwin released its 2020 State of Data Governance and Automation (DGA) report.

Metadata 105

Metadata Data Governance Digital Transformation Measurement 105

IBM Big Data Hub

FEBRUARY 13, 2024

Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms. For sourcing teams, that means pivoting their mindset around selecting suppliers from a tactical, lowest-cost-above-all approach to a strategic one.

Cost-Benefit 86

Cost-Benefit Scorecard Risk Recreation/Entertainment 86

erwin

SEPTEMBER 3, 2020

Why should you integrate data governance (DG) and enterprise architecture (EA)? Data governance provides time-sensitive, current-state architecture information with a high level of quality. It documents your data assets from end to end for business understanding and clear data lineage with traceability.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

erwin

JULY 22, 2020

Fostering organizational support for a data-driven culture might require a change in the organization’s culture. 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. As an example, E.ON Avoiding Hurdles.

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

Cloudera

JANUARY 26, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 72

Metadata Data Governance Management Finance 72

IBM Big Data Hub

MARCH 20, 2024

For highly regulated industries, these challenges take on an entirely new level of expectation as they navigate evolving regulatory landscape and manage requirements for privacy, resiliency, cybersecurity, data sovereignty and more. This means actively minimizing downtime and closing gaps in the supply chain to remain competitive.

Risk Management 80

Risk Management Risk Enterprise Business Services 80

IBM Big Data Hub

DECEMBER 15, 2023

Read our guide for sustainability leaders Business activities that contribute to carbon emissions and fossil fuels also forced organizations and policymakers to hold leaders accountable for their actions against environmental impact. Some of the first teachings about improving the planet seem simple: reduce, reuse, recycle.

Consulting 73

Consulting Manufacturing Strategy Risk Management 73

DataKitchen

JUNE 7, 2021

This is a common question that we hear from our conversations with data scientists, engineers and analysts. There are small but impactful things that an individual contributor can do to move forward. Yet, many are surprisingly unanalytical about the activities relating to their own work. What can you do?

Testing 130

Testing IT Measurement Data-driven 130

CIO Business Intelligence

OCTOBER 23, 2023

In the Equinix 2023 Global Tech Trends Survey (GTTS), 68% of global IT leaders said that the environmental impact of their IT equipment and infrastructure is something they measure and actively try to limit. AI inference workloads are very latency-sensitive, as they require a constant stream of near real-time data from many different sources.

Enterprise 124

Enterprise Digital Transformation Strategy Data Processing 124

IBM Big Data Hub

FEBRUARY 23, 2024

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. Yet many organizations still struggle to meet compliance requirements, and EU data protection authorities do not hesitate to hand out penalties. Irish regulators hit Meta with a EUR 1.2 billion fine in 2023.

Measurement 83

Measurement Risk Data Collection Data Processing 83

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Cloudera

AUGUST 10, 2021

We understand that migrating your data platform to the latest version can be an intricate task, and at Cloudera we’ve worked hard to simplify this process for all our customers. . SDX enhancements for improved platform and data governance, including the following notable features: . please review the Release Summary.

Metadata 96

Metadata Sales Statistics Management 96

IBM Big Data Hub

JULY 26, 2023

AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure. At the same time, you want to reduce the carbon footprint associated with moving and storing stock. Compute optimization: Data centers consume a huge amount of electricity.By

Optimization 80

Optimization Manufacturing Cost-Benefit Risk 80

Alation

JULY 13, 2021

Yet increasing complexity of data makes the old “lift-and-shift” model not just unrealistic, but risky. Businesses with complex data environments need a migration method that takes that complexity into account. The Data Race to the Cloud. This recent cloud migration applies to all who use data. Fern Halper, Ph.D.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Cloudera

MARCH 25, 2021

Data privacy is an increasingly complex and contentious topic. The appropriate use of data and transparency to the potential uses of the data are at the center of debate amongst the largest Big Tech companies. . Virginia’s law will go into effect on January 1, 2023.

Data Strategy 64

Data Strategy Strategy Enterprise Insurance 64

Cloudera

MARCH 4, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 52

Metadata Data Governance Management Finance 52

erwin

JANUARY 7, 2021

Our predictions for 2021 are rooted in what we’ve learned from the past year and the relevance of data in getting us to where we are and where we need to go. Historically, moving legacy data to the cloud hasn’t been easy or fast. However, that definition is too narrow in terms of AI’s relation to data governance.

Metadata 98

Metadata Data Governance Internet of Things IoT 98

Alation

JULY 26, 2021

How do you initiate change within a system containing many thousands of people and millions of bytes of data? During my time as a data specialist at American Family Insurance, it became clear that we had to move away from the way things had been done in the past. So you can probably imagine: The company manages a lot of data.

Insurance 98

Insurance Digital Transformation Enterprise Data Governance 98

datapine

MARCH 20, 2019

A report from McKinsey suggests that leveraging data to create more proficient marketing reports and to make more informed decisions can boost marketing productivity by 15 to 20%, which translates to as much as $200 billion based on the average annual global marketing spend of $1 trillion per year. What Is Financial Reporting?

Reporting 248

Reporting Finance Snapshot Dashboards 248

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Operational efficiency across activities such as platform management / database administration, security and governance, and agile development (e.g., Technology Cost Optimization.

Cost-Benefit 91

Cost-Benefit Optimization Risk Management 91

IBM Big Data Hub

MARCH 27, 2024

The company is working with extremely high volumes of data and expects this situation to continue or grow. So, you’ve got a ton of assets earmarked for data storage , with many more workloads on the way. Your business isn’t expecting this data to collect dust in a vault, either. What is a hyperscale data center?

Cost-Benefit 109

Cost-Benefit Internet of Things Recreation/Entertainment Marketing 109

Alation

MARCH 29, 2022

Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first. But there have always been limits on who can access valuable data, as well as how it can be used. In the 1970s, data was confined to mainframes and primitive databases.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96