IBM Big Data Hub

APRIL 8, 2024

The key foundation of a strong PLM strategy is healthy and orderly product data, but data management is where enterprises struggle the most. To take advantage of new technologies such as AI for product innovation, it is crucial that enterprises have well-organized and managed data assets.

Data-driven 61

Data-driven Management Data Governance Strategy 61

DataKitchen

MAY 10, 2021

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . Beginners: Ensure that your methodology, governance, and operations processes are agile and adaptive. . Blog: What is DataOps ? Forrester recommends: .

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

IBM Big Data Hub

FEBRUARY 5, 2024

For federal and state governments and agencies, identity is the crux of a robust security implementation. Numerous individuals disclose confidential, personal data to commercial and public entities daily, necessitating that government institutions uphold stringent security measures to protect their assets.

Risk 96

Risk Cost-Benefit Measurement Management 96

IBM Big Data Hub

SEPTEMBER 20, 2023

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. Agency for International Development’s Global Health Supply Chain Program.

Cost-Benefit 110

Cost-Benefit Digital Transformation Technology Modeling 110

The Data Visualisation Catalogue

FEBRUARY 2, 2024

Essentially, this is a visual enhancement to a graph, which offers more detail and context to data changing over time. Area Bands enhance standard Line Graphs by filling the space between upper and lower value lines with a shaded area, providing a visual representation of the range boundaries.

Snapshot 87

Snapshot Visualization Marketing Reporting 87

IBM Big Data Hub

JANUARY 23, 2023

If you’re in charge of managing data at your organization, you know how important it is to have a system in place for ensuring that your data is accurate, up-to-date, and secure. That’s where data governance comes in. What exactly is data governance and why is it so important?

Data Governance 73

Data Governance Data Quality Management IT 73

IBM Big Data Hub

JANUARY 15, 2024

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Two critical elements driving this digital transformation are data and artificial intelligence (AI).

Machine Learning 69

Machine Learning Digital Transformation Modeling Data Collection 69

Alation

JANUARY 20, 2022

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. But what about governance rules that enforce quality?

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

IBM Big Data Hub

NOVEMBER 27, 2023

That’s why we continue expanding the IBM and AWS collaboration, providing clients flexibility to build and govern their AI projects using the watsonx AI and data platform with AI assistants on AWS. The watsonx.governance toolkit and watsonx.ai For more information about the IBM and AWS partnership, please visit www.ibm.com/aws.

Consulting 79

Consulting Software Optimization Metrics 79

IBM Big Data Hub

OCTOBER 16, 2023

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. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

Risk 77

Risk Modeling Management Metadata 77

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality.

Insurance 74

Insurance Risk Testing Data Quality 74

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . But first, let’s define the data mesh design pattern.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

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. Maturity Levels.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

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 94

Strategy Data Architecture Cost-Benefit Reporting 94

TDAN

DECEMBER 5, 2023

In the era where data powers digital transformation and informs the growing number of data products, it is critical that data practitioners have a common understanding of the things that make up a data governance program. The truth […]

Data Governance 52

Data Governance Digital Transformation IT Management 52

Andrew White

JULY 5, 2023

I blogged recently about the high level of hype and confusion across Data and Analytics just a few months ago. Here is the original blog from March 2023: Summing Up Three Days at Gartner’s Data and Analytics Conference in Orlando, Florida, USA. The fact that there are different names is one thing.

Metrics 52

Metrics Metadata Modeling Data Quality 52

IBM Big Data Hub

APRIL 4, 2024

Lots of innovation is happening, with new technologies emerging in areas such as data and AI, payments, cybersecurity and risk management, to name a few. Why a FS Cloud and FS Validation Program? With IBM’s ISV Validation program, banks can confidently adopt new innovative offerings on cloud and stay ahead in the innovation race.

Cost-Benefit 61

Cost-Benefit Risk Management Risk Digital Transformation 61

Alation

APRIL 13, 2021

Much of his work focuses on democratising data and breaking down data silos to drive better business outcomes. In this blog, Chris shows how Snowflake and Alation together accelerate data culture. He shows how Texas Mutual Insurance Company has embraced data governance to build trust in data.

Insurance 98

Insurance Data Governance Data-driven Metrics 98

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

erwin

OCTOBER 8, 2020

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. Then you must bulk load the legacy data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

TDAN

AUGUST 31, 2021

A common misconception among c-level executives is that governance and management of data is the same thing other than in capital letters. Yet, there are some crucial differences between these two terms that should be understood before working on a project or implementing a program.

Data Governance 135

Data Governance Management Metadata Data Strategy 135

Alation

JANUARY 30, 2023

Alation launched the Data Intelligence Project in summer 2021 to train the next generation of data leaders by providing learning opportunities with Alation in the classroom. In this blog, we’ll reveal how Professor McMahon encountered Alation and launched the program in his own school — and how he plans to develop it for the future.

Data Governance 52

Data Governance Metadata Data-driven Software 52

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. Silos exist naturally when data is managed by multiple operational systems.

Data Governance 52

Data Governance Data-driven Strategy Management 52

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. Metadata Management Takes Time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

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

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. We didn’t use the data from these respondents; in practice, discarding this data had no effect on the results.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

IBM Big Data Hub

AUGUST 2, 2023

Companies rely heavily on data and analytics to find and retain talent, drive engagement, and improve productivity. However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent. According to a Gartner report , poor data quality costs organizations an average of USD $12.9

Data Quality 65

Data Quality Snapshot Data Governance Data-driven 65

IBM Big Data Hub

OCTOBER 12, 2023

Throughout the event, there was unanimous agreement that governance and trust are critical for hardening generative AI for real world applications. The solution provides pre-trained models based on specific programming languages to ensure trust and efficiency for accurate code generation.

Consulting 67

Consulting Data Processing Technology Strategy 67

erwin

JULY 9, 2021

For many organizations, data is the heart of the business, and data intelligence is the key differentiator. 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.

Data Governance 59

Data Governance Business Driver Strategy Statistics 59

CIO Business Intelligence

MARCH 3, 2024

Quocirca acknowledged many instances of data loss through unsecured printing were simply the result of printed output falling into the wrong hands. All data that appears in printed output passes through the printer in digital format with the potential for compromise. Doing penetration testing.

IT 111

IT Measurement Risk Testing 111

Alation

FEBRUARY 14, 2023

In this day and age, regardless of industry, keeping data protected and its uses understood is vital. No business wants to have the PR nightmare of a data leak or personal data being used without the correct permissions. This is where successful data governance programs can act as a savior to many organizations.

Data Governance 52

Data Governance ROI Metrics Cost-Benefit 52

IBM Big Data Hub

SEPTEMBER 1, 2023

Cyberthreats can range from the obvious, such as an email from a foreign potentate offering a small fortune if you’ll just provide your bank account number, to the deviously stealthy, such as a line of malicious code that sneaks past cyberdefenses and lives on the network for months or years before triggering a costly data breach.

IoT 112

IoT Internet of Things Software Behavioral Analytics 112

Depict Data Studio

JULY 4, 2022

I work as a program analyst for a government agency, and it is my job to find ways to improve the efficiency of day-to-day program operations. Not knowing where to begin, I searched the internet and found the Depict Data Studio website. So for a long time, I sufficed with Ann’s free resources and blog posts.

Dashboards 123

Dashboards Reporting Management IT 123

CIO Business Intelligence

MARCH 7, 2023

Generative AI – that is, AI that can create its own information, whether that’s text, images or otherwise – is very much the technology of the moment, with ChatGPT and generative art program DALL-E 2 wowing users. Yet, Salesforce warns, there are real downsides to slapdash or careless development of generative AI systems.

Predictive Analytics 111

Predictive Analytics Data-driven Sales Software 111

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 Digital Transformation Cost-Benefit 145

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. During times of crises, many of the less critical programs of work may be put on hold however ground-breaking they are. Deploying a Data Governance Strategy. Neither of these are a sound strategy.

Data Governance 144

Data Governance Metadata Risk Strategy 144

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. The key is active and ongoing monitoring of prognostic health data. Cloudera is foundational in how we track and govern our data.” .

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98