erwin

MAY 31, 2019

It’s time to consider data-driven enterprise architecture. The traditional approach to enterprise architecture – the analysis, design, planning and implementation of IT capabilities for the successful execution of enterprise strategy – seems to be missing something … data. That’s right.

Data-driven 104

Data-driven Enterprise Metadata Strategy 104

CIO Business Intelligence

JANUARY 22, 2024

As enterprises become more data-driven, the old computing adage garbage in, garbage out (GIGO) has never been truer. The application of AI to many business processes will only accelerate the need to ensure the veracity and timeliness of the data used, whether generated internally or sourced externally.

Data Strategy 131

Data Strategy Strategy Data-driven Enterprise 131

IBM Big Data Hub

FEBRUARY 19, 2024

The pandemic and its aftermath highlighted the importance of having a robust supply chain strategy , with many companies facing disruptions due to shortages in raw materials and fluctuations in customer demand. Here’s how companies are using different strategies to address supply chain management and meet their business goals.

Strategy 84

Strategy Management Forecasting Cost-Benefit 84

IBM Big Data Hub

FEBRUARY 13, 2024

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 122

Enterprise Modeling Testing Data-driven 122

CIO Business Intelligence

JANUARY 11, 2024

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention. Artificial Intelligence

Enterprise 125

Enterprise Uncertainty Risk Management Reporting 125

CIO Business Intelligence

NOVEMBER 14, 2023

The Internet of Things (IoT) is a permanent fixture for consumers and enterprises as the world becomes more and more interconnected. IoT gives businesses many advantages: enhanced efficiency, data-driven insights, reduced costs, and faster innovation. billion devices reported in 2023.

IoT 129

IoT Enterprise Manufacturing Measurement 129

Cloudera

JUNE 13, 2023

In 2021, ANZ Bank unveiled its strategy to drive digital transformation, increase their speed to market and become more agile. The EBD platform supports more than 10 internal and customer-facing groups with their Data Operations and Data Discovery requirements.

Data-driven 77

Data-driven Analytics Insurance Digital Transformation 77

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. Here are a few common data management challenges: Regulatory compliance on data use. Data quality. Data silos.

Data-driven 57

Data-driven Enterprise Data Governance Data Lake 57

IBM Big Data Hub

SEPTEMBER 6, 2023

Enterprise marketing teams stand to benefit greatly from generative AI, yet introduction of this capability will require new skills and processes. With the right generative AI strategy, marketers can mitigate these concerns. The journey starts with sound data. Thus, the tool has the potential to provide unexpected results.

Marketing 117

Marketing Strategy B2B Cost-Benefit 117

CIO Business Intelligence

JULY 31, 2023

The adoption curve here is by no means gradual, with most enterprise leaders quickly working to harness the technology’s potential mere months after the November 2022 launch of gen AI tool ChatGPT kicked off a wave of enthusiasm (and worry). So, what are the concerns that will complicate the enterprise gen AI playbook?

Strategy 98

Strategy Risk Enterprise Risk Management 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

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

Smart Data Collective

SEPTEMBER 8, 2021

More and more businesses and organizations treat data as an essential asset. The importance of managing and leveraging data cannot be overestimated. The problem is that data can easily take enormous proportions. Thus, finding and isolating relevant data is a daunting task. AI-Powered Tools Can Speed Up Data Analytics.

Data-driven 130

Data-driven Data Analytics Analytics Marketing 130

CIO Business Intelligence

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

bridgei2i

OCTOBER 29, 2020

Case study: Building a Data-driven Collection Channel Allocation Optimization Strategy for an NBFC. Using its accelerator Optimizer, BRIDGEi2i helped them do better Customer Risk Profiling and prioritize case-level allocation. Learn how the right AI strategy can take your business to its pinnacle. Business Context.

Data-driven 52

Data-driven Optimization Strategy Risk 52

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. What Is Model Risk? Types of Model Risk.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

bridgei2i

JUNE 2, 2020

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 7: The Impact of COVID-19 on Financial Services & Risk. The Impact of COVID-19 on Financial Services & Risk Management. Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. Management.

Risk Management 128

Risk Management Risk Enterprise Management 128

CIO Business Intelligence

OCTOBER 16, 2023

Two significant changes have prompted a reassessment: first, business transformation projects necessitate comprehensive process evaluations, so the two domains can’t be viewed separately anymore; second, the growing emphasis on security has highlighted the substantial risks of using outdated, unmonitored technology.

Manufacturing 133

Manufacturing Strategy Cost-Benefit IoT 133

erwin

AUGUST 13, 2020

For enterprise architecture, success is often contingent on having clearly defined business goals. This is especially true in modern enterprise architecture, where value-adding initiatives are favoured over strictly “foundational,” “keeping the lights on,” type duties. big data, analytics and insights)?

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

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. . It won’t matter if you can collect social media data or geo location data, images, etc.

Data Strategy 65

Data Strategy Strategy Enterprise Insurance 65

CIO Business Intelligence

MAY 24, 2024

The added demand for remote access to corporate applications driven by business continuity, customer reach, and newfound employee satisfaction comes with a heightened concern over data security. Most vendor offerings typically seek to address siloed segments, such as network or endpoint security, identity, or data security.

Risk Management 84

Risk Management Data-driven Risk Software 84

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses.

Risk 111

Risk Modeling IT Risk Management 111

CIO Business Intelligence

DECEMBER 13, 2022

Recently, chief information officers, chief data officers, and other leaders got together to discuss how data analytics programs can help organizations achieve transformation, as well as how to measure that value contribution. Supply and consumption are symbiotic principles that together maximize the value of the enterprise data asset.

Data Analytics 104

Data Analytics Strategy Analytics Metrics 104

CIO Business Intelligence

MARCH 9, 2022

Today’s cloud strategies revolve around two distinct poles: the “lift and shift” approach, in which applications and associated data are moved to the cloud without being redesigned; and the “cloud-first” approach, in which applications are developed or redesigned specifically for the cloud.

Strategy 145

Strategy Consulting Risk Testing 145

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 Center Consolidation. Are you ready for it? Digital Transformation.

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

CIO Business Intelligence

SEPTEMBER 19, 2023

And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. Airbnb is one company using AI to optimize pricing on AWS, utilizing AI to manage capacity, to build custom cost and usage data tools, and to optimize storage and computing capacity.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

IBM Big Data Hub

DECEMBER 16, 2022

Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. Building the foundation: data architecture.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

CIO Business Intelligence

AUGUST 17, 2022

Being on the forefront of enterprise storage in the Fortune 500 market, Infinidat has broad visibility across the market trends that are driving changes CIOs cannot ignore. In less than five minutes, you can take hold of useful and relevant information that will help you make more insights-driven decisions over the next six months.

Enterprise 109

Enterprise Cost-Benefit Snapshot Data-driven 109

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

CIO Business Intelligence

JANUARY 23, 2023

A move that is likely to unlock similar investments from competitors — Google in particular — and open the way for new or improved software tools for enterprises large and small. Up to that point, OpenAI had only allowed enterprises and academics access to the software through a limited API.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

Cloudera

DECEMBER 15, 2021

The Cloudera Enterprise Data Maturity Report is a global survey of 3,150 business and IT decision makers assessing organizations’ maturity when it comes to their current capabilities and handling of data and analytics. Organizations with strong DEI strategies perform better. About the report.

Data Strategy 81

Data Strategy Strategy Snapshot Data-driven 81

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? Answers will differ widely depending upon a business’ industry and strategy for growth.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Smart Data Collective

FEBRUARY 10, 2022

We have witnessed some horrifying data breaches over the last year. While large corporations like these will continue to be targets for data breaches, small businesses are also at risk. While large corporations like these will continue to be targets for data breaches, small businesses are also at risk.

Strategy 118

Strategy IoT Risk Data-driven 118

IBM Big Data Hub

APRIL 12, 2022

My first task as a Chief Data Officer (CDO) is to implement a data strategy. Over the past 15 years, I’ve learned that an effective data strategy enables the enterprise’s business strategy and is critical to elevate the role of a CDO from the backroom to the boardroom. Mitigating risk.

Data Strategy 79

Data Strategy Strategy Enterprise Data-driven 79