CIO Business Intelligence

MARCH 4, 2024

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

Insurance 95

Insurance Strategy Data Governance Data Integration 95

DataKitchen

MAY 10, 2024

This blog post introduces five critical use cases for data observability, each pivotal in maintaining the integrity and usability of data throughout its journey in any enterprise. Data Evaluation Before new data sets are introduced into production environments, they must be thoroughly evaluated and cleaned.

Data Quality 141

Data Quality Dashboards Strategy Testing 141

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

IBM Big Data Hub

DECEMBER 20, 2023

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. What is an AI strategy? A successful AI strategy should act as a roadmap for this plan.

Strategy 74

Strategy Business Objectives Cost-Benefit Consulting 74

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 96

Data Governance Enterprise Data Quality Metadata 96

CIO Business Intelligence

MAY 27, 2024

Business leaders 10 years ago mostly focused on automation since the main objective of technology investment then was to drive down costs, decrease risk, and boost efficiency. It’s a different world today. Of course, technology should still boost cost efficiencies, but it also needs to drive revenue at the same time.

IT 91

IT Strategy Risk Technology 91

CIO Business Intelligence

APRIL 1, 2024

The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. Reach consensus on strategy. Low-cost proof-of-concepts can help you reduce the risk of overprovisioning.

Data Lake 137

Data Lake Consulting Uncertainty Risk 137

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

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. First, enterprises have long struggled to improve customer, employee, and other search experiences.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 99

Data Governance Unstructured Data Metadata Data Lake 99

Ontotext

MARCH 8, 2023

Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Each team and system need to keep diverse sets of data about their customers in order to play their specific role – inadvertently leading to siloed experiences.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

CIO Business Intelligence

MARCH 24, 2023

The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.” Such a framework provides your organization with a holistic approach to collecting, managing, securing, and storing data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Octopai

JUNE 26, 2020

Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Enterprise data governance. Enterprises, such as Steve’s company, understand that they need a proper data governance strategy in place to successfully manage all the data they process.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

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-driven 57

Data-driven Enterprise Data Governance Data Lake 57

CIO Business Intelligence

MAY 2, 2023

Despite the best of intentions, CIOs and their organizations often struggle to deliver business outcomes from digital transformation strategies. And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail. Five years ago, I shared that the No.

Digital Transformation 140

Digital Transformation IT Data-driven Metrics 140

IBM Big Data Hub

MAY 9, 2024

Healthcare organizations need a strong data governance framework to help ensure compliance with regulations like the Health Insurance Portability and Accountability Act of 1996 (HIPAA) in the US and the General Data Protection Regulation (GDPR) in the EU. That’s exactly what enterprise-wide data lineage does.

Data Governance 70

Data Governance Data Quality Insurance Predictive Analytics 70

CIO Business Intelligence

DECEMBER 8, 2023

But as the numbers of new gen AI-powered chatbots grow, so do the risks of their occasional glitches—nonsensical or inaccurate outputs or answers that are not easily screened out of the large language models (LLMs) that the tools are trained on. Minimizing risk Many companies are starting to invest in mitigating risk.

Risk 122

Risk Finance Data Quality Modeling 122

CIO Business Intelligence

JANUARY 9, 2024

But they are being grilled in executive suites and boardrooms, as enterprise leaders turn to their technology chiefs with all sorts of challenging questions that CIOs are expected to answer. Enterprise investments in AI are paying off — big time. Can the current state of our data operations deliver the results we seek?

IT 136

IT Risk Cost-Benefit Enterprise 136

DataRobot Blog

MAY 26, 2022

In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods. The decreasing default risk with increasing salary suggests that higher income applicants pose less credit risk to the bank.

Risk 52

Risk Modeling Metrics Business Objectives 52

CIO Business Intelligence

MARCH 27, 2023

They’re spending a lot of time on things like data quality, data management, things that might be tactical, helping with operational aspects of IT. Organizations are still investing in data and analytics functions. CDAOs must have a talent strategy that doesn’t count on hiring data and analytics talent ready-made.”

Data-driven 145

Data-driven Data Quality Strategy Reporting 145

CIO Business Intelligence

APRIL 19, 2023

Moving data into a cloud-based environment enables faster data sharing, improves workflows, and can ease workloads on mainframe systems and data centers. But moving critical infrastructure out of the data center is a process that is easier said than done. Enterprises store a vast amount of data.

Digital Transformation 96

Digital Transformation Data Governance Unstructured Data Risk 96

erwin

JULY 12, 2019

The complexity of regulatory requirements in and of themselves is aggravated by the complexity of the business and data landscapes within most enterprises. First you need to analyze and design your compliance strategy and tactics, and then you need to operationalize them. Five Steps to GDPR/CCPA Compliance. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

IBM Big Data Hub

JANUARY 15, 2024

Enterprises now recognize the importance of leveraging innovative technologies to drive digital transformation and achieve cost efficiency. How do organizations avoid the digital risks of ‘technology misuse’ and achieve efficient innovation that ‘technology promotes production’?

Digital Transformation 70

Digital Transformation Insurance Optimization ROI 70

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 128

Digital Transformation Strategy Data-driven Data Strategy 128

CIO Business Intelligence

MARCH 7, 2024

In my recent column, I delved into the challenges enterprises face in integrating AI into the workplace and outlined strategies for CISOs to monitor or control the use of AI effectively. How has AI penetrated the typical enterprise? There is also the concern about using data.

Digital Transformation 72

Digital Transformation Machine Learning Risk Testing 72

Ontotext

SEPTEMBER 1, 2023

Enterprises worldwide are analyzing Generative AI capabilities and seeking ways to leverage them for a variety of use cases to improve their competitive edge and incorporate automation and efficiency. Additionally, data is the fulcrum of AI, and the data used to train LLMs must be properly governed and controlled.

Risk 52

Risk Modeling Data Quality Data Governance 52

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Alation

JULY 15, 2022

Data ethics is both an imperative and an opportunity. New regulations covering data privacy and other ethical concerns require that enterprises govern internal data processes according to these new laws. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

O'Reilly on Data

NOVEMBER 28, 2023

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. What’s the reality? Only 4% pointed to lower head counts.

Enterprise 271

Enterprise Modeling Testing Reporting 271

IBM Big Data Hub

NOVEMBER 24, 2023

Application modernization starts with assessment of current legacy applications, data and infrastructure and applying the right modernization strategy (rehost, re-platform, refactor or rebuild) to achieve the desired result. Duplicative capabilities across applications and channels give rise to duplicative IT resources (e.g.,

Cost-Benefit 94

Cost-Benefit Testing Data-driven Enterprise 94

Alation

AUGUST 17, 2022

We’ve seen the emergence of new, less invasive approaches, yet the question remains: What do CIOs think is most required to deliver a successful data governance program? The Risks of Early Data Governance Programs. The biggest risk was a lack of ownership. If your definitions are bad, so is your governance/risk/security.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

erwin

SEPTEMBER 13, 2022

With robust data intelligence and governance in place, organizations can safeguard and guarantee data is utilized responsibly to minimize business risk, as well as ensure it is easily accessible to all who need it to make data-driven decisions and take action. Learn how to maximize the business impact of your data.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

datapine

JANUARY 24, 2021

It is not just important to gather all the existing information, but to consider the preparation of data and utilize it in the proper way, has become an indispensable value in developing a successful business strategy. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. Changing the game with knowledge graphs So how does knowledge graph technology help enterprises in the Financial Services Industry become data-driven?

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

CIO Business Intelligence

SEPTEMBER 20, 2023

Mark Booth: We have a growth strategy to improve our business, and to support that, we’re driving a transformation in technology and business processes. But the more challenging work is in making our processes as efficient as possible so we capture the right data in our desire to become a more data-driven business.

Data Lake 130

Data Lake Data-driven Dashboards Risk 130