CIO Business Intelligence

JANUARY 21, 2025

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. Even this breakdown leaves out data management, engineering, and security functions.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

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

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

TDAN

JANUARY 19, 2021

In October 2020, the Office of the Comptroller of the Currency (OCC) announced a $400 million civil monetary penalty against Citibank for deficiencies in enterprise-wide risk management, compliance risk management, data governance, and internal controls.

Data Governance 80

Data Governance Risk Management Risk Management 80

CIO Business Intelligence

DECEMBER 10, 2024

The CIO and CMO partnership must ensure seamless system integration and data sharing, enhancing insights and decision-making. To drive gen-AI top-line revenue impacts, CIOs should review their data governance priorities and consider proactive data governance and dataops practices that go beyond risk management objectives.

Sales 143

Sales Metrics Data-driven Unstructured Data 143

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

CIO Business Intelligence

JULY 23, 2024

Third-party data breaches The CIO’s AI strategies and objectives in driving a data-driven organization result in the addition of many third-party partners, solutions, and SaaS tools. Be paranoid about third-party data breaches and security incidents,” warns Brad Hibbert, COO and chief strategy officer at Prevalent. “Be

Risk 142

Risk IT Risk Management Cost-Benefit 142

CIO Business Intelligence

MARCH 19, 2025

Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. Encourage cross-functional collaboration : Partner with IT, operations and finance teams to align data-driven sustainability efforts with broader business objectives.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

JANUARY 14, 2025

By implementing robust security measures, bias mitigation techniques, and an ethical review process, CIOs can minimize risks and ensure responsible use of AI. CIOs shouldnt be going it alone, says Sesh Iyer, managing director, senior partner and North America co-chair of BCG X, the tech build and design division of Boston Consulting Group.

Strategy 141

Strategy ROI Experimentation Risk 141

erwin

OCTOBER 17, 2019

The Regulatory Rationale for Integrating Data Management & Data Governance. Data security/risk management. EA should be commonplace in data security planning. Data governance. GDPR, HIPAA, SOX, CCPA, etc.)

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

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 Reporting Strategy 52

TDAN

APRIL 6, 2021

There is an ever-increasing awareness of concerns about data privacy, corporate data breaches, increasing demands for regulatory compliance. There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making.

Risk Management 64

Risk Management Risk Management Big Data 64

erwin

JUNE 14, 2019

Four main areas in retail demonstrate digital transformation, with a healthy data governance initiative driving them all. Data can tell you. This article further explores digital transformation and data governance in retail. Digital Transformation in Municipal Government. Risks come with any investment.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

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 Metrics 52

CIO Business Intelligence

MARCH 19, 2025

These include improvements to operational efficiency (56%), bolstering risk management (53%), and elevating decision-making (51%). Of those top motivators, 85% of respondents said they were focused on business optimization, driven by a desire to boost operational efficiency or improve their risk management.

Analytics 52

Analytics Enterprise Risk Management Strategy 52

CIO Business Intelligence

SEPTEMBER 24, 2024

Out of the back office The first wave of CDOs and CDAOs focused on back-office tasks such as data governance, data quality, and data management, but people in the positions now need to become more visible by showing how they bring value to the business, Duncan says.

Data Governance 115

Data Governance Risk Management Risk Data Quality 115

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

erwin

APRIL 29, 2020

For example, capital markets trading firms must understand their data’s origins and history to support risk management, data governance and reporting for various regulations such as BCBS 239 and MiFID II. Data lineage offers proof that the data provided is reflected accurately. Data Governance.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

CIO Business Intelligence

DECEMBER 19, 2023

Not surprisingly, nearly 50% of respondents identified data quality as the top challenge in realizing the potential of generative AI, which requires increasing the scope of dataops and data governance programs to include unstructured data sources and defining where to apply them in LLM experiments.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

NOVEMBER 7, 2024

We are still maturing in this capability, but we have fully recognized that we have shared data responsibilities. We have a data office that focuses on data governance, data domain stewardship, and access, and this group sits outside of IT. Our approach is two-pronged.

Insurance 120

Insurance Experimentation Testing Technology 120

Cloudera

FEBRUARY 4, 2021

Cloudera comprehensively supports the demanding risk and compliance requirements of financial services and insurance organizations globally and it is an honor to receive this recognition. Supporting the industry’s risk data depository and data management needs. Shared Data Experience (SDX).

Risk 88

Risk Marketing Technology Management 88

CIO Business Intelligence

SEPTEMBER 17, 2024

Sponsor for operational and risk management solutions While many business risk areas will find sponsors in operations, finance, and risk management functions, finding sponsors and prioritizing investments to reduce IT risks can be challenging.

Enterprise 145

Enterprise Digital Transformation Cost-Benefit Risk 145

CIO Business Intelligence

MAY 20, 2024

Data privacy, compliance, and risk management Similarly, CIOs foresee themselves becoming more deeply involved in three areas closely related to cybersecurity: data privacy, compliance, and risk management. Risk management came in at No. Foundry / CIO.com 3. For Rev.io

IT 142

IT Risk Management Machine Learning Risk 142

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. While privacy and security are tight to each other, there are other ways in which data can be misused and you need to make sure you are carefully considering this when building your strategies.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

CIO Business Intelligence

JUNE 14, 2022

Such a strategy should connect how data will inform, support, and drive an organization’s short- and long-term strategic business plans. It should also reduce threats identified in enterprise risk management plans and help capitalize on opportunities.

Data Transformation 145

Data Transformation Data-driven Data Strategy Strategy 145

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 Metadata 97

erwin

AUGUST 20, 2020

In the age of data-driven business, the most common EA use cases are: Digital Transformation. Data Governance. EA provides context and perspective as to how and where data is used, including the applications, policies and processes that leverage it. Application Portfolio Management. Big Data Adoption.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

Octopai

JANUARY 19, 2020

It will not surprise you to learn all 11 of the bank-relevant principles are related to data in some form or fashion. Here’s a sampling: – Principle 1 covers data governance, including “a firm’s policies on data confidentiality, integrity, and availability, as well as risk-management policies.”.

Metadata 89

Metadata Risk Management Business Intelligence Data Governance 89

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes. This results in enhanced efficiency in compliance processes.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

Cloudera

AUGUST 12, 2021

Risk Management. A 2019 HBR article mentioned how organizational decisions backed by data have instilled more confidence and reduced risk. These models are then used for anomaly detection or inferences about what will happen. . MetLife then reaches out to specific drivers to urge them to take precautions. . Conclusion.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

erwin

JANUARY 23, 2025

IDC, BARC, and Gartner are just a few analyst firms producing annual or bi-annual market assessments for their research subscribers in software categories ranging from data intelligence platforms and data catalogs to data governance, data quality, metadata management and more.

Metadata 52

Metadata Data Quality Data Governance Software 52

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

Octopai

JULY 9, 2020

By adopting automated data lineage and automated metadata tagging, companies have the opportunity to increase their data processing speed. That increase can manage huge endeavors, such as migrations, error location, and new data governance integrations which then become “routine” operations.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137

IT Risk Cost-Benefit Data Science 137

CIO Business Intelligence

MAY 13, 2024

watsonx.governance is a toolkit for governing generative AI and machine learning models. It focuses on three core areas of documentation: compliance, risk management, and model lifecycle management — processes IBM says are intertwined. Artificial Intelligence, Data Governance, Generative AI, IBM

Machine Learning 122

Machine Learning Risk Enterprise Modeling 122

CIO Business Intelligence

OCTOBER 2, 2024

Data governance Strong data governance is the foundation of any successful AI strategy. It’s essential to regularly audit your AI systems to detect and mitigate biases in data collection, algorithm design and decision-making processes.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119