IBM Big Data Hub

MAY 28, 2024

While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy? Its principles are the same as those of data protection—to protect data and support data availability.

Strategy 81

Strategy Measurement Risk Cost-Benefit 81

CIO Business Intelligence

APRIL 12, 2022

That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. These instruments measure a variety of environmental factors such as temperature, tilt angle, shock, humidity and so on to ensure quality of goods in transit. The more data you have, the more costs you save.

IoT 105

IoT Analytics Manufacturing Internet of Things 105

Cloudera

APRIL 19, 2023

Data has become an essential driver for new monetization initiatives in the financial services industry. In order to monetize their data while still respecting the privacy of their customers, these firms must implement robust data protection measures and adhere to relevant regulations.

Data-driven 70

Data-driven Data Architecture Measurement Risk 70

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors.

Machine Learning 55

Machine Learning Risk Risk Management Measurement 55

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

IBM Big Data Hub

MARCH 26, 2024

While ESG seeks to provide standard methods and approaches to measuring across environmental, social and governance KPIs, and holds organizations accountable for that performance, sustainability is far broader. How is sustainability managed—as an annual measuring exercise or an ongoing effort that supports business transformation?

Measurement 60

Measurement Metrics Strategy Reporting 60

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. The Top 6 Benefits of Data Governance.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Smart Data Collective

OCTOBER 26, 2019

Having a physical off-site backup is a much better redundancy measure. RTO is crucial to ensuring that a business gets its data back into its systems after a system-wide shut down within a reasonable window. However, reasonable is a subjective measure. For enterprise-based users, this is not acceptable.

Big Data 67

Big Data Data Lake Cost-Benefit Measurement 67

O'Reilly on Data

OCTOBER 18, 2022

As AI technologies are adopted more broadly in security and other high-risk applications, we’ll all need to know more about AI audit and risk management. applies external authoritative standards from laws, regulations, and AI risk management frameworks. Bias is about more than data and models.

Risk Management 362

Risk Management Risk Testing Measurement 362

CIO Business Intelligence

OCTOBER 2, 2024

It’s essential to regularly audit your AI systems to detect and mitigate biases in data collection, algorithm design and decision-making processes. This can involve using diverse data sources, conducting regular bias audits and maintaining human oversight to ensure fairness at every stage.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

erwin

APRIL 21, 2020

By combining physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals, you can manage the effectiveness of your business and ensure you understand what critical systems are for business continuity and measuring corporate performance.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance.

Measurement 96

Measurement Sales Data Governance Metadata 96

Jet Global

NOVEMBER 15, 2021

A Tax Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an organization, or business, uses to measure the success of its Tax Function over time. to non-traditional KPIs including reputational risk management, efficiency and effectiveness of processes, innovative use of technology, etc.

Metrics 52

Metrics Reporting KPI Risk Management 52

datapine

AUGUST 29, 2022

Most people are aware that companies collect our GPS locale, text messages, credit card purchases, social media posts, Google search history, etc., and this book will give you an insight into their data collecting procedures and the reasons behind them. The subsequent chapters focus on predictive and descriptive analysis.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

David Menninger's Analyst Perspectives

JANUARY 28, 2025

The need to account for these considerations in parallel with financial accounting began growing early in the century and accelerated as governments and regulatory authorities began to require companies to measure and document activities and outcomes. Risk Management : Software to help identify, assess and mitigate ESG-related risks.

Software 130

Software Management Metrics Data Collection 130

CIO Business Intelligence

FEBRUARY 13, 2025

Regulatory frameworks like the EU AI Act and NIST AI Risk Management Framework are shaping expectations around responsible AI deployment. Challenges Despite its benefits, AI adoption introduces a range of challenges that require initiative-taking risk management: Cybersecurity threats. Adversarial attacks. Model theft.

Risk 116

Risk Data-driven Finance Risk Management 116