CIO Business Intelligence

JANUARY 21, 2025

Deloittes State of Generative AI in the Enterprise reports nearly 70% have moved 30% or fewer of their gen AI experiments into production, and 41% of organizations have struggled to define and measure the impacts of their gen AI efforts. Why should CIOs bet on unifying their data and AI practices?

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

IBM Big Data Hub

APRIL 25, 2023

Environmental, Social, and Governance (ESG) risk management has emerged as a critical aspect of business strategy for companies worldwide. However, 57% of CEOs admit that defining and measuring the Return on Investment (ROI) and economic benefits of their sustainability efforts remain a significant challenge.

Risk Management 78

Risk Management Risk Management Metrics 78

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. While our analysis of each method may appear technical, we believe that understanding the tools available, and how to use them, is critical for all risk management teams.

Machine Learning 282

Machine Learning Modeling Testing Risk Management 282

O'Reilly on Data

NOVEMBER 13, 2018

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. Classification parity means that one or more of the standard performance measures (e.g., As we deploy more models, it’s becoming clear that we will need to think beyond optimizing statistical and business metrics.

Machine Learning 277

Machine Learning Risk Management Statistics 277

CIO Business Intelligence

MARCH 19, 2025

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

FEBRUARY 20, 2025

Solid reporting provides transparent, consistent and combined HR metrics essential for strategic planning, risk management and the management of HR measures. Companies should then monitor the measures and adjust them as necessary. Kastrati: The labor market will change even more than it does today.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Identify key performance indicators (KPIs).

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

CIO Business Intelligence

JUNE 21, 2022

“Your governance structure should be dynamic and [designed to] identify triggers that may evoke a revision, and its effectiveness should be constantly measured so that it remains relevant.”. Poor risk planning. CIOs frequently launch strategic initiatives without fully considering all the risks involved.

IT 116

IT Risk Measurement Risk Management 116

AWS Big Data

FEBRUARY 1, 2024

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. The calculation methodology and query performance metrics are similar to those of the preceding chart.

Data Warehouse 134

Data Warehouse Dashboards Risk Management Risk 134

CIO Business Intelligence

JUNE 25, 2024

But that doesn’t make share price a useful metric for evaluating business performance. Yes, an increase in share price should be a useful measure of management performance, because it ought to reflect the expectations of outside industry experts regarding the company’s future profitability.

Risk 118

Risk Risk Management Statistics Management 118

Smart Data Collective

JUNE 24, 2021

Even when the importance of cybersecurity has been reiterated in the past, most small businesses do not have cybersecurity measures in place due to the erroneous belief that cybercriminals aren’t going to pay them any mind. Protective Measures with Data Analytics. Here are some basic measures that can help: Secure Your Networks.

Data Analytics 122

Data Analytics Analytics Internet of Things Measurement 122

Cloudera

OCTOBER 20, 2021

Firms face critical questions related to these disclosures and how climate risk will affect their institutions. What are the key climate risk measurements and impacts? When it comes to measuring climate risk, generating scenarios will be a critical tactic for financial institutions and asset managers.

Risk 80

Risk Modeling Risk Management Measurement 80

CIO Business Intelligence

SEPTEMBER 20, 2023

Agile is an amazing risk management tool for managing uncertainty, but that’s not always obvious.” The key is recognizing that planning must be an agile discipline, not a standalone activity performed independently of agile teams. He recommends that leaders identify a metric that focuses on value to the customer.

Digital Transformation 135

Digital Transformation Uncertainty Metrics Business Objectives 135

CIO Business Intelligence

DECEMBER 6, 2024

Develop an AI platform and write a gen AI playbook to allow it to move quickly without shortchanging on security and governance measures. The model has five core pillars that guide the introduction of all new technology and provide a roadmap for assessments, evaluations, and approvals: Discover, Ideate, Elaborate, Execute, and Measure.

Marketing 122

Marketing Technology Risk Measurement 122

Octopai

JULY 9, 2020

It required banks to develop a data architecture that could support risk-management tools. Not only did the banks need to implement these risk-measurement systems (which depend on metrics arriving from distinct data dictionary tools), they also needed to produce reports documenting their use.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. However, because most institutions lack a modern data architecture , they struggle to manage, integrate and analyze financial data at pace.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

DataRobot Blog

JULY 21, 2022

Data scientists need to understand the business problem and the project scope to assess feasibility, set expectations, define metrics, and design project blueprints. Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Define project scope.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

IBM Big Data Hub

APRIL 19, 2024

Mobile-connected technicians experience improved safety through measures such as access control, gas detection, warning messages or fall recognition, which reduces risk exposure and enhances operational risk management (ORM) during work execution.

Management 85

Management Internet of Things Risk IoT 85

IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

Measurement 77

Measurement Metrics Reporting Strategy 77

CIO Business Intelligence

AUGUST 30, 2024

The two hour and 45-minute exam of 90 mostly multiple-choice scored questions and 25 pretest questions, covers talent acquisition, HR administration and shared services, talent management and development, compensation, benefits, work experience, employee relations, risk management, and HR info management.

Cost-Benefit 119

Cost-Benefit Risk Management Strategy Testing 119

Alation

AUGUST 17, 2022

Constellation Analyst Dion Hinchcliffe suggests that functions should be loosely integrated into the following streams: Governance, risk, compliance. Enterprise risk management. Data management. In terms of measurement, he says “metrics are in the eye of the data consumer. Cybersecurity/infosecurity.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

IBM Big Data Hub

DECEMBER 8, 2023

Step 2: Perform a risk assessment The next step is to quantify the level of risk for each risk identified during the first step. This is a key part of the risk mitigation plan since this step lays the groundwork for the entire plan. The only thing left to do is to let the risks play out and monitor them continuously.

Risk 67

Risk Strategy Risk Management Insurance 67

DataRobot Blog

JUNE 27, 2022

Monitoring Model Metrics. A prerequisite in measuring a deployed model’s evolving performance is to collect both its input data and business outcomes in a deployed setting. Mathematically speaking, data drift measures the shift in the distribution of input values used to train the model.

Risk 59

Risk Modeling Metrics Measurement 59

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

CDW Research Hub

MAY 24, 2021

To support these plans, components such as prevention and detection mechanisms, access management, incident response, privacy and compliance, risk management, audit and monitoring, and business continuity planning are all necessary to a successful security program. Develop a security risk management program.

Risk Management 52

Risk Management Unstructured Data Risk Business Objectives 52

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management.

Risk 99

Risk Marketing Risk Management Data-driven 99

AWS Big Data

AUGUST 14, 2023

How do we define “risk” and “value” in the context of data products, and how can we measure this? To answer questions such as these and plan accordingly, organizations must implement data product portfolio management (DPPM). Strategies for measuring value and prioritizing data products are explored later in this post.

Management 98

Management Risk Measurement Optimization 98

CIO Business Intelligence

APRIL 13, 2023

Gartner projects that spending on information security and risk management products and services will grow 11.3% To better focus security spend, some chief information security officers (CISOs) are shifting their risk assessments from IT systems to the data, applications, and processes that keep the business going.

IT 112

IT Cost-Benefit Risk Consulting 112

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

IBM Big Data Hub

DECEMBER 13, 2023

Gather diverse insights, understand needs and manage expectations. Determine business objectives Define specific measurable, achievable, relevant and timely (SMART) objectives for the procurement function. Additional goals might be risk management and mitigation, supplier relationship management and sustainability considerations.

Strategy 65

Strategy Cost-Benefit Key Performance Indicator Consulting 65

Grooper

OCTOBER 23, 2019

By measuring performance, they drive improvements through necessary process and workflow changes. And how willing are key people to move away from current data management practices and tools?”. Your dream of effectively managing an enterprise-wide master data model can be a reality. You must be able to measure your performance.

Metrics 59

Metrics Measurement Data-driven Strategy 59

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

Cloudera

SEPTEMBER 10, 2024

Translating AI’s Potential into Measurable Business Impact It can’t be denied that a mature enterprise data strategy generates better business outcomes in the form of revenue growth and cost savings. Adopting common business metrics also enhances the likelihood of successful implementation and value realization from these investments.

Cost-Benefit 52

Cost-Benefit Data Architecture Metrics Measurement 52

IBM Big Data Hub

MARCH 4, 2024

An AI+ enterprise mitigates potential harm by implementing robust measures to secure, monitor and explain AI models, as well as monitoring governance, risk and compliance controls across the hybrid cloud environment.

Enterprise 96

Enterprise ROI Risk Strategy 96

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

Risk 52

Risk Modeling Metrics Business Objectives 52

FineReport

AUGUST 13, 2021

Insurance companies provide risk management in the form of insurance contracts. Industry-specific, comprehensive, and reliable data management and presentation have become an issue of increasing concern in the insurance industry. An insurance KPI dashboard is to measure the performance and efficiency of insurance agents.

Insurance 52

Insurance Dashboards KPI Analytics 52