Smart Data Collective

SEPTEMBER 21, 2021

However, your data-driven business model won’t be very helpful if you don’t focus on the right metrics. There are many excellent metrics you can monitor to help you grow your business and meet your goals. Plus, the metric can help you plan the best layout for your shop. Sales Per Square Foot. Sales Per Staff Member.

Data-driven 107

Data-driven Metrics Sales Big Data 107

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

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 119

Data Warehouse Dashboards Risk Management Risk 119

CIO Business Intelligence

JUNE 21, 2022

Governance should be designed with adaptability in mind to ensure IT remains in alignment with business objectives, continually providing value while effectively safeguarding the organization against potential risks, Bales says. Poor risk planning. Insufficient operational visibility.

IT 116

IT Risk Measurement Risk Management 116

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 87

Measurement Metrics Reporting Strategy 87

IBM Big Data Hub

DECEMBER 13, 2023

By assessing and proactively managing risks inherent in the supply chain , organizations can shield themselves from disruptions and strengthen the resilience of their operations. This enables an effective and adaptive approach to sourcing that creates value and minimizes risk.

Strategy 73

Strategy Cost-Benefit Key Performance Indicator Consulting 73

IBM Big Data Hub

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. Otherwise, the risks become too significant.

Enterprise 108

Enterprise ROI Risk Strategy 108

CDW Research Hub

MAY 24, 2021

Today’s digital risk and compliance profile requires developing an information security program based on a well-structured plan that includes people, processes and technologies, and focuses on the protection of information and information assets. Develop a security risk management program.

Risk Management 52

Risk Management Risk Unstructured Data Business Objectives 52

Alation

AUGUST 17, 2022

The Risks of Early Data Governance Programs. The biggest risk was a lack of ownership. Too often, organizations don’t educate their users about data governance, security, and business risk,” claims analyst Jack Gold. If your definitions are bad, so is your governance/risk/security. Enterprise risk management.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. That’s where model debugging comes in. Sensitivity analysis. Residual analysis.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

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

Smart Data Collective

JUNE 24, 2021

Why Are Small Businesses at Greater Risk. 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.

Data Analytics 90

Data Analytics Analytics Internet of Things Measurement 90

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 111

IT Cost-Benefit Risk Consulting 111

IBM Big Data Hub

JUNE 29, 2023

By integrating financial planning with strategic and operational planning, organizations can evaluate financial profitability, identify potential gaps or risks, and make necessary adjustments to achieve financial targets. Key performance indicators (KPIs) are established to measure progress and enable proactive management.

Key Performance Indicator 83

Key Performance Indicator Forecasting Data Integration Sales 83

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 86

Insurance Risk Management Machine Learning Metadata 86

AWS Big Data

APRIL 12, 2023

With it, we found an intuitive product with rich visualizations that we could build and grow with rapidly, allowing us to innovate without monetary risks or being locked in to cumbersome contracts. As threat landscapes become increasingly more severe, managing human risk is critical to the success of the security program in any organization.

Dashboards 59

Dashboards Risk Data-driven Visualization 59

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

CIO Business Intelligence

MARCH 24, 2023

However, there are many other challenges as well, including regulatory requirements, human capital, stakeholder engagement, alignment of materiality and performance, and the need to embed ESG into an existing ERM (Enterprise Risk Management) framework. “The

Risk Management 52

Risk Management Consulting Metrics Data Quality 52

FineReport

APRIL 9, 2024

By leveraging advanced analytics capabilities, businesses can uncover hidden opportunities and potential risks within their datasets, allowing them to proactively address challenges and capitalize on emerging trends. This resulted in increased profitability and strengthened competitive positioning within the industry.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

DataRobot

JANUARY 18, 2022

When removed from our usual work environment to participate in an AI project, there is the risk that strategic business goals and everyday business rules will be forgotten. The purpose of these checklists is to avoid complacency and to ensure conscious observation of risk management. The Need For Documentation. Conclusion.

Risk Management 52

Risk Management Risk Data-driven Metrics 52

CIO Business Intelligence

MARCH 13, 2024

Still, he urges companies to look beyond measurements of coding speed. At Gallagher, a global insurance brokerage, risk management, and consulting services firm, executive search practice managing director Tom Wilson says his team uses gen AI for research and written communications.

IT 128

IT Consulting Testing Cost-Benefit 128

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

JULY 12, 2023

Good contingency plans prioritize the risks an organization faces, delegate responsibility to members of the response teams and increase the likelihood that the company will make a full recovery after a negative event. Make a list of risks and prioritize them according to likelihood and severity.

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

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. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 83

Data Architecture Risk Management Risk Management 83

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. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

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 94

Risk Marketing Risk Management Data-driven 94

datapine

MARCH 31, 2022

S/He is responsible for providing cost-effective solutions to achieve business objectives, comparing operational progress against project development while assisting in planning budgets, forecasts, timelines, and developing reports on performance metrics. BI Data Scientist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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 68

Measurement Metrics Strategy Reporting 68

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

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. Hollywood is a $10 billion-a-year industry, and movies range from huge hits to box office bombs.

Risk 67

Risk ROI Modeling Metrics 67

IBM Big Data Hub

JULY 28, 2023

Every vulnerability is a risk for organizations. In response, enterprises have made vulnerability management a key component of their cyber risk management strategies. The vulnerability management lifecycle offers a formal model for effective vulnerability management programs in an ever-changing cyberthreat landscape.

Management 68

Management Metrics Risk Measurement 68

IBM Big Data Hub

FEBRUARY 22, 2024

Defense leaders focused on operationalizing the responsible curation of AI must first agree upon a shared vocabulary—a common culture that guides safe, responsible use of AI—before they implement technological solutions and guardrails that mitigate risk. Designate accountable people to mitigate these risks.

Metadata 102

Metadata Measurement Risk Modeling 102

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Humans can’t keep up.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

IBM Big Data Hub

FEBRUARY 15, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important as it relates to a company’s business model, risk management strategy , reporting requirements and more. Fortunately, there is a push to consolidate information.

Reporting 85

Reporting Consulting Risk Metrics 85

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.

Risk 55

Risk Machine Learning Risk Management Measurement 55

O'Reilly on Data

OCTOBER 18, 2022

When we use AI in security applications, the risks become even more direct. 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. Data can be wrong. Predictions can be wrong. System designs can be wrong.

Risk Management 291

Risk Management Risk Testing Measurement 291

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 Strategy Optimization 59