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.

Data-driven 107

Data-driven Metrics Sales Big Data 107

Cloudera

OCTOBER 20, 2021

As part of these efforts, disclosure requirements will mandate that firms provide “the impact of a company’s activities on the environment and society, as well as the business and financial risks faced by a company due to its sustainability exposures.” What are the key climate risk measurements and impacts? They need to understand;

Risk 80

Risk Modeling Risk Management Measurement 80

DataRobot Blog

JUNE 27, 2022

If the assumptions are being breached due to fundamental changes in the process being modeled, the deployed system is not likely to serve its intended purpose, thereby creating further model risk that the institution must manage. Monitoring Model Metrics. Figure 1: Data drift tab of a deployed DataRobot model.

Risk 59

Risk Modeling Metrics Measurement 59

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. Since every organization has its own manner of operation, the KPIs or metrics used for tax will vary from one organization to another.

Metrics 52

Metrics Reporting KPI Risk Management 52

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

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

IBM Big Data Hub

APRIL 19, 2024

Asset management and technological innovation Advancements in technology underpin the need for holistic grid asset management, making the assets in the grid smarter and equipping the workforce with smart tools. Cybersecurity reduces risk exposure for cyberattacks on digitally connected assets.

Management 89

Management Internet of Things Risk IoT 89

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 121

Data Warehouse Dashboards Risk Management Risk 121

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

CIO Business Intelligence

MARCH 12, 2024

When this happens, corporate risk is heightened as preemptive projects get delayed — sometimes for indefinite periods of time. CIOs can change this thinking by incorporating preemptive projects like disaster recovery into their corporate risk management strategies.

ROI 117

ROI IT Manufacturing Metrics 117

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 130

IT Risk Cost-Benefit Risk Management 130

Smart Data Collective

SEPTEMBER 17, 2020

Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in risk management operations. Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. Big Data provides financial and banking organizations with better risk coverage.

Big Data 141

Big Data Finance Risk Management Risk 141

DataRobot Blog

DECEMBER 6, 2022

Taking a Multi-Tiered Approach to Model Risk Management. Understand why organizations need a three-pronged approach to mitigating risk among multiple dimensions of the AI lifecycle and what model risk management means to today’s AI-driven companies. Read the blog. Read the blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

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

CIO Business Intelligence

JULY 13, 2022

Metrics that create a narrative and show how the business compares to competitors, the wider industry, and globally against all businesses give a clear picture that allows board members to set strategy. Burgess returns along with Atlassian Chief Trust Officer Adrian Ludwig to examine insider threats and third-party risk.

Strategy 114

Strategy Risk Metrics Risk Management 114

IBM Big Data Hub

FEBRUARY 13, 2024

They also factor in how a strong partnership could reduce supply chain risk and advance sustainability. It also can help optimize transportation costs and service-level agreements as well as improve inventory management and visibility. This technology can also help reduce the risk of regulatory non-compliance.

Cost-Benefit 84

Cost-Benefit Scorecard Risk Recreation/Entertainment 84

IBM Big Data Hub

FEBRUARY 28, 2024

Successful strategic sourcing often results in process optimization, cost management, customer satisfaction, risk management , increased sustainability and other benefits. In addition to enhanced decision-making, flexibility and visibility, analytics engines paired with AI can help manage supplier risk.

Strategy 102

Strategy Technology Cost-Benefit Risk Management 102

IBM Big Data Hub

SEPTEMBER 6, 2023

A continuous vulnerability management process helps stop cyberattacks—and soften the blow of those that succeed—by finding and fixing flaws before threat actors can weaponize them. The vulnerability management lifecycle Corporate networks are not static.

Management 106

Management Metrics Risk Reporting 106

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 107

IT Risk Measurement Risk Management 107

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 104

Enterprise ROI Risk Strategy 104

IBM Big Data Hub

DECEMBER 14, 2023

A cybersecurity strategy is not solely about managing risk across a business’ IT infrastructure. IBM is supporting clients across industries in their cybersecurity journey by providing comprehensive security capabilities to help make it easier to simplify their risk management and demonstrate regulatory compliance postures.

Risk 89

Risk Enterprise Digital Transformation Risk Management 89

IBM Big Data Hub

FEBRUARY 19, 2024

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Fewer disruptions : A healthy supply chain mitigates risks and protects against inevitable disruption. A supply chain control tower can connect many sources of data-driven information and improve end-to-end visibility.

Strategy 86

Strategy Management Forecasting Cost-Benefit 86

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

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 70

Strategy Cost-Benefit Key Performance Indicator Consulting 70

CIO Business Intelligence

APRIL 21, 2022

Combining Agile and DevOps with elements such as cloud, testing, security, risk management and compliance creates a modernized technology delivery approach that can help an organization achieve greater speed, reduced risk, and enhanced quality and experience. All hands on deck .

Digital Transformation 133

Digital Transformation Key Performance Indicator Risk Testing 133

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. 4] Fairwashing: The Risk of Rationalization , How Can We Fool LIME and SHAP?

Machine Learning 190

Machine Learning Modeling Testing Risk Management 190

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 84

Measurement Metrics Reporting Strategy 84

FineReport

JUNE 7, 2023

What Is A Project Management Dashboard? Project management dashboards serve as dynamic visual aids, empowering project managers to effectively track project progress, identify risks, and allocate tasks to team members efficiently. Free Download of FineReport How To Create A Project Management Dashboard Effectively?

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

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 124

Digital Transformation Uncertainty Metrics Business Objectives 124

Domino Data Lab

AUGUST 10, 2021

Models can predict things before they happen more accurately than humans, such as catastrophic weather events or who is at risk of imminent death in a hospital. Managing Model Risk. This comes down to model risk management. There are five key aspects to model risk management, of which model governance is one.

Modeling 64

Modeling IT Risk Management Deep Learning 64

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 107

IT Cost-Benefit Risk Consulting 107

CIO Business Intelligence

JANUARY 19, 2024

“It’s a key issue that needs attention, and a CIO can and should set the tone and practices for effective stakeholder management,” says Brett Tucker, an adjunct professor of cyber risk management at Carnegie Mellon University’s Heinz College.

Management 113

Management Consulting Risk Strategy 113

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

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

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

IBM Big Data Hub

JUNE 13, 2022

Beyond these common uses of AI, there are also uses that regulators are beginning to identify as areas where there may be a higher risk. Trustworthy outcomes are critical for all AI systems, particularly in high-risk contexts, and this is a key factor in why the market for responsible AI solutions is expected to double in size in 2022 [2].

Risk 98

Risk Risk Management Data-driven Metrics 98

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