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 78

Risk Modeling Risk Management Measurement 78

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

MARCH 4, 2024

Generative AI (gen AI) introduces transformative innovation to all aspects of a business; from the front to the back office, through ongoing technology modernization, and into new product and service development. As you pinpoint your AI technology, your decision impacts the other domains of AI+ Enterprise Transformation.

Enterprise 104

Enterprise ROI Risk Strategy 104

CIO Business Intelligence

SEPTEMBER 20, 2023

To do so, CIOs must continuously improve their product management, program management, and delivery capabilities to wow customers and deliver competitive advantages, all while steering clear of surefire DX mistakes such as prioritizing too many initiatives and underinvesting in developing digital trailblazers.

Digital Transformation 122

Digital Transformation Uncertainty Metrics Business Objectives 122

CIO Business Intelligence

MARCH 24, 2023

While the incentives for ESG are compelling, managing programs and demonstrating success are fraught with challenges. But by adhering to the right standards and using technology to better organize programs, financial firms can gain a clearer vision of their ESG operations and speed up progress toward their goals.

Risk Management 52

Risk Management Consulting Metrics Data Quality 52

Smart Data Collective

JUNE 24, 2021

One of the biggest implications of data analytics technology in the 21st Century is that it has led to a number of new cybersecurity solutions. There is actually an entire field known as cybersecurity analytics , which as its name implies, uses data analytics technology to create more robust cybersecurity solutions.

Data Analytics 90

Data Analytics Analytics Internet of Things Measurement 90

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 191

Machine Learning Modeling Testing Risk Management 191

IBM Big Data Hub

JUNE 29, 2023

Continuous monitoring and performance management Integrated Business Planning is an ongoing process that requires continuous monitoring of performance against plans and targets. Key performance indicators (KPIs) are established to measure progress and enable proactive management.

Key Performance Indicator 80

Key Performance Indicator Forecasting Data Integration Sales 80

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

CIO Business Intelligence

MARCH 13, 2024

Even though generative AI is a relatively new technology, it’s now difficult to imagine a world without it, given the impact it’s making, and the business value it can create. We’re seeing a 15 to 20% uplift of productivity across the board,” says Matt Barrington, EY’s Americas emerging technologies leader. for every $1 spent.

IT 123

IT Consulting Testing Cost-Benefit 123

AWS Big Data

APRIL 12, 2023

Helping manage human risk with data-driven insights SANS Security Awareness helps organizations use best-in-class security awareness and training solutions to transform their ability to measure and manage human risk. With QuickSight, we are able to show organizations where they have cyber risk.

Dashboards 60

Dashboards Risk Data-driven Visualization 60

DataRobot

JANUARY 18, 2022

The purpose of these checklists is to avoid complacency and to ensure conscious observation of risk management. AI governance should be proportionate to the risk. But when there is material risk, it helps to list, then consciously investigate these risks. AI impact statements are not always necessary. Conclusion.

Risk Management 52

Risk Management Risk Data-driven Metrics 52

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

FineReport

APRIL 9, 2024

Financial Services Optimization : In the financial services sector, a major institution leveraged a sophisticated BI platform to analyze market trends, customer behavior, and risk management strategies. This results in optimized resource utilization and cost efficiencies while enhancing overall productivity.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

datapine

MARCH 31, 2022

After acquiring 3 to 5 years of experience, you can specialize in a specific technology or industry and work as an analyst, IT expert, or even go to the management side by working as a BI project manager. They use advanced technologies such as machine learning models to generate predictions about future business performance.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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. IRM technology product leaders will need to develop IRM capabilities that are capable of addressing the IRM market insights outlined in this blog post.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

IBM Big Data Hub

JULY 12, 2023

For example, how you react to a disruptive technology or cope with a sudden change in the markets can be the difference between success and failure. Team members discuss possible risks, analyze the risk impact of each one and propose courses of action to increase their overall preparedness.

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

IBM Big Data Hub

MARCH 26, 2024

Businesses seeking to accelerate sustainability initiatives must take an integrated approach that brings together all business and technology functions. It is not managed by a single department in a silo. How is sustainability managed—as an annual measuring exercise or an ongoing effort that supports business transformation?

Measurement 65

Measurement Metrics Strategy Reporting 65

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 81

Data Architecture Risk Management Risk Management 81

IBM Big Data Hub

JULY 28, 2023

Every month, the National Institute of Standards and Technology (NIST) adds over 2,000 new security vulnerabilities to the National Vulnerability Database. That’s what the vulnerability management lifecycle is for. Explore IBM Security QRadar Suite The post What is the vulnerability management lifecycle?

Management 66

Management Metrics Risk Measurement 66

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. These are table stakes for the DoD or any government agency.

Metadata 99

Metadata Measurement Risk Modeling 99

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

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

AWS Big Data

JANUARY 31, 2024

Transaction cost analysis (TCA) is widely used by traders, portfolio managers, and brokers for pre-trade and post-trade analysis, and helps them measure and optimize transaction costs and the effectiveness of their trading strategies. About the Authors Pramod Nayak is the Director of Product Management of the Low Latency Group at LSEG.

Marketing 87

Marketing Analytics Visualization Strategy 87

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. 2) Designing Data-Intensive Applications by Martin Kleppman.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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. This stuff works.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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. The answer is simple—bad things and legal liabilities.

Risk Management 291

Risk Management Risk Testing Measurement 291

CIO Business Intelligence

MAY 17, 2022

The company is on a mission to revolutionize the banking industry through technology and data and serves as a model for harnessing the power of data for growth. . A few years ago, the leadership realized that the banking industry is going to be dominated by great tech companies that manage risk exceptionally well.

ROI 52

ROI Risk Marketing Modeling 52

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. The ability to measure results (risk-reducing evidence). Fine rules for 500 years, until they slammed into a brick wall.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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. BI is not just a technology initiative.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

AWS Big Data

AUGUST 14, 2023

In the same way, organizations seeking to implement successful data mesh strategies must respect the nature and structure (legal, political, commercial, technology) of their organizations in their implementation. How do we define “risk” and “value” in the context of data products, and how can we measure this?

Management 81

Management Risk Measurement Optimization 81

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

Andrew White

JANUARY 11, 2021

So the material is not designed for IT – but spans business and technology. How do you think Technology Business Management plays into this strategy? Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MARCH 2, 2022

In other words, this element considers how these companies or organizations use energy and manage the environmental impact that their operations have. Opportunities in renewable energy and clean technology. Waste management. Now, these metrics will differ from company to company but the key is that they’re SMART.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59