Octopai

JULY 9, 2020

Actually, effective data lineage delivers important enhancements to BI and enables informed decision-making , as it enables data teams to tackle numerous use cases such as regulatory compliance, system upgrades & migrations, M&A (system consolidation), reporting inaccuracies, business changes etc.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

Alation

OCTOBER 26, 2021

They need trusted data to drive reliable reporting, decision-making, and risk reduction. In our recent State of Data Culture Report , Alation found that nearly every organization (86%) with a top-tier data culture met or exceeded its revenue targets. A Strong Data Culture Supports Strategic Decision Making.

Finance 52

Finance Data Transformation Enterprise Metrics 52

CIO Business Intelligence

MARCH 13, 2024

According to a research report IDC released in November, based on a survey of over 2,100 business leaders and decision makers with responsibility for AI transformation, 71% of companies already using AI are seeing returns on their AI investments within 14 months, averaging $3.50 for every $1 spent. We did side-by-side testing,” he says.

IT 128

IT Consulting Testing Cost-Benefit 128

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. To reference SR 11-7: .

Risk 64

Risk Modeling Machine Learning Data Quality 64

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. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8]. Currency amounts reported in Taiwan dollars.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

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. The Need For Documentation. Describing an AI System.

Risk Management 52

Risk Management Risk Data-driven Metrics 52

DataRobot Blog

JUNE 27, 2022

Monitoring Model Metrics. With this data in hand, we are able to measure both the data drift and model performance, both of which are essential metrics in measuring the health of the deployed model. The accuracy of a model is another essential metric that informs us about its health in a deployed setting.

Risk 59

Risk Modeling Metrics Measurement 59

Alation

AUGUST 17, 2022

And while IT should never be the data owner for business data, research from Digital Trailblazer author and former CIO Isaac Sacolick shows that 40 percent of business leaders “just want IT to fix the data and deliver reports.” Enterprise risk management. Data management. Risk, however, is a different challenge.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

IBM Big Data Hub

FEBRUARY 8, 2024

” European Parliament News The EU AI Act in brief The primary focus of the EU AI Act is to strengthen regulatory compliance in the areas of risk management, data protection, quality management systems, transparency, human oversight, accuracy, robustness and cyber security.

Risk Management 79

Risk Management Risk Metrics Machine Learning 79

CIO Business Intelligence

MARCH 5, 2024

CIOs must also partner with CISOs, legal, human resources, and business leaders to build awareness of policies and develop a generative AI risk management strategy. While that’s a limitation, there are reports of promised functionality not yet available.

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

IBM Big Data Hub

APRIL 21, 2023

The Corporate Sustainability Reporting Directive (CSRD) reached a provisional political agreement in June 2022, signaling it will take effect in January 2024 for all relevant companies. This move aims to achieve more complete and transparent sustainability reporting across the region. CSRD on track to enter into force in 2024.

Reporting 44

Reporting Metrics Risk Strategy 44

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

IBM Big Data Hub

APRIL 4, 2024

Document-centric BPM is for efficiently managing documents and content—such as contracts—within processes. By connecting workflow management, centralizing data management , and fostering collaboration and communication, BPM enables organizations to remain competitive by providing access to accurate and timely data.

Management 59

Management Cost-Benefit Metrics Consulting 59

IBM Big Data Hub

JULY 28, 2023

Reporting and improvement. The vulnerability management lifecycle allows organizations to improve security posture by taking a more strategic approach to vulnerability management. In response, enterprises have made vulnerability management a key component of their cyber risk management strategies.

Management 68

Management Metrics Risk Measurement 68

Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. Inaccurate Data Management Leads to Financial Collapse. These regulations required quarterly risk-evaluation reports. Download the Whitepaper.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

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. And then there is the Cloud.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

DataRobot Blog

DECEMBER 20, 2022

In this context, an augmented intelligence approach around the data will be increasingly more critical for asset managers, investors, and real estate developers to ensure a better understanding of the real estate assets and take better decisions aimed at optimizing both the Net Asset Value and the Net Operating Income.

Management 59

Management Machine Learning Optimization Modeling 59

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. Product/market fit is THE most important factor to get right.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. They can govern the implementation with a documented business case and be responsible for changes in scope. Find out what is working, as you don’t want to totally scrap an already essential report or process.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

AWS Big Data

AUGUST 14, 2023

Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). These data products may be widely used across business functions to support reporting and analytics, and—to a lesser extent—operational processes.

Management 75

Management Risk Measurement Optimization 75

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. Download Now.

Metrics 52

Metrics Reporting KPI Risk Management 52

Jet Global

NOVEMBER 16, 2022

While reports are important, many board members aren’t taking the contents of board reports to mind. Having easy-to-read and straightforward board reports is something many companies can work on to forward their vision. How can you help your company get ahead with comprehensive board reporting that hits home?

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

Jet Global

MARCH 2, 2022

In recent years, investors have been placing an increased emphasis on a range of environmental, social, and governance (ESG) issues resulting in ESG reporting becoming more important. As a result, there are more demands on companies to report on their activities and practices and how they impact environmental and social sustainability.

Reporting 59

Reporting Risk Recreation/Entertainment Insurance 59

Jet Global

APRIL 25, 2024

With the rise of financial reporting software , many finance professionals rely on automated reconciliation for this vital process. Thanks to automation, it is entirely possible to work as an accountant for your entire career without ever manually performing a reconciliation or monitoring relevant metrics during a financial close.

Reporting 52

Reporting Finance Management Software 52