IBM Big Data Hub

FEBRUARY 8, 2024

1 Slowly but surely, institutional investors started to recognize that companies could potentially improve financial performance and risk management by focusing on ESG issues like greenhouse gas emissions. Simplify the capture, consolidation, management analysis and reporting of your ESG data with IBM Envizi ESG suite.

Measurement 86

Measurement Metrics Reporting Strategy 86

Cloudera

FEBRUARY 24, 2021

Trend #1: The Crossroads of Risk Management and Emerging Technology. One shift the financial services industry will have to come to terms with is the fact that 2020 may have made risk management models of the past outdated or obsolete , particularly credit risk models.

Risk Management 59

Risk Management Risk Recreation/Entertainment Machine Learning 59

erwin

SEPTEMBER 3, 2020

You can collect complete application ecosystem information; objectively identify connections/interfaces between applications, using data; provide accurate compliance assessments; and quickly identify security risks and other issues. You can better manage risk because of real-time data coming into the EA space.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

erwin

JULY 12, 2019

equivalent of GDPR] will not become effective until 2020, we believe that new developments in GDPR enforcement may influence the regulatory framework of the still fluid CCPA.”. We help customers overcome their data governance challenges, with risk management and regulatory compliance being primary concerns. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

IBM Big Data Hub

JANUARY 29, 2024

Business continuity and disaster recovery plans are risk management strategies that businesses rely on to prepare for unexpected incidents. When deployed effectively, a good DR plan can help stakeholders better understand the risks to regular business functions that a particular threat may pose.

Cost-Benefit 94

Cost-Benefit Risk Enterprise Advertising 94

bridgei2i

MAY 17, 2021

In addition, it can counter the various pitfalls in profiling customers and credit scoring and reducing the supply chain’s potential risks. billion in 2020 and is expected to reach USD 26.67 The AI-backed interface enables the lender to ensure if the applicants are at high default risks. AI And Risk Management.

Finance 52

Finance Risk Management Unstructured Data Cost-Benefit 52

erwin

AUGUST 20, 2020

Through effective EA, organizations are better able to identify risks and opportunities, address redundancies and process gaps, and create roadmaps to bridge the gap between the current and desired future state of an organization. Reduced risks and costs. A greater ability to anticipate and manage change. Improved collaboration.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

Smart Data Collective

SEPTEMBER 22, 2021

The risk of data breaches will not decrease in 2021. Data must be managed carefully , which means protecting it against security breaches. Data breaches and security risks happen all the time. One bad breach and you are potentially risking your business in the hands of hackers. But you can come around this.

Statistics 107

Statistics Risk Measurement Software 107

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. Innovation Management. An enterprise architect is now required to understand improved value through many different aspects of the business, including profits and loss, share value, risk, sales, customers and products, to name a few. Digital Transformation. Compliance/Legislation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

Sisense

MAY 13, 2021

According to a NewVantage 2020 survey on data and analytics, less than 27% of organizations have successfully adopted analytics, while 73% want to use data to understand their business better and 72% want to use analytics to improve their products and services. So what does all that mean for product builders?

Reporting 59

Reporting Analytics Dashboards Key Performance Indicator 59

Ontotext

APRIL 6, 2023

More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars. Since 2020, Ontotext has been working with NASA and, interestingly, six out of the top ten aerospace companies in the world use GraphDB in some part of their operations.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CDW Research Hub

DECEMBER 16, 2020

We have all been witnessing the global impact of the health and economic events of 2020. In early December of 2020, the cybersecurity firm FireEye discovered it had been a victim of an attack. Indications are that attacks from this campaign originated in the spring of 2020 with other targets. Campaign timeline identified.

Reporting 76

Reporting Risk Software Behavioral Analytics 76

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. Predictive Analytics can help businesses in reducing risk (eg. Different Use-cases of ML for AML initiatives.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

IBM Big Data Hub

OCTOBER 23, 2023

1] Managing complex business operations across a hybrid multicloud environment presents leaders with unique challenges, not least of which are cyberthreats that can bring essential business functions to a halt—potentially for days, weeks or months. The global average cost of a single data breach is USD 4.45

Risk 91

Risk Strategy Risk Management Digital Transformation 91

erwin

MARCH 12, 2020

Forrester recently released its “Now Tech: Enterprise Architecture Management Suites for Q1 2020” to give organizations an enterprise architecture (EA) playbook. It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin.

Enterprise 85

Enterprise Reporting Management ROI 85

bridgei2i

APRIL 29, 2020

Given the complexity of supply chains, lack of end of end visibility makes it very difficult to control and tweak the right levers for risk mitigation and improving efficiency. Image 1: Institute for Supply Chain Management. 11 Mar 2020. Risk Management with authority to take action fast.

KPI 52

KPI Risk Management Measurement Risk 52

Ontotext

APRIL 21, 2021

In the autumn 2020, one of the ‘Too Big To Fail’ global brands in finance learned a new way to lose a billion dollars in finance. The problem was the left hand had no way of knowing the systemic issues around data governance, risk management and compliance framework. Manage Regulation, Manage Risk.

Metadata 59

Metadata Finance Cost-Benefit Data Quality 59

erwin

SEPTEMBER 17, 2020

According to erwin’s “2020 State of Data Governance and Automation” report , close to 70 percent of data professional respondents say they spend an average of 10 or more hours per week on data-related activities, and most of that time is spent searching for and preparing data. Benjamin Franklin said, “Lost time is never found again.”

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

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. Intraday VaR.

Risk 94

Risk Marketing Risk Management Data-driven 94

Alation

JUNE 14, 2021

Do we know the business outcomes tied to data risk management? Intelligent systems powered by machine learning are necessary for overcoming the challenges of data management. Subscribe to Alation's Blog. “Everything starts by answering basic questions,” says Wayne Anderson, Principal, Security Architect, Microsoft.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

CDW Research Hub

FEBRUARY 14, 2020

Related: Steering Clear of Security Breaches: Maintaining Cloud Integrity in 2020. As a prerequisite, your organization must already have governance and risk management teams, which will define the company policies and set compliance standards from which you can establish procedures.

Risk 52

Risk Reporting Measurement Insurance 52

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. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

IBM Big Data Hub

APRIL 4, 2024

Benefits: Automated claim processing Reduced processing times Enhanced visibility Compliance and risk management By automating routine tasks and implementing predefined rules, BPM enables timely compliance with regulatory requirements and internal policies.

Management 59

Management Cost-Benefit Metrics Consulting 59

Cloudera

MAY 4, 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. SIMUl,149.86,2300,P|63-m-1,P|66-l-0,P|63,P|66,380,22-Oct-2020 08:00:07.600. Streaming VWAP.

Marketing 76

Marketing Data-driven Risk Modeling 76

erwin

FEBRUARY 4, 2021

While acknowledging that data governance is about more than risk management and regulatory compliance may indicate that companies are more confident in their data, the data governance practice is nonetheless growing in complexity because of more: Data to handle, much of it unstructured. Data Governance Bottlenecks.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

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 101

Metadata Measurement Risk Modeling 101

erwin

FEBRUARY 20, 2020

EA and BP modeling are both critical for risk management and regulatory compliance, a major concern for financial services customers like the one above when it comes to ever-changing regulations on money laundering, fraud and more.

Enterprise 128

Enterprise Modeling Dashboards Digital Transformation 128

DataRobot

DECEMBER 6, 2021

This mandatory risk assessment application is designed to help government departments and agencies better understand and manage the risks associated with automated decision systems. In January 2020, the World Economic Forum published the Implementation and Self-Assessment Guide for Organizations. Where Should You Start?

Data-driven 52

Data-driven Risk Publishing Risk Management 52

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. However, it is possible to identify some potential drawbacks and apply risk management practices in advance. Big data guru Bernard Marr wrote about The Rise of Chief Data Officers.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

NOVEMBER 23, 2021

However it’s defined, data governance is among the hottest topics in data management. They can improve data quality, security and risk management without the need for an expensive big-bang project. Subscribe to Alation's Blog. All they need to do is to put structure around what they are already doing.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52

bridgei2i

JULY 15, 2020

Given the complexity of supply chains, the sheer lack of end-to-end visibility makes it difficult to control and tweak the right levers for risk mitigation and efficiency improvement. A digital ecosystem is essential to mitigate threats to production capacity and to manage last-minute changes to orders. 11 Mar 2020.

Testing 52

Testing KPI Risk Management Measurement 52

bridgei2i

APRIL 29, 2020

Given the complexity of supply chains, the sheer lack of end-to-end visibility makes it difficult to control and tweak the right levers for risk mitigation and efficiency improvement. A digital ecosystem is essential to mitigate threats to production capacity and to manage last-minute changes to orders. 11 Mar 2020.

KPI 52

KPI Risk Management Measurement Forecasting 52