Smart Data Collective

JULY 16, 2023

It has completely changed the game in business and finance. We will talk about some of the biggest ways that big data is changing the future of risk management among hedge funds. Data Analytics Helps Create More Robust Risk Management Controls We mentioned years ago that big data is changing risk management.

ROI 71

ROI Data Analytics Analytics Risk Management 71

Cloudera

OCTOBER 20, 2021

As governments gather to push forward climate and renewable energy initiatives aligned with the Paris Agreement and the UN Framework Convention on Climate Change, financial institutions and asset managers will monitor the event with keen interest. What are the key climate risk measurements and impacts? Assess Variables. (ex.

Risk 80

Risk Modeling Risk Management Measurement 80

IBM Big Data Hub

DECEMBER 8, 2023

Types of risk While risks will vary greatly from one industry to the next, there are a few commonly identified risks worth noting. Compliance risk: When an organization violates rules both internal and external, putting its reputation or finances at risk.

Risk 69

Risk Strategy Risk Management Insurance 69

Cloudera

APRIL 19, 2023

Investment banks can use data on market trends and investor behavior to create new financial products and services, such as derivatives and structured finance products. This includes implementing strong security measures, such as encryption and multi-factor authentication, and only collecting and using data with customer consent.

Data-driven 70

Data-driven Data Architecture Measurement Risk 70

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. Identify key performance indicators (KPIs).

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Jet Global

APRIL 25, 2024

Finance is a complex field, and so are the laws that govern it. During the audit, the SOX compliance auditor compares past financial statements with current-year statements, analyzing financial information and SOX internal controls to ensure compliance measures are satisfactorily met. insightsoftware is here to help.

Reporting 52

Reporting Risk Management Risk Software 52

Smart Data Collective

JULY 4, 2021

What Machine Learning Means to Asset Managers. On the finance side of businesses, asset management firms are utilizing machine learning with computerized maintenance management systems (CMMS) and data analytics to manage digital assets. Risk Management.

Machine Learning 143

Machine Learning Management B2B Unstructured Data 143

IBM Big Data Hub

JUNE 29, 2023

IBP brings together various functions, including sales, marketing, finance, supply chain, human resources, IT and beyond to collaborate across business units and make informed decisions that drive overall business success. Key performance indicators (KPIs) are established to measure progress and enable proactive management.

Key Performance Indicator 77

Key Performance Indicator Forecasting Data Integration Sales 77

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

CIO Business Intelligence

OCTOBER 4, 2023

This also allows us to have the best in terms of global technology, fraud mitigation and prevention, and cybersecurity measures in all markets, all while complying with local regulations and compliance requirements.” This is, according to Shivananda, the brain of PayPal.

Digital Transformation 117

Digital Transformation Deep Learning Data Lake Risk 117

Cloudera

SEPTEMBER 7, 2023

But these measures alone may not be sufficient to protect proprietary information. Even when backed by robust security measures, an external AI service is a tempting, outsized target for potential security breaches: each integration point, data transfer, or externally exposed API becomes a target for malicious actors.

Insurance 81

Insurance Risk Data-driven Finance 81

Ontotext

JULY 6, 2023

Case studies The risk and opportunity event detection use case discussed above combines all of Ontotext’s capabilities: storing and managing large amounts of data adding meaning to it (e.g.,, By promptly identifying and addressing risks, it enhances operational resiliency and enables proactive risk management.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

IBM Big Data Hub

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Such datasets are measured by how many “tokens” (words or word parts) they include. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

Risk 72

Risk Modeling Management Metadata 72

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. to non-traditional KPIs including reputational risk management, efficiency and effectiveness of processes, innovative use of technology, etc.

Metrics 52

Metrics Reporting KPI Risk Management 52

Octopai

JUNE 16, 2021

The excessive financial risk-taking engaged in by banks on the eve of the 2007-2009 financial recession prompted new regulations to strengthen the supervision, regulation and risk management of banks. Credit Risk Management and Basel III. Operational risk management. Operational risk (i.e.

Management 52

Management Risk Management Risk Visualization 52

Octopai

NOVEMBER 11, 2020

What caused the flood of data in finance? COVID-19 shifting finance. Automated data lineage on the cloud: helping finance with risk management, regulations, financial crime. They need to track and measure governance, deal with cyber threats and fraud in real time, and easily meet regulatory requirements.

Finance 52

Finance Risk Risk Management Data-driven 52

IBM Big Data Hub

FEBRUARY 22, 2024

As clients continue to face industry-specific challenges, IBM Cloud is continuously innovating to help them thrive in areas related to trade finance , payments , high performance computing and more. And our work doesn’t stop there.

Enterprise 75

Enterprise Risk Data Processing Business Driver 75

erwin

MARCH 12, 2020

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

Enterprise 85

Enterprise Reporting Management ROI 85

IBM Big Data Hub

JANUARY 30, 2024

Security risks: Maintaining strong security measures is a critical component of enterprise cloud adoption. A complex multicloud environment with data moving across private and public clouds poses obvious risks. Adhering to industry regulations is crucial for organizations in healthcare, energy, finance and many other sectors.

Strategy 93

Strategy Cost-Benefit Risk Optimization 93

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 96

Risk Marketing Risk Management Data-driven 96

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.

Reporting 79

Reporting Consulting Risk Metrics 79

Smart Data Collective

SEPTEMBER 22, 2021

One bad breach and you are potentially risking your business in the hands of hackers. In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021. No matter what the malicious activity is, at the core most cybercrime is finance-driven. Let’s dive in.

Statistics 106

Statistics Risk Measurement Software 106

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

Jet Global

APRIL 25, 2024

With the rise of financial reporting software , many finance professionals rely on automated reconciliation for this vital process. Your finance team will be able to establish effective, repeatable processes with custom templates, bulk journal entry updates, and automatic data validation from within Excel.

Reporting 52

Reporting Finance Management Software 52

Jet Global

JUNE 21, 2021

A number of approaches are currently being proposed, underpinned by the need of governments worldwide to recoup funds in the wake of business assistance programs necessitated by the pandemic, including one that features measures as revolutionary as a common basic tax rate for every nation. Read how to elevate tax to a strategic function.

Recreation/Entertainment 98

Recreation/Entertainment Digital Transformation Finance Reporting 98

Jet Global

JANUARY 19, 2024

Without proper document management, it may be challenging to maintain a transparent and auditable record of all actions taken in the administration of stock options, which is essential for compliance and internal control. Increased Security Risks : Document management features often include security measures to protect sensitive information.

Risk 52

Risk Management Reporting Software 52

O'Reilly on Data

JULY 15, 2019

In our experience, many of the most popular conference talks on model explainability and interpretability are those given by speakers from finance. After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Sources of model risk.

Machine Learning 37

Machine Learning Management Enterprise Risk Management 37

Smart Data Collective

JULY 23, 2019

Risk management , e.g. understanding of acceptable and too dangerous risks. For instance, magik_moose from Reddit states that pros must follow a few rules, including proper risk management, clear targets, independent analysis, and control over emotions. Here, the disruptive cycle starts. Steenbarger. Gox in 2014.

Recreation/Entertainment 75

Recreation/Entertainment Risk Management Marketing Risk 75

Jet Global

AUGUST 20, 2019

One of the most useful measures in financial performance is Free Cash Flow (FCF). A cash flow statement is an essential tool used to manage cash flow that includes information from operations, investing, and financing. Risk Management. BI software is a reliable tool to manage risks.

Forecasting 68

Forecasting Business Intelligence Reporting Software 68

Jet Global

MARCH 2, 2022

As such, some of the measures published in respect of ESG include: As such, some of the measures published in respect of ESG include: Non-Financial Reporting Directive (NFRD). Sustainable Finance Disclosure Regulation (SFDR). In other words, they should be specific, measurable, achievable, realistic, and time-sensitive.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

Jet Global

NOVEMBER 16, 2022

Specific, measurable, achievable, relevant, and time-bound (SMART) actions should be presented. These might includes measurements related to: the intellectual resources of the company. management satisfaction. These might includes measurements related to: the intellectual resources of the company. management satisfaction.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

Andrew White

JANUARY 11, 2021

Government, Finance, … Tough question…mostly as it’s hard to determine which industry due to different uses and needs of D&A. As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Value Management or monetization. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

bridgei2i

MAY 4, 2020

So the COVID-19 crisis response has hence been centrifugal, and it has varied across countries with respect to infections, control, and lockdown measures. Risk management, of course, is more relevant than ever, monitoring exposure to internal and external signals now. So the focus here is also to protect lives and livelihoods.

Enterprise 91

Enterprise Digital Transformation Sales Recreation/Entertainment 91

datapine

MARCH 31, 2022

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with. BI Data Scientist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson.

Technology 140

Technology Enterprise Consulting Software 140

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). So there are three unusual books suggested for your reading list. Secondly, because stakeholders.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Edge caches become crucial for managing data on its way from web servers to mobile devices. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84