datapine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. For example, you could be the one to extract actionable insights from specific retail KPIs that need to be visualized and presented during a meeting. BI developer. BI engineer.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Rely on interactive data visualizations. However, it is possible to identify some potential drawbacks and apply risk management practices in advance. click to enlarge**. Pursue a phased approach.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

FineReport

JUNE 7, 2023

Moreover, the implementation of an effective Project Management Dashboard facilitates data-driven decision-making and sustainable business success. This approach is facilitated by project management dashboards, which enable you to monitor, optimize, and enhance project performance while boosting overall team productivity.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 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. Let’s take a look at how and why.

Management 52

Management Risk Management Risk Visualization 52

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 124

IT Risk Cost-Benefit Risk Management 124

FineReport

MARCH 24, 2024

They analyze, interpret, and manipulate complex data, track key performance indicators, and present insights to management through reports and visualizations. Proficiency in programming languages such as R and SAS is essential for data gathering, cleaning, and visualization.

Statistics 52

Statistics Data mining Visualization Reporting 52

erwin

JULY 8, 2020

With the help of business process modeling (BPM) organizations can visualize processes and all the associated information identifying the areas ripe for innovation, improvement or reorganization. You then can understand where your data is, how you can find it, how you can monetize it, how you can report on it, and how you can visualize it.

Slice and Dice 136

Slice and Dice Modeling Digital Transformation Visualization 136

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

Ontotext

FEBRUARY 26, 2024

Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Here’s how our tool makes it work.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

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 190

Machine Learning Modeling Testing Risk Management 190

CIO Business Intelligence

SEPTEMBER 7, 2022

Cropin Apps, as the name suggests, comprises applications that support global farming operations management, food safety measures, supply chain and “farm to fork” visibility, predictability and risk management, farmer enablement and engagement, advance seed R&D, production management, and multigenerational seed traceability.

B2B 78

B2B Contextual Data IoT Deep Learning 78

Smart Data Collective

JUNE 3, 2021

Making better risk assessments. Risk management is one of the most important elements of financial planning. Analytics tools help companies develop better risk scoring models. Mosaic analyticsprepares automated visualizations to answer critical business questions. Conducting better asset valuations.

Management 87

Management Finance Analytics Analytics Technologies 87

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. CIOs and IT leaders are at the center and must decide what copilots to test, who should receive access, and whether experiments are delivering business value.

Cost-Benefit 105

Cost-Benefit Advertising Experimentation Software 105

AWS Big Data

APRIL 12, 2023

We identified Amazon QuickSight , a fully managed, cloud-native business intelligence (BI) service, as the product that fit all our criteria. 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.

Dashboards 60

Dashboards Risk Data-driven Visualization 60

Octopai

JULY 9, 2020

As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. A key piece of legislation that emerged from that crisis was BCBS-239.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

Octopai

JANUARY 19, 2020

Here’s a sampling: – Principle 1 covers data governance, including “a firm’s policies on data confidentiality, integrity, and availability, as well as risk-management policies.”. – Principles 7-11 include risk reporting, including the comprehensiveness, timeliness, usefulness, and accuracy of risk management reports. .

Metadata 61

Metadata Risk Management Risk Business Intelligence 61

AWS Big Data

JANUARY 27, 2023

The following screenshot shows an example of our Issues & Actions dashboard, designed for risk managers and audit managers, showing various issues in need of attention. Quicksight provides a range of visualization options that allows users to customize their dashboards and reports to fit their specific needs and preferences.

Data-driven 52

Data-driven Dashboards B2B Visualization 52

erwin

APRIL 30, 2021

Priority 3: Risk Management – Security and Compliance. Businesses are paying close attention to risk from internal and external sources. Understanding the applications you have, the applications in use, and the applications that are ripe for retirement is an important part of running an efficient IT operation.

Enterprise 131

Enterprise Digital Transformation Risk Management Risk 131

DataRobot Blog

APRIL 11, 2022

We may easily imagine the harm of having a loan application unfairly rejected, but what about the harm of being granted an unaffordable loan or the harm of inaccessibility to the system for people without access to the internet, or with language barriers or visual impairments. Conclusion.

Risk 98

Risk Risk Management Software Consulting 98

FineReport

AUGUST 13, 2021

Insurance companies provide risk management in the form of insurance contracts. Industry-specific, comprehensive, and reliable data management and presentation have become an issue of increasing concern in the insurance industry. Allow Eye-Catching Visual Effect. Rich visual effects-FineReport. Conclusion.

Insurance 52

Insurance Dashboards KPI Analytics 52

AWS Big Data

JANUARY 31, 2024

We show you how to access data, define custom functions to apply on data, query and filter the dataset, and visualize the results of the analysis, all without having to worry about setting up infrastructure or configuring Spark, even for large datasets. Athena Spark automatically determines how many DPUs to launch for processing our dataset.

Marketing 86

Marketing Analytics Visualization Strategy 86

FineReport

FEBRUARY 17, 2021

Risk management. Here, project managers should summarize all predicted risks so that stakeholders can obtain a clear risk assessment and prepare plan B. Amazing data visualization of your ideas. Various visualization effects, such as auto-play and 3D animation, can be realized simply by drag-and-drop.

Reporting 98

Reporting Management Dashboards Risk 98

CIO Business Intelligence

OCTOBER 3, 2023

They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. Business process management: an approach that makes a company’s workflow more effective, efficient and adaptable to new developments.

Cost-Benefit 100

Cost-Benefit Machine Learning Interactive Software 100

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. In fact, BPM can be used to improve the project management process.

Management 61

Management Cost-Benefit Metrics Consulting 61

erwin

APRIL 29, 2020

With all these diverse data sources, and if systems are integrated, it is difficult to understand the complicated data web they form much less get a simple visual flow. The visualization of data lineage can help business users spot the inherent connections of data flows and thus provide greater transparency and auditability.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

CIO Business Intelligence

JULY 6, 2023

From 1 January 2024, the provisions relating to supplier risk management will also apply to companies with more than 1,000 employees. Automation, integration and consistency make it flow By the end of 2023, companies in Germany with more than 3,000 employees must have implemented the due diligence obligations under SCDDA.

Cost-Benefit 66

Cost-Benefit Risk Digital Transformation Risk Management 66

AWS Big Data

FEBRUARY 13, 2023

As trusted advisors to card networks and Fortune 500 companies, we are known for our expertise in the areas of transaction risk management, chargeback mitigation, fraud prevention, and dispute intelligence. To date, we have helped businesses worldwide recover over $2 billion in lost revenue.

Dashboards 52

Dashboards Risk Management Forecasting Risk 52

IBM Big Data Hub

JULY 27, 2023

Risk management : Because EAM offers a comprehensive view of all critical assets, it can be an invaluable tool for identifying potential risks, empowering companies to take preemptive steps to avoid accidents and operational disruptions. It can also significantly increase uptime and lifespan.

Cost-Benefit 61

Cost-Benefit IoT Internet of Things Enterprise 61

IBM Big Data Hub

JUNE 29, 2023

Risk management IBP facilitates proactive risk management by considering various scenarios and identifying potential risks and opportunities. By analyzing data and conducting what-if analyses, companies can develop contingency plans and mitigate risks before they materialize.

Key Performance Indicator 84

Key Performance Indicator Forecasting Data Integration Sales 84

CIO Business Intelligence

SEPTEMBER 2, 2022

Skills for financial data engineers include coding skills, data analytics, data visualization, data optimization, data integration, data modeling, cloud computing services, knowledge of relational and nonrelational database systems, and an ability to work with high volumes of structured and unstructured data.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

Skills for financial data engineers include coding skills, data analytics, data visualization, data optimization, data integration, data modeling, cloud computing services, knowledge of relational and nonrelational database systems, and an ability to work with high volumes of structured and unstructured data.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

MARCH 24, 2023

SAS Data Management Built on the SAS platform, SAS Data Management provides a role-based GUI for managing processes and includes an integrated business glossary, SAS and third-party metadata management, and lineage visualization.

Data Governance 142

Data Governance Management Metadata Data Quality 142

IBM Big Data Hub

DECEMBER 4, 2023

Migrating to Oracle requires thorough planning whether a business intends to adopt the platform for the management of a single process—such as finance or human resources—or migrate the entire organization’s operations into the cloud. Reports: Oracle Cloud ERP features numerous reporting systems with specific business cases.

Testing 81

Testing Consulting Digital Transformation Cost-Benefit 81

Cloudera

MARCH 28, 2019

They also fail to model the effects of fear and the risk of contagion. Risk management 3.0. Yet the crisis showed how a loss of confidence in one segment of the market spread rapidly through an unexpectedly interconnected global financial system. This would not be feasible with data based primarily on historical assumptions.

Risk 73

Risk Management Risk Management Machine Learning 73

Jet Global

NOVEMBER 16, 2022

management satisfaction. Compliance Risk Management. Also known as integrity risk, compliance risk management can help your company navigate properly through the hoops of your industry’s laws and regulations. Use Visuals for Your KPIs. Informative Visuals. employee satisfaction. employee trust.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

CIO Business Intelligence

OCTOBER 13, 2023

Other responsibilities include overseeing data management and governance, business unit collaboration, ethics and compliance, risk management, talent acquisition and team building for AI, and monitoring overall performance and analytics reporting on AI tools.

Deep Learning 141

Deep Learning Machine Learning Modeling Software 141

DataRobot

JULY 16, 2021

It’s multidimensional, so to understand accuracy holistically, you need to evaluate it through multiple tools and visualizations. Accuracy — this refers to a subset of model performance indicators that measure a model’s aggregated errors in different ways. The speed of model scoring directly impacts how you can use it in a business process.

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98