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. Business terms and data policies should be implemented through standardized and documented business rules. Compliance & Auditability. Data Governance.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

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

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

CIO Business Intelligence

OCTOBER 13, 2023

The role of algorithm engineer requires knowledge of programming languages, testing and debugging, documentation, and of course algorithm design. They help direct customers to the right associates, connect users with important documentation, and can alleviate some of the load on customer service representatives.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

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. CYVC offers the possibility to process large amounts of data (semi-) automatically in a short time frame and identifies risks based on different assessment methods.

Cost-Benefit 75

Cost-Benefit Risk Digital Transformation Risk Management 75

IBM Big Data Hub

AUGUST 28, 2023

These are two common methods for text representation: Bag-of-words (BoW): BoW represents text as a collection of unique words in a text document. Term frequency-inverse document frequency (TF-IDF): TF-IDF calculates the importance of each word in a document based on its frequency or rarity across the entire dataset.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

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]. That’s where model debugging comes in.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

FineReport

FEBRUARY 17, 2021

Document all the resources: financial, personnel, and other resources required to reach project goals. 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.

Reporting 98

Reporting Management Dashboards Risk 98

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. Exploratory Data Analysis (EDA) EDA is used to analyze data and summarize their main properties and characteristics using visual techniques. OCR is widely used to digitize all kinds of physical documentation.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

DataRobot

JULY 16, 2021

It’s multidimensional, so to understand accuracy holistically, you need to evaluate it through multiple tools and visualizations. Robust documentation throughout the end- to-end modeling workflow is one of the strongest enablers of compliance. 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

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. EDA is used to analyze data and summarize their main properties and characteristics using visual techniques. OCR is widely used to digitize all kinds of physical documentation. Predictive Analytics.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

IBM Big Data Hub

JULY 27, 2023

EAM can help companies stay compliant by providing up-to-date documentation, tracking necessary inspections, ensuring that all equipment meets the required standards, and providing alerts for upcoming compliance-related activities. It can also significantly increase uptime and lifespan.

Cost-Benefit 55

Cost-Benefit IoT Internet of Things Enterprise 55

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

DataRobot Blog

JUNE 27, 2022

Within the data drift tab of a DataRobot deployment, users are able to both quantify the amount of shift that has occurred in the distribution, as well as visualize it. While having such telemetry is crucial for sound model risk management principles, it is not, by itself, sufficient. Conclusion.

Risk 59

Risk Modeling Metrics Measurement 59

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. Today, top AI-assistant capabilities delivering results include generating code, test cases, and documentation. So, what delivers on the productivity promise today?

Cost-Benefit 115

Cost-Benefit Advertising Experimentation Software 115

erwin

FEBRUARY 20, 2020

Whether documenting systems and technology, designing processes and value streams, or managing innovation and change, organizations need flexible but powerful EA and BP tools they can rely on for collecting relevant information for decision-making. The Advantages of Enterprise Architecture & Business Process Modeling from erwin.

Enterprise 128

Enterprise Modeling Dashboards Digital Transformation 128

DataRobot Blog

JULY 21, 2022

If there is no forward-looking predictive component to the use case, it can probably be addressed with analytics and visualizations applied to historical data. Document assumptions and risks to develop a risk management strategy. Create model compliance documentation for regulated industries.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

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. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

IBM Big Data Hub

APRIL 4, 2024

Document-centric BPM is for efficiently managing documents and content—such as contracts—within processes. Also, BPM provides real-time insights into compliance metrics and risk exposure, enabling proactive risk management and regulatory reporting.

Management 55

Management Cost-Benefit Metrics Consulting 55

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

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 They sold off most of the company later, retaining some of its IP, and are known to have kept copies of internal documents. That definition plus the one-liner provide good starting points. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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. It required banks to maintain data architecture supporting risk aggregation at all times.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

DataRobot Blog

FEBRUARY 21, 2022

Also, since security and risk management have become board-level issues for organizations ( Gartner ), you need to think about these as well. Visualizations: How flexible is plotting? What different visualizations does the solution support? How can I mitigate security risks? How are your systems performing?

Data Science 52

Data Science Recreation/Entertainment Risk Visualization 52

Smart Data Collective

FEBRUARY 20, 2022

In addition, well-known products boast a lot of implementations and use cases that are comprehensively reflected in the documentation. The steady growth of data volumes collected and stored by businesses has called forth the need for solutions that can visualize the results of processing these data flows.

Behavioral Analytics 115

Behavioral Analytics Risk Machine Learning Interactive 115

DataRobot Blog

DECEMBER 20, 2022

DataRobot also processes nearly every type of data , such as satellite and street imagery of real estate properties using DataRobot Visual AI , the latitude and longitude of properties and nearby city’s points of interest using DataRobot Location AI , tweets, and reviews with geotagged locations using DataRobot Text AI.

Management 59

Management Machine Learning Optimization Modeling 59

Smart Data Collective

AUGUST 2, 2019

The recently updated policies stipulate that software, hardware, customer support and all documentation must meet certain accessibility standards. These include: New accessibility plugins for people with visual impairments. This applies to all websites, mobile apps, and online applications.

Risk 70

Risk Machine Learning Sales Visualization 70

datapine

AUGUST 29, 2022

Additionally, numerous case studies on risk management, fraud detection, customer relationship management, and web analytics are included and described in detail. Topics covered here range from backtesting and benchmarking approaches to data quality issues, software tools, and model documentation practices.

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. On the flip side, document everything that isn’t working. CFOs and CMOs are good fits.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

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. Precisely buys PlaceIQ.

Technology 142

Technology Enterprise Consulting Software 142

Jet Global

NOVEMBER 16, 2022

A board report is a document presented to the governing body of a company to help keep the board members up-to-speed on what’s going on within the corporation. A board report is one that combines and summarizes all the committee reports, as well as the report of the executive director, into one document. management satisfaction.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94