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 98

Insurance Risk Management Machine Learning Metadata 98

CIO Business Intelligence

JULY 5, 2024

These tech debt audits provided a clearer picture of where their biggest risks were, which, in turn, allowed them to prioritize what needs to be addressed first. “We They also created a dashboard, which provided visual representations of where the biggest issues or risks were so they knew exactly what to prioritize first.

Management 115

Management Risk Measurement Dashboards 115

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes. This results in enhanced efficiency in compliance processes.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

IBM Big Data Hub

APRIL 19, 2024

Asset management and technological innovation Advancements in technology underpin the need for holistic grid asset management, making the assets in the grid smarter and equipping the workforce with smart tools. Robots and drones perform inspections by using AI-based visual recognition techniques.

Management 85

Management Internet of Things Risk IoT 85

DataRobot

JULY 16, 2021

Accuracy — this refers to a subset of model performance indicators that measure a model’s aggregated errors in different ways. It’s multidimensional, so to understand accuracy holistically, you need to evaluate it through multiple tools and visualizations. The largest source of bias in an AI system is the data it was trained on.

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

Smart Data Collective

SEPTEMBER 24, 2022

Endpoint security protection measures can also prevent or mitigate many of the worst types of cyberattacks. While hackers can mimic many of the visual aspects of a website, there are some features that are impossible to replicate. Every year, businesses lose billions of dollars to cyberattacks.

Interactive 130

Interactive Risk Software Measurement 130

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

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 96

Cost-Benefit Risk Digital Transformation Risk Management 96

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

AWS Big Data

JANUARY 31, 2024

Transaction cost analysis (TCA) is widely used by traders, portfolio managers, and brokers for pre-trade and post-trade analysis, and helps them measure and optimize transaction costs and the effectiveness of their trading strategies. Athena Spark automatically determines how many DPUs to launch for processing our dataset.

Marketing 110

Marketing Analytics Visualization Strategy 110

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. Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Not every project needs machine learning.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

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.

Reporting 85

Reporting Enterprise Management ROI 85

CIO Business Intelligence

SEPTEMBER 2, 2022

Back-end software engineers are responsible for maintaining the structure of server-side information by optimizing servers, implementing security measures, and developing data storage solutions. You’ll need knowledge of natural language processing (NLP), machine learning, managing complex data infrastructures, and analytics for the role.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

Back-end software engineers are responsible for maintaining the structure of server-side information by optimizing servers, implementing security measures, and developing data storage solutions. You’ll need knowledge of natural language processing (NLP), machine learning, managing complex data infrastructures, and analytics for the role.

Finance 98

Finance IT Software Reporting 98

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

DataRobot Blog

JUNE 27, 2022

A prerequisite in measuring a deployed model’s evolving performance is to collect both its input data and business outcomes in a deployed setting. 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.

Risk 59

Risk Modeling Metrics Measurement 59

IBM Big Data Hub

JUNE 29, 2023

Continuous monitoring and performance management Integrated Business Planning is an ongoing process that requires continuous monitoring of performance against plans and targets. Key performance indicators (KPIs) are established to measure progress and enable proactive management.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

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. An insurance KPI dashboard is to measure the performance and efficiency of insurance agents.

Insurance 52

Insurance Dashboards KPI Analytics 52

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 63

Dashboards Risk Data-driven Visualization 63

AWS Big Data

SEPTEMBER 9, 2024

Real-time data visualization Using real-time feeds to create charts of stocks is the most common use case for real-time market data in the cloud. Stock implied volatility Implied volatility (IV) is a measure of the market’s expectation of how much a stock’s price is likely to fluctuate in the future.

Publishing 109

Publishing Management Snapshot Dashboards 109

FineReport

APRIL 9, 2024

In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization. This trend addresses the need for users to interpret complex datasets through interactive visuals that facilitate a deeper understanding of the underlying information.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

AWS Big Data

SEPTEMBER 26, 2024

These summaries, encapsulating key insights, are stored alongside the original content in the curated zone, enriching the organization’s data assets for further analysis, visualization, and informed decision-making. The following diagram illustrates the solution architecture.

Data Lake 114

Data Lake Cost-Benefit Unstructured Data Modeling 114

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses. Conclusion.

Risk 52

Risk Modeling Metrics Business Objectives 52

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

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

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.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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. Exploratory Data Analysis (EDA). REFERENCES. [1]

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

IBM Big Data Hub

MAY 17, 2024

Experiential product information Al tools allow individuals to learn more about products through processes like visual search, taking a photograph of an item to learn more about it. It can also automate intricate data privacy measures, helping businesses to maintain compliance and protect customer data efficiently.

B2B 64

B2B Interactive Optimization Data-driven 64

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).

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

Andrew White

JANUARY 11, 2021

Coding skills – SQL, Python or application familiarity – ETL & visualization? Value Management or monetization. Risk Management (most likely within context of governance). Product Management. measuring value, prioritizing (where to start), and data literacy? Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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). I double-dare you not to visualize that cohort!

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

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

datapine

AUGUST 29, 2022

are using big data to their advantage, including: Progressive Insurance’s use of GPS trackers/accelerometers which determine customer safety ratings Google’s ability to predict local flu outbreaks by measuring spikes in flu-related local searches The government of Boston fixing potholes using data that residents enter into their smartphones.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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 143

Technology Enterprise Consulting Software 143

Jet Global

MARCH 17, 2025

Learn More EPM solutions bring together financial planning, performance measurement, and operational strategies into one seamless system. By transforming static reports into dynamic, visual insights, EPM empowers finance teams to communicate financial performance in a way that resonates across the organization.

Finance 52

Finance Reporting Forecasting Risk 52