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 187

Machine Learning Modeling Testing Risk Management 187

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. The insurance sales dashboard gives the leader a clear picture of key performance metrics.

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 59

Dashboards Risk Data-driven Visualization 59

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.

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

Smart Data Collective

JUNE 3, 2021

Analytics tools enable companies to assess the performance of employees across various metrics and find ways to improve performance. 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.

Management 90

Management Finance Analytics Analytics Technologies 90

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. As copilot technology capabilities are changing rapidly, leaders should frequently identify metrics and evaluate strategies. Generative AI, IT Strategy

Cost-Benefit 105

Cost-Benefit Advertising Experimentation Software 105

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

Sisense

MAY 13, 2021

An analytic application, on the other hand, displays key performance indicators (KPIs) that enable active monitoring of performance, efficiency, or other business metrics and actions. Metrics and visualizations should reveal actionable insights and advise people on what to do next instead of simply being a dump of data.

Reporting 59

Reporting Analytics Dashboards Key Performance Indicator 59

DataRobot Blog

JULY 21, 2022

Data scientists need to understand the business problem and the project scope to assess feasibility, set expectations, define metrics, and design project blueprints. 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.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

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.

Risk 52

Risk Modeling Metrics Business Objectives 52

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports. Database design is often an important part of the business analyst role.

Statistics 97

Statistics Metrics Visualization Finance 97

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. Project Management Dashboard (by FineReport). Optimizing Project Management: Effective Tools. Project management is never a simple task.

Reporting 98

Reporting Management Dashboards Risk 98

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. In reality, banks have hundreds of metrics to regulate, most coming from distinct systems.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

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 73

Testing Consulting Digital Transformation Cost-Benefit 73

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. TB distributed across approximately 300 compressed Parquet files NBBO – 2.8

Marketing 85

Marketing Analytics Visualization Strategy 85

Jet Global

APRIL 5, 2021

Financial modeling involves combining key accounting, finance, and business metrics to build an abstract representation, or model, of a company’s financial situation. This exercise helps a company visualize its current financial position and predict future financial performance. Risk management. Prioritizing projects.

Modeling 98

Modeling Forecasting Metrics Finance 98

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 56

Cost-Benefit IoT Internet of Things Enterprise 56

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 76

Key Performance Indicator Forecasting Data Integration Sales 76

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. Product/market fit is THE most important factor to get right.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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. Give Your Metrics Context. Informative Visuals.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

Jet Global

MAY 9, 2024

For example, streaming data from sensors to an analytics platform where it is processed and visualized immediately. Job schedulers help coordinate the pipeline’s different stages and manage dependencies between tasks. Monitoring tools track performance metrics such as latency, throughput, and error rates.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

IBM Big Data Hub

AUGUST 28, 2023

Data visualization techniques like word clouds, bar charts and network graphs can help you present the findings in a concise, visually appealing way. Evaluate the performance of the text-mining models using relevant evaluation metrics and compare your outcomes with ground truth and/or expert judgment.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Smart Data Collective

FEBRUARY 20, 2022

Different DAM providers use different approaches to defining the key metrics that influence the cost of an off-the-shelf solution. 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

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! Instead, it’s a matter of applying science as a process.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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. Saul Judah is our main person focusing on D&A risk management. Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52