FineReport

APRIL 9, 2024

Furthermore, maintaining data security and compliance requires continuous vigilance and proactive measures to safeguard against potential vulnerabilities. Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

FineReport

JULY 21, 2021

Organizations of all sizes and stages can use BI software to analyze, manage, and visualize business data. Performance is measure by a set of KPIs. Based on business data, BI visualizes business problems through graphics and models. Insurance Dashboard(by FineReport). The Use of BI in the Enterprise.

Business Intelligence 98

Business Intelligence Enterprise Dashboards Sales 98

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

AWS Big Data

JUNE 6, 2023

For example, medical researchers found that across 79,000 emergency department encounters of pediatric patients in a hospital, incorrect or missing patient weight measurements led to medication dosing errors in 34% of cases. This simple pricing model doesn’t lock you into annual licenses.

Data Quality 93

Data Quality Statistics Data Lake Visualization 93

Smart Data Collective

JANUARY 26, 2022

Usually, the legal space lacked the data to measure appropriately and report its findings. Data visualization methods, such as graphs and charts, reveal trends and insights in an instant. Improved Insurance Claim Processing. That’s a great challenger for insurance agencies. Increased Marketing Potential.

Data Analytics 71

Data Analytics Analytics Predictive Analytics Insurance 71

CIO Business Intelligence

JUNE 13, 2023

Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. Now some AI architects are eyeing the long-forgotten model of analog computation where values are expressed as voltages or currents.

IT 145

IT Scorecard Software Modeling 145

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

Birst BI

OCTOBER 30, 2018

The output of these algorithms, when used in financial services, can be anything from a customer behavior score to a prediction of future trading trends, to flagging a fraudulent insurance claim. The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. Accounts in use.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

erwin

JUNE 27, 2019

The need for an effective data modeling tool is more significant than ever. For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. There’s an expression: measure twice, cut once.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

Occam's Razor

APRIL 25, 2011

The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. Doing anything on the web without a Web Analytics Measurement Model. Making lame metrics the measures of success: Impressions, Click-throughs, Page Views.

Marketing 126

Marketing Measurement Metrics Testing 126

datapine

OCTOBER 21, 2020

Now that we live longer, treatment models have changed and many of these changes are namely driven by data. By utilizing key performance indicators in healthcare and healthcare data analytics, prevention is better than cure, and managing to draw a comprehensive picture of a patient will let insurance provide a tailored package.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 82

Insurance Data Architecture Risk Management Risk 82

Occam's Razor

OCTOBER 15, 2012

Think of it as attribution modeling. :). In this report you also get this lovely visual: It is a little complicated, but stick with me. For the insurance business I'm interested in knowing the % of purchases online and offline, and people who either researched online one, offline only or did not research at all. [In

Advertising 136

Advertising Marketing Strategy Insurance 136

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. Machine learning models created in silos are rarely implemented. Decide who owns monitoring and who owns model redevelopment.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

datapine

MAY 31, 2022

More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. Be it in the form of online BI tools , or an online data visualization system, a company must address where and how to store its data. Cost management and containment.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

CIO Business Intelligence

AUGUST 15, 2023

Shamim Mohammad, CIO, CarMax CarMax That volume created a Sisyphean task for the company’s content writers, as they struggled to provide up-to-date information by make, model, and year for each vehicle in the company’s constantly changing inventory.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Decision Management Solutions

FEBRUARY 25, 2019

To keep processing costs low, many insurance carriers have a goal to increase the percentage of their claims that can be processed and decisioned with no human decision-making involved. Perhaps surprisingly, there remains a fair amount of human intervention involved in processing insurance claims. Design and build a decision model.

Insurance 40

Insurance Management Machine Learning Modeling 40

Octopai

APRIL 4, 2022

Complex Times Call for Complex Measures . If you get the right data and integrate it the right way into models and computerized decision support systems , it can directly power better healthcare decisions. Data is often analyzed or reported on in medical research papers, insurance claim reports or drug development updates.

Metadata 92

Metadata Reporting Visualization Insurance 92

IBM Big Data Hub

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Cloudera

NOVEMBER 25, 2020

And soon also sensor measures, and possibly video or audio data with the increased use of device technology and telemedicine in medical care. An integrated, out of the box visualization and dashboard service that is integrated across multiple compute options, to expedite cross-organization collaboration with a consistent visual language.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

Occam's Razor

JULY 15, 2014

Allow me to visualize the problem above, and leverage that visualization to present the solution. As you might have guessed, you are at the very right of the above visual, with most access to data, the ability to analyze it ( inshallah! ) Notice that both visuals are a continuum. The Solution: Text (Wisdom).

Dashboards 159

Dashboards Key Performance Indicator Snapshot Slice and Dice 159

Domino Data Lab

AUGUST 20, 2019

Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models. It is a framework for approaching ML as well as providing techniques for extracting features from raw data that can be used within the models. We can also modify the features before we start the modeling process.

Testing 68

Testing Modeling Interactive Measurement 68

Domino Data Lab

FEBRUARY 4, 2019

Lately there’s been lots of dialog about bias in machine learning models, though considering the noise part of the equation is an important corollary. The ability to measure results (risk-reducing evidence). I double-dare you not to visualize that cohort! Problems with training ML models efficiently.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Smarten

JULY 10, 2018

Use Case(s): Measure the impact of product price on product sales, measure the impact of temperature on crop yield an more. Input data: Last six months daily viewer count data, insurance claim manager can forecast policy sales for next month based on past 12 months data and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

bridgei2i

OCTOBER 20, 2021

I’m a director at BRIDGEi2i and I lead the Intelligent Operations practice, where we focus on reimagining processes and business models through innovative AI enabled solutions across manufacturing, supply chain and services automation. So those are the two-three things, which I see that, you know, has a quick adoption.

Manufacturing 98

Manufacturing Enterprise IoT Technology 98

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade. See Ribeiro et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. Try some gamification?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

AUGUST 26, 2021

These future-oriented models are used to make predictions. BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices. Business Intelligence (BI) is explanatory and backward-looking.

Metadata 64

Metadata Data Governance Dashboards Software 64