FineReport

JULY 21, 2021

Enterprise Dashboard ?by Based on business data, BI visualizes business problems through graphics and models. Insurance Dashboard(by FineReport). The FineReport mentioned in this article is a professional enterprise-level BI Reporting & Dashboard Software. Enterprise reporting vs. Enterprise BI. by FineReport?.

Business Intelligence 98

Business Intelligence Enterprise Dashboards Sales 98

FineReport

JULY 28, 2021

financial dashboard (by FineReport). Insurance Dashboard (by FineReport). Perhaps most importantly, it enables machine learning (ML) models to learn from the vast amounts of data being fed to them and put more responsibility on scientific techniques rather than human’s eyes and minds. BI dashboard (by FineReport).

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Cloudera

SEPTEMBER 17, 2020

They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. A couple of insurance companies were not able to visualize weather data together with time-sensitive incident data in their traditional visualization and data warehouse solutions, leaving room for doubt.

Experimentation 83

Experimentation Data Warehouse Dashboards Visualization 83

Smart Data Collective

AUGUST 17, 2022

A hybrid cloud system is a cloud deployment model combining different cloud types, using both an on-premise hardware solution and a public cloud. For example- If you are supposed to process and document which has many key data sets like an employee insurance policy form.

Data Lake 109

Data Lake Insurance Data-driven Data Processing 109

Smart Data Collective

JANUARY 26, 2022

But things have changed, and seamless software dashboards give critical team members real-time access to the most recent data. Improved Insurance Claim Processing. That’s a great challenger for insurance agencies. That’s a great challenger for insurance agencies. Increased Marketing Potential.

Data Analytics 73

Data Analytics Analytics Predictive Analytics Insurance 73

Birst BI

JANUARY 16, 2018

Yes, today a user with no training can take a dashboard that someone else built, make choices from drop-down menus to filter the data, double click on a chart to drill down into it, and other basic actions. The BI system can discover business-critical relationships in the data and automatically build visualizations and dashboards.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

Rita Sallam

JUNE 2, 2023

Dataiku Dataiku chose to focus on flood risk by geography and flooding’s economic impact on commercial insurance policies and claims. Southern Florida’s Atlantic coast has increased flood risk, leading to more and costlier flood insurance claims in areas like Homestead and Miami compared to West Palm Beach and Port Saint Lucie.

Optimization 52

Optimization Insurance Machine Learning Risk 52

Smart Data Collective

NOVEMBER 3, 2021

We have talked extensively about the role of AI in investment management and insurance. Due to interactive dashboards available on digital lending platforms, banks can monitor customer interactions, keep track of their risks and financial results, access document databases, and get relevant analytics.

Software 121

Software Data-driven Interactive Insurance 121

Sisense

MARCH 27, 2019

Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions. This allows dashboards to show both real-time and historic data in a holistic way. Who Uses Real-Time BI? What are the Real-Time BI Best Practices?

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. The reality of LLMs and other “narrow” AI technologies is that none of them is turn-key.

Insurance 83

Insurance Risk Data-driven Finance 83

Data Insight

OCTOBER 27, 2021

How Data Insight helped a leading insurer deepen its relationship with existing customers. A leading insurer wanted to identify which of its customers could be offered premium policies, which would not only provide increased revenue for the business, but also a deeper level of customer engagement. Getting started with AI.

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52

Rita Sallam

APRIL 2, 2023

Dataiku Dataiku chose to focus on flood risk by geography and flooding’s economic impact on commercial insurance policies and claims. Southern Florida’s Atlantic coast has increased flood risk, leading to more and costlier flood insurance claims in areas like Homestead and Miami compared to West Palm Beach and Port Saint Lucie.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Cloudera

JANUARY 5, 2023

This is especially so in industries like telecom, retail, healthcare, manufacturing, insurance, and financial services. We foresee organizations pivoting focus beyond the algorithm to things like business-ready predictive dashboards, visualizations, and applications that simplify the use of AI systems to reach conclusions.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Alation

SEPTEMBER 7, 2021

Now that you have empowered data scientists and analysts to access the Snowflake Data Cloud and speed their modeling and analysis, you need to bolster the effectiveness of your governance models. Before they can use data to build their model or perform day-to-day analysis – they need to understand its quality. Find Trusted Data.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Decision Management Solutions

MARCH 11, 2019

The three main topics covered in the webinar are: “What is decision ‘modeling’ and where does it apply” “How do you choose the right analytics” “What are the best practices for deploying analytics into operations”. What is decision ‘modeling’ and where does it apply”. It’s not data modeling.

Management 74

Management IT Data Science Modeling 74

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

IBM Big Data Hub

FEBRUARY 2, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. In today’s world, data warehouses are a critical component of any organization’s technology ecosystem.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

Cloudera

APRIL 6, 2022

“So far, our data is matching our models and expectations,” Feinberg added. “You get faster sorts of alerts and dashboarding on that data coming in from the devices to [the programmer], who determines where the big trends are going,” Brooks said.

Big Data 103

Big Data Machine Learning Insurance Data Processing 103

Occam's Razor

JANUARY 4, 2021

Our CMO Dashboard is one table with six KPIs. For analysis being shared with executives (via email, presentation, slack), I recommend my Insights-Actions-Business Impact (IABI) model of storytelling with data. Imagine that. Three inputs KPIs (to identify who to blame). Three output KPIs (to identify success/failure clearly).

Reporting 113

Reporting Analytics Metrics Visualization 113

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Consumption services Amazon QuickSight is the recommended service for creating reports and dashboards.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Occam's Razor

JULY 15, 2014

I'm excited about the power of a well created dashboard. Dashboards are every where, we will look at a lot of them in this post and they are all digital. Here's a great dashboard, for the Museum of Art… take a minute to ponder it… Isn't it pretty awesome? And data pukes are not dashboards.

Dashboards 159

Dashboards Key Performance Indicator Snapshot Slice and Dice 159

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

FineReport

APRIL 9, 2024

Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smart Data Collective

MARCH 25, 2019

Technology has had a profound impact on the insurance industry. Insurers are relying heavily on big data as the number of insurance policyholders also grow. Big data analytics can help solve a lot of data issues that insurance companies face, but the process is a bit daunting. Big Data Analytics in Fraud Cases.

Insurance 86

Insurance Data Analytics Analytics Big Data 86

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

CIO Business Intelligence

MAY 28, 2022

Liberty Mutual’s cloud infrastructure runs an array of business applications and analytics dashboards that yield real-time insights and predictions, as well as machine learning models that streamline claims processing. Liberty Mutual’s data scientists employ Tableau and Python extensively to deploy models into production.

Insurance 143

Insurance Machine Learning Digital Transformation Cost-Benefit 143

IBM Big Data Hub

FEBRUARY 8, 2024

For industries providing essential services to clients such as insurance, banking and retail, the law requires the use of a fundamental rights impact assessment that details how the use of AI will affect the rights of customers. Higher risk tiers have more transparency requirements including model evaluation, documentation and reporting.

Risk Management 81

Risk Management Risk Metrics Machine Learning 81

CIO Business Intelligence

MAY 27, 2022

Liberty Mutual’s cloud infrastructure runs an array of business applications and analytics dashboards that yield real-time insights and predictions, as well as machine learning models that streamline claims processing. Liberty Mutual’s data scientists employ Tableau and Python extensively to deploy models into production.

Insurance 97

Insurance Machine Learning Digital Transformation Cost-Benefit 97

DataRobot Blog

JULY 21, 2022

Machine learning models created in silos are rarely implemented. The infrastructure team may want models deployed on a major cloud platform (such as Amazon Web Services, Google Cloud Platform, and Microsoft Azure), in your on-premises data center, or both. Models could also be deployed into multiple environments at once.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

Occam's Razor

OCTOBER 15, 2012

Think of it as attribution modeling. :). Click on each to make your selections, like so where I'm choosing the car and home insurance categories … The click on the other element you are interested in and click your mouse a few times. I've applied lessons from Consumer Barometer to my reports and dashboards.

Advertising 136

Advertising Marketing Strategy Insurance 136

O'Reilly on Data

OCTOBER 11, 2022

Data integration problems aren’t pretty; they’re boring, uninteresting, the “killing field of any modeling project,” as Lorien Pratt has said. The models exist, and are potentially very useful; but on the ground, firefighters and others who respond to emergencies still use paper maps. This leads to a “knowledge decision gap.”

Data Integration 291

Data Integration Insurance Dashboards Modeling 291

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

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. Measurement models and data results are just "trophy wives / husbands" to you.

Marketing 126

Marketing Measurement Metrics Testing 126

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. Evaluating a Data Modeling Tool – Key Features.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

Occam's Razor

MARCH 30, 2017

Most Deep Learning methods involve artificial neural networks, modeling how our bran works. There are some who believe that anything modeled on the human brain, like Deep Learning, will be limited in it’s intelligence, that it will inherit the limits and flaws that our intelligence possesses. They send out reports and dashboards.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

CIO Business Intelligence

APRIL 15, 2022

Derek Driggs, a machine learning researcher at the University of Cambridge, together with his colleagues, published a paper in Nature Machine Intelligence that explored the use of deep learning models for diagnosing the virus. The paper determined the technique not fit for clinical use. The culprit? Data limitations in Microsoft Excel.

Analytics 145

Analytics Machine Learning Insurance Testing 145

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