CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning. Data analytics methods and techniques.

Data Analytics 126

Data Analytics Diagnostic Analytics Management Analytics 126

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Smart Data Collective

MARCH 3, 2021

The legal sector is still in its infancy when it comes to big data and analytics. Lawyers and law experts are trying to figure it out, and consternation continues to shadow some corners because not everyone can quite understand what analytics is and how it can improve the personal injury law industry.

Analytics 128

Analytics Big Data Predictive Modeling Insurance 128

Smart Data Collective

JANUARY 12, 2022

Data analytics has arguably become the biggest gamechanger in the field of finance. Many large financial institutions are starting to appreciate the many advantages that big data technology has brought. Markets and Markets estimates that the financial analytics market will be worth $11.4 Fraud risks.

Data Analytics 117

Data Analytics Analytics Finance Data mining 117

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Here’s why.

Data-driven 104

Data-driven Cost-Benefit Data mining Big Data 104

IBM Big Data Hub

OCTOBER 30, 2023

A leading insurance player in Japan leverages this technology to infuse AI into their operations. Real-time analytics on customer data — made possible by DB2’s high-speed processing on AWS — allows the company to offer personalized insurance packages.

Insurance 85

Insurance Data Warehouse Data-driven Unstructured Data 85

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

IBM Big Data Hub

JULY 11, 2023

AI-enabled robots can work around sensitive organs and tissues, reducing blood loss, infection risk and post-surgery pain. Census Bureau , 28 million Americans didn’t have health insurance in 2020, and even those with insurance don’t always have coverage for every type of screening they need.

Deep Learning 59

Deep Learning Cost-Benefit Insurance Machine Learning 59

Domino Data Lab

JULY 28, 2021

Data science is a field that uses math and statistics as part of a scientific process to develop an algorithm that can extract insights from data. Depending on what you are trying to accomplish, you will need a predictive or inferential, supervised or unsupervised or a parametric or nonparametric model.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Sisense

MARCH 27, 2019

This allows dashboards to show both real-time and historic data in a holistic way. It also lets companies provide users with the data they need to complete their jobs more effectively, and even assists in predictive analytics. Why is Real-Time BI Crucial for Organizations? What are the Real-Time BI Best Practices?

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

datapine

OCTOBER 11, 2023

3) Top 15 Warehouse KPIs Examples 4) Warehouse KPI Dashboard Template The use of big data and analytics technologies has become increasingly popular across industries. It allows for informed decision-making and efficient risk mitigation. Table of Contents 1) What Is A Warehouse KPI? 2) Why Do You Need Warehouse KPIs?

Metrics 217

Metrics KPI Management Cost-Benefit 217

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” You know, companies like telecom and insurance, they don’t really need machine learning.”

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

Data Analytics 90

Data Analytics Analytics Data Warehouse Data Lake 90

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors.

Risk 55

Risk Machine Learning Risk Management Measurement 55

Domino Data Lab

JUNE 2, 2019

ans from Nick Elprin, CEO and co-founder of Domino Data Lab, about the importance of model-driven business: “Being data-driven is like navigating by watching the rearview mirror. If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. Because of compliance.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Smart Data Collective

DECEMBER 12, 2020

Big data is making a significant impact on the financial world. The market for big data in the banking industry alone is projected to reach over $14.8 How Big Data is Taking the Financial Industry by Storm. quintillion bytes of data daily. Real-Time Analytics. Risk Assessment.

Big Data 137

Big Data Machine Learning Finance Predictive Modeling 137

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. But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Would really like to explore this one in debate.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52