CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? For example, how might social media spending affect sales?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smart Data Collective

NOVEMBER 1, 2020

Unlike supervised ML, we do not manage the unsupervised model. k-means Clustering – Document clustering, Data mining. In data mining, k-means clustering is used to classify observations into groups of related observations with no predefined relationships. DBSCAN Clustering – Market research, Data analysis.

Machine Learning 134

Machine Learning Data mining Visualization Statistics 134

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 122

Predictive Analytics Analytics Predictive Modeling Data mining 122

Smart Data Collective

JUNE 23, 2022

The right data analytics tools can be very valuable. Here are some financial analytics tools that are worth exploring: TrendingView is a financial analytics tool that helps you create useful financial visualizations. Data analytics tools make it easier to take a deep dive into your finances. Offer multiple payment options.

Analytics 108

Analytics Data mining Finance Insurance 108

FineReport

JULY 28, 2021

Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information. Insurance Dashboard (by FineReport). Free Download.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

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. Furthermore, the implementation of healthcare data mining techniques allows organizations to uncover hidden patterns and correlations within their datasets.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Domino Data Lab

MARCH 11, 2021

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing. What hardware, software, and cloud services are used for scaling?

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143