datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do?

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

FineReport

APRIL 3, 2024

Integrated with diverse data sources, they empower users to analyze data directly within the dashboard interface, democratizing data analytics for both technical and non-technical users. Dashboards offer immediate visualizations and interactivity, while reports provide in-depth insights that require thorough examination.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

datapine

FEBRUARY 17, 2023

This branch of analytics goes a step further from white label BI due to the context: embeddable analytics are a set of capabilities integrated into systems that already function or exist (CRMs, ERPs, etc.), Moreover, 93% of people within applications teams are currently using embedded business analytics.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

Smart Data Collective

JULY 24, 2023

We will also cover some of the changes brought on by data analytics. Increased Fan Engagement Social media platforms have become the go-to destination for sports fans seeking instantaneous updates and real-time interactions. Social media’s data analytics capabilities have revolutionized sports marketing.

Analytics Technologies 79

Analytics Technologies Marketing Technology Analytics 79

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. The more data they ingest, the better they get.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smart Data Collective

MARCH 11, 2022

Data analytics can assist you in figuring out why people abandon your brand or prefer alternative products instead. Predictive analytics, which analyses historical activities to uncover trends and forecast a specific event, can also predict if a customer is ready to churn or defect. Customer Retention Analytics.

Customer Analytics 118

Customer Analytics Analytics Key Performance Indicator Big Data 118