datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. A fundamental differentiation factor is in the method each of them uses as a base.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

FineReport

APRIL 24, 2024

Interactivity: Incorporating interactive features allows users to explore the data more deeply, gaining comprehensive insights from the visualizations. Moreover, interactive features in data visualization tools allow users to delve deeper into the data, exploring specific data points or segments with ease.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Smarten

DECEMBER 3, 2023

Citizen Data Scientists are business users who enjoy data democratization and improved data literacy by adopting analytics tools that are easy to use and allow users with average technical skills to participate in sophisticated analytics and to use that analysis to make day-to-day decisions. What is self-service analytics?

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

datapine

JANUARY 31, 2022

They then proceeded to analyze three areas: the employee selection and onboarding, the daily staff management, and finally the employees’ behavior and interactions in the restaurants. 5) Find improvement opportunities through predictions. 5) Find improvement opportunities through predictions. 6) Smart and faster reporting.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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. Analytics in these types of projects may be less valuable due to lack of generalizability (to the other customers) and poor models (e.g.,

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

FineReport

APRIL 9, 2024

The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making. 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

Occam's Razor

NOVEMBER 18, 2014

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. At a glance you can see all the big clusters of sources (close to the channels view in Google Analytics). You can hover over each box to get a sense of the key metrics. You get a confusing little thing, but the visualization is interactive.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Jet Global

MAY 1, 2023

As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. When visualizations alone aren’t enough to set an application apart, is there still a way for product teams to monetize embedded analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

IBM Big Data Hub

DECEMBER 20, 2023

For instance, if data scientists were building a model for tornado forecasting, the input variables might include date, location, temperature, wind flow patterns and more, and the output would be the actual tornado activity recorded for those days. Manage a range of machine learning models with watstonx.ai temperature, salary).

Machine Learning 78

Machine Learning Modeling Deep Learning Predictive Modeling 78