Sisense

SEPTEMBER 25, 2020

A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. Statistics and programming go hand in hand. Mastering statistical techniques and knowing how to implement them via a programming language are essential building blocks for advanced analytics. Linear regression.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

Smarten

JUNE 25, 2018

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Smarten

AUGUST 21, 2019

Assisted Predictive Modeling – These tools enable the average business user to leverage sophisticated predictive algorithms without requiring statistical or data science skills. Users can highlight trends and patterns, test hypotheses and theories to reduce business risk, and easily predict and forecast results.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

The ROI of human involvement When it comes to human involvement, the key difference is in the magnitude of costs associated with any one forecast cycle. This defines the ROI on the investment of human time. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Insight

FEBRUARY 19, 2020

I held out 20% of this as a test set and used the remainder for training and validation. Feature Selection and Engineering Most of the inputs to my model were taken either as is from the data source, or with minimal processing. The ROI is simply the fraction of the budget that the movie makes back at the box office (i.e.,

Risk 67

Risk ROI Modeling Metrics 67

Smarten

JULY 3, 2017

When an enterprise selects a self-serve business intelligence solution with Advanced Data Discovery , Smart Data Visualization , Plug n’ Play Predictive Analysis and Self-Serve Data Preparation , it can create an environment where business users are empowered and become greater assets to the organization.

Predictive Modeling 40

Predictive Modeling Visualization Business Intelligence Experimentation 40

Jet Global

MAY 1, 2023

Return on Investment Now we bring it all together to calculate the ROI on embedded analytics. Costs: The investment in developing and maintaining the solution. “-1”: The formula assures that a positive ROI is achieved only when benefits exceed the costs. The formula looks like this: ($750k / $250k) = 3, so the ROI is 200 percent.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52