datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. What Is Business Intelligence And Analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

APRIL 19, 2022

They can analyze how product opinions change over time and understand sentiments to improve the response to product reviews, movie or book reviews, advertising campaigns, Amazon product reviews, social media tweets and comments, news headlines media content, and more.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Jedox

MAY 17, 2022

Financial planners , Chief Financial Officers, and analysts have all struggled to build accurate methods for predicting what’s likely to happen. Prior to the dawn of advanced statistical analysis and machine learning, predictive analytics efforts fell into 4 broad categories: Guessing , which is the default that most people revert to.

Predictive Analytics 83

Predictive Analytics Finance Analytics Forecasting 83

Smarten

JUNE 29, 2018

At 95% confidence level (5% chance of error): As p-value = 0.041 which is less than 0.05, there is a statistically significant difference between means of pre and post sample values. Business Problem: A grocery store sales manager wants to know whether daily sales have increased after an advertising campaign.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Smarten

JUNE 21, 2018

Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data. Business Benefit : Helps in planning for repeat telecast and for more advertisement (fund raising) if the projected count of viewers is high.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

O'Reilly on Data

DECEMBER 12, 2019

If you’re using Python and deep learning libraries, the CleverHans and Foolbox packages can also help you debug models and find adversarial examples. Small residuals usually mean a model is right, and large residuals usually mean a model is wrong. Interpretable ML models and explainable ML. Discrimination remediation.

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

Cloudera

NOVEMBER 2, 2020

An AdTech company in the US provides processing, payment, and analytics services for digital advertisers. alert when threshold exceeded over a rolling window of statistics on the data, score the event data against a predictive model to decide which action to take next). One other example highlights this trend.

Data Warehouse 94

Data Warehouse Optimization Dashboards Interactive 94