AWS Big Data

AUGUST 7, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions.

Forecasting 86

Forecasting Data Warehouse Machine Learning Modeling 86

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI models can be designed to detect anomalies in real-time site performance data.

Optimization 57

Optimization Forecasting Data-driven Strategy 57

Sisense

FEBRUARY 24, 2021

Whether that data is generated internally or gathered from an external application used by customers, organizations now use on-demand cloud computing resources to make sense of the data, discover trends, and make intelligent forecasts. Data space dimension: Traditional data vs. big data.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

bridgei2i

SEPTEMBER 1, 2020

A glance at the Adobe Digital Economy Index for April 2020 in the consumer tech & electronics department revealed some interesting insights: Online electronics prices have been experiencing deflation at a steady rate since 2014. These are: Watchtower.

Sales 52

Sales Metrics Optimization Enterprise 52

Occam's Razor

OCTOBER 14, 2014

If you want to learn about how to do simple forecasting and trend analysis, please see the official forecast function in Excel post on the Microsoft website, and this handy tutorial on trend lines and forecasting in excel. Couple of other examples of going to your own data to identify your benchmarks.

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

Domino Data Lab

FEBRUARY 4, 2019

Curiosity as an antidote for a typical enterprise anti-pattern: in the absence of narrative, people make up stories (read: myths) from whatever partial data is at hand that serves the immediate interests(see chapter 2 in Understanding Context by Andrew Hinton (2014). Echoing Amy’s point about ownership as a driver for teams.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66