Smart Data Collective

JUNE 16, 2022

Team Upskilling: Train business analysts on planning, gap analysis, scoping & blueprinting, cost-benefit calculation of new initiatives, solution architecture, modelling, elicitation, requirement management, performance management, and other improvement initiatives. Tools Updating: A business analyst is as good as his/her tools.

Business Analytics 120

Business Analytics Analytics Forecasting Business Analysis 120

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 29, 2018

To better understand multiple linear regression, let’s look at one such analysis of independent variables: Temperature and Humidity, and a target variable (yield). How Can Multiple Linear Regression Be Helpful for Business Analysis? Use Case – 1. About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Average value of all cars in U.S.

Analytics 40

Analytics Forecasting Statistics Sales 40

Occam's Razor

FEBRUARY 7, 2011

For help with identifying opportunities and how to do business analysis please see this post: The Beginner's Guide to Advanced Web Data Analysis. By doing multichannel analytics! The best option is to hire a statistician with experience in data modeling and forecasting. Sadly David, nothing like that exists.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Smarten

DECEMBER 12, 2018

Business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response, and ongoing changes in buying behaviour. When an enterprise chooses to implement self-serve Advanced Analytics, it encourages user empowerment and user adoption.

Analytics 40

Analytics Business Intelligence Data mining Predictive Modeling 40