Business Analytics Using SAS Enterprise Guide and SAS by Olivia Parr-Rud

By Olivia Parr-Rud

This educational for facts analysts new to SAS firm advisor and SAS company Miner offers necessary event utilizing robust statistical software program to accomplish the categories of industrial analytics universal to such a lot industries.

Today’s companies more and more use information to force judgements that continue them aggressive. particularly with the inflow of huge facts, the significance of information research to enhance each size of commercial can't be overstated. information analysts are as a result popular; despite the fact that, many hires and potential hires, even though proficient with admire to company and facts, lack the knowledge to accomplish enterprise analytics with complex statistical software program.

Business Analytics utilizing SAS company consultant and SAS firm Miner is a beginner’s advisor with transparent, illustrated, step by step directions that may lead you thru examples in response to company case reviews. you'll formulate the company target, deal with the information, and practice analyses that you should use to optimize advertising and marketing, danger, and buyer dating administration, in addition to enterprise techniques and human assets. subject matters comprise descriptive research, predictive modeling and analytics, patron segmentation, marketplace research, share-of-wallet research, penetration research, and enterprise intelligence.

This e-book is a part of the SAS Press application.

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To refresh means to keep the current variables and rerun the model on new data. Refreshing the model usually makes sense, unless an opportunity emerges to introduce new predictive information. For example, if a new data source becomes available, then incorporating that information into a new model might make sense. If a model is very old, testing the building of a new one might be advisable. Finally, if strong shifts occur in the marketplace, then a full-scale model redevelopment may be warranted, as happened in the credit card industry when low introductory rates were launched.

Overall Objective. The reason or purpose of the model is critical for ongoing relevance and tracking.

00) NA NA NA Total 46 Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner You create the deciles by sorting the file by its score or probability (high to low) and by then dividing it into 10% groupings. Each decile can display a number of calculations including quantities, mean performance, and lift. 4 offers a lot of information. The following list describes each column in order, from left to right: 1. Decile: Ordered from 1 to 10, decile 1 is the best performing decile and decile 10 is the worst 2.

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