By Olivia Parr-Rud
This educational for information analysts new to SAS firm advisor and SAS company Miner presents invaluable event utilizing robust statistical software program to accomplish the types of commercial analytics universal to such a lot industries.
Today’s companies more and more use facts to force judgements that maintain them aggressive. particularly with the inflow of huge information, the significance of information research to enhance each measurement of commercial can't be overstated. info analysts are as a result well known; although, many hires and potential hires, even supposing gifted with admire to company and facts, lack the information to accomplish company analytics with complicated statistical software program.
Business Analytics utilizing SAS firm consultant and SAS company Miner is a beginner’s consultant with transparent, illustrated, step by step directions that may lead you thru examples in keeping with enterprise case reports. you'll formulate the company target, deal with the information, and practice analyses for you to use to optimize advertising, chance, and client courting administration, in addition to company methods and human assets. subject matters contain descriptive research, predictive modeling and analytics, shopper segmentation, marketplace research, share-of-wallet research, penetration research, and company intelligence.
This publication is a part of the SAS Press software.
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Additional info for Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner: A Beginner's Guide
48 Maintain the Model ........................................................................................................... 49 Notes from the Field ......................................................................................... 52 Introduction In this chapter, you will learn about different types of descriptive and predictive analyses that are commonly used in business today. Once your source data sets are loaded and you have all the supporting documents necessary to access and understand the data, you are ready to start your analysis.
Predictive analysis tools like regression, decision trees, and neural networks give you the power to prioritize and optimize a broad range of marketing, risk, and process decisions. You will see examples of each type of analysis with guidelines to determine when to use descriptive analysis and when to use predictive analysis. The goal of this chapter is to help you see opportunities to increase your competitive advantage by interpreting both descriptive and predictive analyses and taking appropriate business actions.
However, it is often more accurate on an individual level, especially for publicly traded companies. Behavioral Data Behavioral data is a measurement of people’s action or lack of action. Typically, behavioral data is the most predictive kind. Depending on the industry, behavioral data may include elements such as the following: • • • • • • • • • • • response to an offer purchase date amount of purchase type of purchase ending of subscription payment date payment amount customer service action insurance claim default bankruptcy Website and social media activity are also forms of behavioral data.