Skip to Content
Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining
book

Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining

by Glenn J. Myatt
November 2006
Beginner to intermediate
292 pages
7h 26m
English
Wiley-Interscience
Content preview from Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining

8.2 DELIVERABLES

There are many options for delivering data analysis or data mining solutions. Some of the more popular include:

  • Report: A report describing the business intelligence derived from the project is a common deliverable. The report should be directed to the persons responsible for making decision. It should focus on significant and actionable items, that is, it should be possible to translate any conclusions into a decision that can be used and that makes a difference. It is increasingly common for the report to be delivered through the corporate intranet to enable additional interested parties to benefit from the report.
  • Integration into existing systems: The integration of the results into existing operational systems or databases is often one of the most cost effective approaches to delivering a solution. For example, when a sales team requires the results of a predictive model, that ranks potential customers on the basis of the likeliness that they will buy a particular product, the model may be integrated with the CRM system (Customer Relationship Management) that they currently use on a daily basis. This minimizes the need for training and makes the deployment of the results easier. Prediction models or data mining results can also be integrated into system accessible to a customers such as e-commerce web sites. In this situation, customers may be presented with additional products or services that they may be interested in, identified using an embedded prediction ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, 2nd Edition

Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, 2nd Edition

Glenn J. Myatt, Wayne P. Johnson
Intelligent Data Analysis

Intelligent Data Analysis

Deepak Gupta, Siddhartha Bhattacharyya, Ashish Khanna, Kalpna Sagar

Publisher Resources

ISBN: 9780470074718Purchase book