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

2.7 SUMMARY

Table 2.1 summarizes the problem definition step.

images

Figure 2.1. Project timeline

Table 2.1. Project definitions summary

Steps Details
Define objectives
  • Define the business objectives
  • Define specific and measurable success criteria
  • Broadly describe the problem
  • Divide the problem into sub-problems that are unambiguous and that can be solved using the available data
  • Define the target population
  • If the available data does not reflect a sample of the target population, generate a plan to acquire additional data
Define deliverables
  • Define the deliverables, e.g., a report, new software, business processes, etc.
  • Understand any accuracy requirements
  • Define any time-to-compute issues
  • Define any window-of-opportunity considerations
  • Detail if and how explanations should be presented
  • Understand any deployment issues
Define roles and responsibilities
  • Project leader
  • Subject matter expert/business analyst
  • Data analysis/data mining expert
  • IT expert
  • Consumer
Assess current situation
  • Define data sources and locations
  • List assumptions about the data
  • Understand project constraints (e.g., hardware, software, personnel, etc.)
  • Assess any legal, privacy or other issues relating to the presentation of the results
Define timetable
  • Set aside time for education upfront
  • Estimate time for the data preparation, implementation, and deployment steps
  • Set aside time for reviews ...
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