book

Analytics

by Phil Simon

July 2017

Beginner to intermediate

304 pages

5h 54m

English

Wiley

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A Little History LessonAnalytics and the Need for SpeedBook Scope, Approach, and StyleIntended AudiencePlan of AttackNextNotes
The Moneyball EffectDigitization and the Great UnbundlingAmazon Web Services and Cloud ComputingNot Your Father’s Data StorageMoore’s LawThe Smartphone RevolutionThe Democratization of DataThe Primacy of PrivacyThe Internet of ThingsThe Rise of the Data-Savvy EmployeeThe Burgeoning Importance of Data AnalyticsData-Related ChallengesCompanies Left BehindThe Growth of Analytics ProgramsNextNotes
Types of DataGetting the DataData in MotionNextNotes
Defining AnalyticsTypes of AnalyticsStreaming Data RevisitedA Final Word on AnalyticsNextNotes
The Case against Traditional Analytics ProjectsProving the Superiority of Agile MethodsThe Case for Guidelines over RulesNextNotes
A Very Brief HistoryScrum TeamsUser StoriesBacklogsSprints and MeetingsReleasesEstimation TechniquesOther Scrum Artifacts, Tools, and ConceptsNextNotes
Perform Business DiscoveryPerform Data DiscoveryPrepare the DataModel the DataScore and DeployEvaluate and ImproveNextNotes

The UTC and Project BackgroundProject Goals and KickoffIteration OneIteration TwoIteration ThreeIteration FourResultsLessonsNextNotes
The Value of Business ExperimentsPiLab’s Adventures in AnalyticsA Better Approach to HiringStaffingThe Value of PerksResults and LessonsNextNotes
Project BackgroundBusiness and Data DiscoveryThe Friction BeginsAstonishing ResultsDeveloping OptionsThe Grand FinaleResults and LessonsNextNotes
Paying NursesEnter the ConsultantUser StoriesAgile: The Better WayResultsLessonsNextNotes
Unintended but Familiar ConsequencesEvaluating the ProblemResults and LessonsNextNotes
Life at IACLife at RDCComparing the TwoNextNotes
People IssuesData IssuesThe Limitations of Agile AnalyticsNextNotes
The Genes of MusicThe Tension between Data and DesignNextNotes
A Tale of Two RetailersThe Blurry Futures of Data, Analytics, and Related IssuesFinal Thoughts and Next StepsNotes
BooksArticles and Essays

Content preview from Analytics

PART FOURMaking the Most Out of Agile Analytics

In Part Four, we learn about the benefits, drawbacks, and limitations of Agile analytics. We also cover the importance of designing software applications specifically with data and analytics in mind.

This part includes the following chapters:

Chapter 12: The Benefits of Agile Analytics: The Upsides of Small Batches
Chapter 13: No Free Lunch: The Impediments to—and Limitations of—Agile Analytics
Chapter 14: The Importance of Designing for Data: Lessons from the Upstarts