Reducing time to insight

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Data extraction, transformation and presentation tips and tricks Reducing Time to Insight Thomas Bosilevac Chief Insight Officer @bosilytics

Transcript of Reducing time to insight

Page 1: Reducing time to insight

Data extraction, transformation and presentation tips and tricks

Reducing Time to Insight

Thomas Bosilevac Chief Insight Officer @bosilytics

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v2

- KPI Definition (organize your data)

- Insight Automation (keep listening)

- GA / WebTrends / Analytics Training

FOR

MER

EM

PLO

YER

S

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Data is VERY important to these execs

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They paid for eMetrics didn’t they?

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Execs want more than they ask

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Not from a lack of

(though still an issue)

“ANALYTICS” GOOGLE SEARCH VOLUME INDEX Or lack

of …

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But this

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Takes

Much

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UNTIL NOW

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Did I go to college for this?

Excel formatting anyone? Crunch Time!

Your current problem?

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The Solution…

Few Hours

Several Days…

Iterative

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Challenges within “Web” Analytics

Disparate Data Sets Google Analytics \ Webtrends \ Omniture Twitter \ Facebook \ YouTube AdWords, DART ads, CPM runs eMail and CRM data

High-cardinality Date, Location, Sources, Landing Page, Campaign

We have lot’s of data systems, not reporting systems

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The Analysts Toolchest

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Collection or Extraction - Get rid of copy / paste - Data becomes more reliable - Controlled data warehousing

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Collection / Extraction - Continuous / scheduled feeds - Advanced data such as filters, segments, etc - Look at Total Cost of Ownership

AnalyticsCanvas – Powerful for Enterprise GA extraction ETL like workflow Scheduled and cloud options

SimplyMeasured Several Social Media sources Pre-compiled reports Access to RAW data

SimplyMeasured Works directly from Excel Proprietary query language Limited GA extraction

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Automated comparison command creates new segment: - Networked (Follower and Friend), - Followers Only, - Friends Only

List of Friends

List of Followers

Exports thousands to millions of friends, followers, tweets, etc from Twitter

NextAnalytics includes several transformation commands extending on Excel’s functionality

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Transformation - Slide and dice data - Rename / Create Dimensions and Measures - Create Groups and Sets of data

AnalyticsCanvas – True ETL tools and functions Save workflow for continuous use Create segments from other dimensions

NextAnalytics Create Global Find and Replace functions Create segments from data or dimensions Pivot across dimensions

Tableau Join data from multiple sources Easily create Groups and Sets of data Drill down dates

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Collection / Extraction

Utilize the “Segment” Block to customize referring sources

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COMPARE – CONTRAST Quickly utilize multi dimension graphing. (scatter + size + color)

Non- Branded

Over 49K unique phrases

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Presentation - Allow interactivity for users - Easily add notes and annotations - Share and discuss with peers

Leftronic Simply to use Dashboard SaaS Easy to rollout and build Limited transformation and presentation options

QlikView Good visual templates Can be end-to-end ETL tool

Tableau Slice and Dice charting (rapid-fire) “Show Me” feature can choose best chart type Ground up data visualization

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ENGAGE

- Use Quick Filters for narrowing down on graphs - Automatically segment, choose different metrics and filter data.

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ACCESSIBILITY A low learning curve is ESSENTIAL for enterprise adoption

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Story Telling - Automate “insights” - Workflow reporting publishing - Communicate data to the masses

InsightRocket Custom Configured data sources Daily/Weekly Alerts and Alarms Publish Stories

Measureful Plugs into Google Analytics Great visuals Concentrated on Sources and Visitor Activity

NarrativeScience Auto generated “Stories” Analyzes several data sets Google Analytics plugin

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Founders have solid understanding of Analysis challenges Integrated best of breed technologies for best of breed insight engine Front-end integration consultation required

Revel “differences”

Investigate from pre-configured data-warehouse

Integrated Tableau functionality into data

Publish to Relevant Members

Discussion Group

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1) Automate Data Extraction 2) Use tools for data transformation 3) Use Data Viz tools to present

In Summary

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