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Reporting at Motorola - Predictive analytics & business insights 2014
 

Reporting at Motorola - Predictive analytics & business insights 2014

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In this presentation, Patrick Deglon will share his learnings and provide best practices when using open Google tools & API. He will present his daily email report that hundreds of key Motorola ...

In this presentation, Patrick Deglon will share his learnings and provide best practices when using open Google tools & API. He will present his daily email report that hundreds of key Motorola stakeholders are receiving to drive the business, as well as a mobile solution based on the latest web technologies, including Google Visualization, Bootstrap CSS and many of the Google APIs (Gmail, BigQuery, Analytics, Drive, App Engine, Users authentication, etc.).

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    Reporting at Motorola - Predictive analytics & business insights 2014 Reporting at Motorola - Predictive analytics & business insights 2014 Presentation Transcript

    • motorola confidential Reporting at Motorola Predictive Analytics & Business Insights 2014 http://www.gatewayanalyticsnetwork.com/b122-home Dr Patrick Deglon Director of Engineering, Analytics Area Tech Lead Motorola Mobility pdeglon@motorola.com pdeglon
    • motorola confidential ... Overview of Motorola Business About Us Motorola exists to invent, build and deliver the best mobile devices on the planet, improving the lives of millions of people.
    • motorola confidential Motorola 1928 “Galvin Manufacturing Corporation” created, producing battery eliminators 1940 First walkie- talkie which was vital to Allied communication “one small step for man, one giant leap for mankind” through a Motorola transceiver 1969 1973 2011 20141986 Invented six sigma quality improvement process first private handheld mobile phone call; world's first commercial cellular device 1983 world's first handset to combine a Linux operating system and Java technology 2003 Source: Wikipedia Motorola splits into Motorola Mobility & Motorola Solutions
    • motorola confidential •  Business overview •  Demos –  Daily Activations Report –  Moto Insights –  Drive Insights Agenda
    • motorola confidential Daily Activations Report How to provide a global source of truth and start to provide insights from data points? Existing Situation - Numerous (conflicting) sources of truth - Too many variations of same data cube - “Table in your face” approach - No global business definition - No curation of manually entered data points - Report accessible on an internal portal (through VPN) - No mobile form factor
    • motorola confidential Key Performance Indicators Motorola Factory # Shipments Distribution Channels # Sales First Usage # Activations Simplified Business Flow
    • motorola confidential Data Flow Motorola Factory # Shipments Distribution Channels # Sales First Usage # Activations Google BigQuery Motorola Cloud Insights ...
    • motorola confidential Demo Daily Report: Final Email
    • motorola confidential Google: A galaxy of open APIs and Tools… App EngineBig Query Compute Engine Users Cloud Messaging Analytics Maps Visualization Data Store Cloud Storage Cloud SQL Drive Docs Translate Predict Mail Data Store Task Queue Memcache URL Fetch Cloud End Point Channel Java Python Go Mail and many more ... BACKUP
    • motorola confidential Demo Daily Report ●  Get data (pivot) from BigQuery ●  Spreadsheet magic ●  Insights: WoW trends with statistics test, Key driver for growth, Key milestone, internal QA tests ●  Email ●  Embedded Chart ●  Scheduler https://docs.google.com/a/motorola.com/spreadsheet/ccc?key=0AgldkCMfisBTdF83VVJqdFVEZFZiZjgyTWJNdzRNblE&usp=drive_web#gid=21
    • motorola confidential •  Assume sales follow a diffusion S-shape, i.e. Description of the illustrative simulation Marketing Word of mouth ΔN Nmax N •  Add random noise to theoretical daily activations (Poisson) •  Simulated daily activations (sales) for United States, Canada, Brazil, India, Russia, China, Germany and United Kingdom with various launch date per region ΔN = a (Nmax - N) + b N (Nmax - N)
    • motorola confidential Step 1: Create a backbone table SELECT CAL_DT, Country FROM ON A.Dummy=B.Dummy WHERE B.CAL_DT>=A.Launch_Date motorola.com:sandbox:demo.backbone: INNER JOIN ( SELECT Country, CASE WHEN Country IN ('United States','Canada') THEN '2013-08-01' WHEN Country IN ('Brazil','Russia','India','China') THEN '2013-10-01' ELSE '2013-12-01' END AS Launch_Date, GDP_USD/1e7 AS Scale, 1 AS Dummy FROM [motorola.com:sandbox:pdeglon.countries] WHERE Country IN ('United States','Canada','Brazil','Russia','India', 'China','Germany','United Kingdom') ) AS B ( SELECT CAL_DT, 1 AS Dummy FROM [motorola.com:sandbox:pdeglon.calendar] ) AS A X BACKUP
    • motorola confidential Step 2: Calculate KPI value over time SELECT CAL_DT, Country, ‘Phone 123’ AS Model, INTEGER(Scale* EXP(-POW( -150,2)/2/POW(75,2)) /(75*SQRT(2*PI())) ) AS Daily_Activations FROM [motorola.com:sandbox:demo.backbone] motorola.com:sandbox:demo.baseline: DATEDIFF(TIMESTAMP(CAL_DT),TIMESTAMP(Launch_Date)) ... Normal Distribution: BACKUP
    • motorola confidential Step 3: Add Random Noise SELECT CAL_DT, Model, Country, INTEGER( Daily_Activations + SQRT(Daily_Activations) * SQRT(-2*LN(RAND()))*COS(2*PI()*RAND()) ) AS Daily_Activations FROM [motorola.com:sandbox:demo.baseline] motorola.com:sandbox:demo.simulation: Normal (Gaussian) Random Number (mu=0, sigma=1) (pseudo) Poisson distribution for N=Daily_activation BACKUP
    • motorola confidential Step 4: Final Pivot for report SELECT CAL_DT, SUM(Daily_Activations) AS Total, SUM(CASE WHEN Country IN ('United States','Canada') THEN Daily_Activations ELSE 0 END) AS NA, SUM(CASE WHEN Country IN ('Brazil','Russia','India','China') THEN Daily_Activations ELSE 0 END) AS BRIC, SUM(CASE WHEN Country IN ('Germany','United Kingdom') THEN Daily_Activations ELSE 0 END) AS EU, SUM(CASE WHEN Country='United States' THEN Daily_Activations ELSE 0 END) AS UnitedStates, SUM(CASE WHEN Country='Canada' THEN Daily_Activations ELSE 0 END) AS Canada, SUM(CASE WHEN Country='Brazil' THEN Daily_Activations ELSE 0 END) AS Brazil, SUM(CASE WHEN Country='Russia' THEN Daily_Activations ELSE 0 END) AS Russia, SUM(CASE WHEN Country='India' THEN Daily_Activations ELSE 0 END) AS India, SUM(CASE WHEN Country='China' THEN Daily_Activations ELSE 0 END) AS China, SUM(CASE WHEN Country='Germany' THEN Daily_Activations ELSE 0 END) AS Germany, SUM(CASE WHEN Country='United Kingdom' THEN Daily_Activations ELSE 0 END) AS UnitedKingdom FROM [motorola.com:sandbox:demo.simulation] WHERE CAL_DT<CURRENT_DATE() GROUP BY 1 ORDER BY 1 DESC BACKUP
    • motorola confidential Demo Daily Report: New Menu Item
    • motorola confidential Demo Daily Report: Edit Code (App Script)
    • motorola confidential Demo Daily Report: Example for adding a new menu item
    • motorola confidential Demo Daily Report: Key Query (pivot)
    • motorola confidential Demo Daily Report: Running the query
    • motorola confidential Demo Daily Report: Parsing the results
    • motorola confidential Demo Daily Report: Data Sheet
    • motorola confidential Demo Daily Report: Summary sheet
    • motorola confidential Demo Daily Report: Preparing email
    • motorola confidential Demo Daily Report: Email template sheet
    • motorola confidential Demo Daily Report: Preparing email
    • motorola confidential Demo Daily Report: Sending email
    • motorola confidential Demo Daily Report: Signal vs Noise and Main Drivers
    • motorola confidential Demo Daily Report: Key Milestones
    • motorola confidential Demo Daily Report: Final Email
    • motorola confidential Demo Daily Report: Scheduling
    • motorola confidential •  Business overview •  Demos –  Daily Activations Report –  Moto Insights –  Drive Insights Agenda
    • motorola confidential Moto Insights How to provide insights to executive-on-the-go with a robust system where new report take seconds to create? Existing Situation - Require VPN - New Report take weeks - New features take months - Issue Tickets come weekly
    • motorola confidential Demo Moto Insights Moto Insights App Engine Data Source: Big Query Report Meta Data: Datastore Tracking: Datastore Users Access: Google Users (email) + Datastore (role) Moto Insights Web portal Moto Insights Android App
    • motorola confidential Demo Moto Insights: Main menu & Responsive Design responsive design
    • motorola confidential Demo Moto Insights: Report Details
    • motorola confidential Demo Moto Insights: 1st Chart Details
    • motorola confidential Demo Moto Insights: Chart Types
    • motorola confidential Demo Moto Insights: Dummy Example
    • motorola confidential •  Business overview •  Demos –  Daily Activations Report –  Moto Insights –  Drive Insights Agenda
    • motorola confidential Drive Insights How to democratize Analytics within the company while maintaining quality (data & insights) as well as maintain Big Data usage under control? Existing Situation - Reports are produce by a centralized team - Role management is becoming out of control - Product teams are complaining to have to run SQL repeatedly on BigQuery console
    • motorola confidential Demo Drive Insights (v2) Drive Insights App Engine Data Source: Big Query Data Source: Google Analytics iFrame Source: Tableau Server iFrame Source: Google Documents Data Source: Spreadsheet & CSV Report Meta Data: Google Drive (Text file with JSON) Report Meta Data: Datastore (Report copy & usage tracking) Users Access Control: Google Users + Drive Sharing Google Drive Moto Insights Android App Drive Insights Web portal
    • motorola confidential Demo Drive Insights: New document type
    • motorola confidential Demo Drive Insights: Report creation
    • motorola confidential Demo Drive Insights: 1st Chart Details
    • motorola confidential Demo Drive Insights: 2nd Chart Details
    • motorola confidential Demo Drive Insights: Chart Types
    • motorola confidential Demo Drive Insights: SQL Editor (CodeMirror)
    • motorola confidential Demo Drive Insights: Report document in your Google Drive
    • motorola confidential Demo Drive Insights: Dummy Example
    • motorola confidential Demo Drive Insights: Drive Sharing
    • motorola confidential Q&A ? Dr Patrick Deglon Director of Engineering, Analytics Area Tech Lead Motorola Mobility pdeglon@motorola.com pdeglon
    • motorola confidential In this presentation, Patrick Deglon will share his learnings and provide best practices when using open Google tools & API. He will present his daily email report that hundreds of key Motorola stakeholders are receiving to drive the business, as well as a mobile solution based on the latest web technologies, including Google Visualization, Bootstrap CSS and many of the Google APIs (Gmail, BigQuery, Analytics, Drive, App Engine, Users authentication, etc.). Abstract
    • motorola confidential Dr Patrick Deglon Director of Engineering, Analytics Area Tech Lead Motorola Mobility With a PhD in Particle Physics, Patrick Deglon spent the last decade driving business insights at eBay and at Motorola Mobility, a Google company. At eBay, he led significant improvements in marketing effectiveness by developing methods to measure incremental sales, and by running large scale experiments on Internet marketing channels. He joined Motorola Mobility in 2013 to help raise the bar in Analytics and on-board open Google tools and technologies. He is now the Area Tech Lead for Analytics within the Cloud Services organization. He is married with two kids and enjoys his town of Campbell, CA. Bio