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DATA OVERLOAD

DATA OVERLOAD. Presented by Victor Vella Ecommerce Director Spitzer Auto Group Digital Dealer 13 Oct. 25 2012. What is Data Overload?. SRP/ VDP Google Analytics SEM AutoTrader.com vAuto Cars.com Social Media Online Reviews Phone Call Tracking

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DATA OVERLOAD

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  1. DATA OVERLOAD Presented by Victor Vella Ecommerce Director Spitzer Auto Group Digital Dealer 13 Oct. 25 2012

  2. What is Data Overload? • SRP/ VDP • Google Analytics • SEM • AutoTrader.com • vAuto • Cars.com • Social Media • Online Reviews • Phone Call Tracking • Other Key Performance Indicators (KPIs)

  3. Data Overload

  4. What’s the Solution? • 3 Step Plan • Identify and Filter • Organize and Process • Present and Analyze

  5. Step 1 - Identify and Filter • It is unrealistic to expect to keep track of all the available data by yourself • Identify which KPIs are the most important for your dealership(s) • Which Criteria is going to lead to more traffic and sales

  6. Real Life Example • Beginning ofFebruary we averaged only 60% of our inventory being pictured online • We decided that we needed to track the number of vehicles that were missing photos • We determined that we wanted to track the following criteria: • New, Used, and Total vehicles missing • Average # of Photos • % with Vehicle Description

  7. Real Life Example • February • Group Average 32.67% Missing Photos • 873 Vehicles without photos • September • Group Average 13.30% Missing Photos • 317 Vehicles without photos

  8. Step 2 - Organize and Process • This is the most time intensive stage • Key things to do in this stage: • Cull out irrelevant data • Assemble relevant data into groups • Perform any operations on the datasets • Sum, Average, ect

  9. What Tools Should You Use • Microsoft Excel • Macros (Visual Basic) • Advanced Filtering • Conditional Formatting • SQL Database • Long-term storage • Powerful for data mining Need Help? vvella@spitzer.com jbogzevitz@spitzer.com

  10. Real Life Example

  11. Real Life Example

  12. Step 3 - Present and Analyze • Whether you are making the decisions or someone else is, it is critical that you make your data readable

  13. Compare

  14. Real Life Example • What are some techniques you can use to improve your readability? • Conditional Formatting • Color coding • Icon sets • Gradients • Graphs and Charts • Sorting

  15. Real Life Example

  16. Real Life Example

  17. Real Life Example

  18. Real Life Example

  19. Review • Isolate which metrics are most important for your dealership • Organize and process the raw data into something that is usable • Present your data in a readable format that will enable you to easily see trends and make the best decisions for your dealership

  20. Moving to the Next Level • Interactive Reporting Dashboards • Allow managers to drill down to the data that they need instead of what you think they need • Easily view trends overtime • Look at a global overview or drilldown to a single store with the click of a mouse • Robust, scalable, and fun!

  21. Questions? • Email addition questions to vvella@spitzer.com

  22. Thank You for Attending

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