decoding & demystifying data integration

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DECODING & DEMYSTIFYING DATA INTEGRATION Partner, Web Analytics Demystified michele@webanalyticsdemystified .com MICHELE KISS

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Post on 14-Jun-2015

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As the digital marketing ecosystem gets more complex—more channels, more sources, more customers—it gets more difficult to understand what it all means. And let's not even talk about how expensive it can be to analyze it all. But it doesn't have to be that way. This presentation outlines how even a sole analyst can make strides to integrate data for a more comprehensive picture of marketing success. Also available via video playback of webinar: http://www.tableausoftware.com/learn/webinars/decoding-and-demystifying-marketing-data-integration

TRANSCRIPT

Page 1: Decoding & Demystifying Data Integration

DECODING & DEMYSTIFYING DATA INTEGRATION

DECODING & DEMYSTIFYING DATA INTEGRATION

Partner, Web Analytics Demystified

[email protected]

Partner, Web Analytics Demystified

[email protected]

MICHELE KISSMICHELE KISS

Page 2: Decoding & Demystifying Data Integration

WEB ANALYTICS DEMYSTIFIED

We literally wrote the book(s) on digital analytics!

@michelejkiss

Page 3: Decoding & Demystifying Data Integration

@michelejkiss

Remember the good ol’ days?

@michelejkiss

Page 4: Decoding & Demystifying Data Integration

The consumer journey

@michelejkiss

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@michelejkiss

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@michelejkiss

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@michelejkiss

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@michelejkiss

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@michelejkiss

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Inconsistent user experience...

@michelejkiss

Page 16: Decoding & Demystifying Data Integration

@michelejkiss@michelejkiss

Page 17: Decoding & Demystifying Data Integration

@michelejkiss

“What can I do?”

@michelejkiss

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@michelejkiss@michelejkiss

@michelejkiss

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@michelejkiss

@michelejkiss

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DATA INTEGRATION EVOLUTION

@michelejkiss

Page 21: Decoding & Demystifying Data Integration

Siloed marketing views and reports:

•Website

•Email

•Social

Integrated views:

•Campaign/initiative success

•KPI measurement across channels

•Comparing trended data across channels

Customer as the common identifier:

•Understanding the individual across channels

@michelejkiss

Page 22: Decoding & Demystifying Data Integration

Siloed marketing views and reports:

•Website

•Email

•Social

Integrated views:

•Campaign/initiative success

•KPI measurement across channels

•Comparing trended data across channels

Customer as the common identifier:

•Understanding the individual across channels

@michelejkiss

Page 23: Decoding & Demystifying Data Integration

@michelejkiss

Page 24: Decoding & Demystifying Data Integration

@michelejkiss

“Just pull all the data in, then we’ll figure it out”

is not a strategy

Page 25: Decoding & Demystifying Data Integration

@michelejkiss

Page 26: Decoding & Demystifying Data Integration

@michelejkiss

DON’T THINK ABOUT METRICS.DON’T THINK ABOUT METRICS.START WITH GOALS AND OBJECTIVES.

(Metrics for metrics’ sake are worthless. )

What are the overall business goals?

What are the goals of this effort?

What do you WANT?How will you know if you got it?

START WITH GOALS AND OBJECTIVES.(Metrics for metrics’ sake are worthless. )

What are the overall business goals?

What are the goals of this effort?

What do you WANT?How will you know if you got it?

@michelejkiss

Page 27: Decoding & Demystifying Data Integration

Defining what’s important is more work up front, but it gives you the structure to know what to bring in.

@michelejkiss

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DEFINE KPIs

This isn’t a list of

“every metric we can think of to put on a report”or “every metric I can pull out of Google Analytics”

These critical metrics will be used to determine success.

They define what you want out of the effort.

@michelejkiss

Page 29: Decoding & Demystifying Data Integration

Business Objectives Measurable KPIs

@michelejkiss

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IDENTIFY YOUR SOURCES

You’ve determined your KPIs...

•What data sources do they come from?

•How can you access?

@michelejkiss

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Does the data exist?

@michelejkiss

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1. Does it exist at all?

Does the data exist?

@michelejkiss

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1. Does it exist at all?2. Does it exist in the tools you have access to?

Does the data exist?

@michelejkiss

Page 34: Decoding & Demystifying Data Integration

1. Does it exist at all?2. Does it exist in the tools you have access to?

3. Does it exist in the format you need?

Does the data exist?

@michelejkiss

Page 35: Decoding & Demystifying Data Integration

Direct Connector

Direct Connector

Excel, Access or Text fileGoogle BigQuery, HIVE,ODBC and more

@michelejkiss

METHODS OF ACCESS

Page 36: Decoding & Demystifying Data Integration

BRING IT ALL TOGETHER

Campaign Goal: Engage consumers and drive purchase via photos, sharing and coupons

KPI Goal Target Actual % to Goal

Coupon Prints Purchase intent

20,000 25,000 125%

Coupon Redemption

Purchase 15,000 12,500 83%

Photo Submissions on microsite

Engagement 50,000 49,000 98%

Facebook Coupon Shares

Awareness 18,000 25,000 139%

@michelejkiss

Page 37: Decoding & Demystifying Data Integration

You’ll still dive deeper…

@michelejkiss

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@michelejkiss

Forest, not trees@michelejkiss

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Partner, Web Analytics Demystified

[email protected]

@michelejkiss

Partner, Web Analytics Demystified

[email protected]

@michelejkiss

MICHELE KISSMICHELE KISS

Questions?