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ENTERPRISE ANALYTICS making it BIG
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Enterprise Analytics - Superweek 2016 - February 2nd 2016

Apr 11, 2017

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Peter Mëyer
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Page 1: Enterprise Analytics - Superweek 2016 - February 2nd 2016

ENTERPRISE ANALYTICS

making it

BIG

Page 2: Enterprise Analytics - Superweek 2016 - February 2nd 2016

MAKINGGSENSE

Page 3: Enterprise Analytics - Superweek 2016 - February 2nd 2016

Call me - Steen• Senior partner and co-founder• 15+ years of analytics

– Including log file analyzing • Google Partner Academy Trainer• Nominated as global analytics

”Practitioner of the year” both 2014 & 2015 & ”Analytics Industy Contributor”

Page 4: Enterprise Analytics - Superweek 2016 - February 2nd 2016

Call me - Peter• 10+ years of analytics

– Including log file analyzing ;-)• 19 years of web development

– 7 years of Sitecore coding– C#, SQL, HTML, CSS and the likes

• Certified in Google Analytics, Adobe Analytics, Ensighten TMS, Tealium TMS, Sitecore + some

• Have worked at Aller Media and GN ReSound between 2006 and 2014, and then at IIH Nordic from 2014

Page 5: Enterprise Analytics - Superweek 2016 - February 2nd 2016

Call us – IIH Nordic• One of the largest digital specialist

agencies and the largest analytics agency in the Nordics ”Best Danish Analytics House” 13-16

• Nominated as ”agency of the year” at the Digital Analytics Association

• 40 people certified i GA• 15 dedicated Web Analysts• Specialists analysts in SEO, Campaign,

Conversion, PPC, Remarketing, YouTube etc.

Page 6: Enterprise Analytics - Superweek 2016 - February 2nd 2016

THEENTERPRISE

Page 7: Enterprise Analytics - Superweek 2016 - February 2nd 2016

Challenges of Enterprise Analytics

Technical Setup The ‘Human Factor’ User Access

Multiple sites Data Quality

Page 8: Enterprise Analytics - Superweek 2016 - February 2nd 2016

TECHNICALSETUP

Page 9: Enterprise Analytics - Superweek 2016 - February 2nd 2016

TECHNICALSETUP

Data sent to analytics can be of mixed quality

Page 10: Enterprise Analytics - Superweek 2016 - February 2nd 2016

TECHNICALSETUP

Difficult to compare different sites

Data gets incorrectly inflated

Test – and production data gets mixed

THE PAIN

Page 11: Enterprise Analytics - Superweek 2016 - February 2nd 2016

TECHNICALSETUP THE SYMPTOMS

http://www.brand.co.uk/homepage/fashionhttp://www.brand.dk/home/fashion

http://www.brand.co.uk/home/fashion/footwearhttp://www.brand.dk/home/fashion/shoes-boots

http://www.brand.co.uk/?query=shoeshttp://www.brand.dk/?keyword=shoes

Page 12: Enterprise Analytics - Superweek 2016 - February 2nd 2016

TECHNICALSETUP THE SYMPTOMS

http://www.brand.co.uk/homepage/fashionhttp://www.brand.dk/home/fashion

http://www.brand.co.uk/home/fashion/footwearhttp://www.brand.dk/home/fashion/shoes-boots

http://www.brand.co.uk/?query=shoeshttp://www.brand.dk/?keyword=shoes

Page 13: Enterprise Analytics - Superweek 2016 - February 2nd 2016

TECHNICALSETUP THE SYMPTOMS

http://www.brand.co.uk/homepage/fashionhttp://www.brand.dk/home/fashion

http://www.brand.co.uk/home/fashion/footwearhttp://www.brand.dk/home/fashion/shoes-boots

http://www.brand.co.uk/?query=shoeshttp://www.brand.dk/?keyword=shoes

Page 14: Enterprise Analytics - Superweek 2016 - February 2nd 2016

TECHNICALSETUP THE SYMPTOMS

http://www.brand.co.uk/homepage/fashionhttp://www.brand.dk/home/fashion

http://www.brand.co.uk/home/fashion/footwearhttp://www.brand.dk/home/fashion/shoes-boots

http://www.brand.co.uk/?query=shoeshttp://www.brand.dk/?keyword=shoes

Page 15: Enterprise Analytics - Superweek 2016 - February 2nd 2016

TECHNICALSETUP THE SYMPTOMS

http://www.brand.co.uk/homepage/fashionhttp://www.brand.dk/home/fashion

http://www.brand.co.uk/home/fashion/footwearhttp://www.brand.dk/home/fashion/shoes-boots

http://www.brand.co.uk/?query=shoeshttp://www.brand.dk/?keyword=shoes

Page 16: Enterprise Analytics - Superweek 2016 - February 2nd 2016

TECHNICALSETUP

Before Analytics

Send data as consistent as possibleSeparate test and staging data from that of the

production environment

REMEDY #1

TMS is a great help here

Page 17: Enterprise Analytics - Superweek 2016 - February 2nd 2016

TECHNICALSETUP

In AnalyticsRefine and clean incoming dataLowercase, include, exclude, and in some cases rewrites

Define correct settingsPaths, search, qs params, goals ...

REMEDY #2

Page 18: Enterprise Analytics - Superweek 2016 - February 2nd 2016

HUMANFACTOR

Page 19: Enterprise Analytics - Superweek 2016 - February 2nd 2016

HUMANFACTOR

HUMANS THINK DIFFERENTLY

(and act accordingly)

Page 20: Enterprise Analytics - Superweek 2016 - February 2nd 2016

Same campaigns multiple timesLooks like different ones

Difficult to overview

Campaigns non-functionalInsufficiently set up

THE PAINHUMANFACTOR

Page 21: Enterprise Analytics - Superweek 2016 - February 2nd 2016

THE SYMPTOMS

?utm_source=Newsletter&utm_medium=e-mail&utm_campaign=octo10?utm_source=newsletter&utm_medium=E-mail&utm_campaign=October10?utm_source=newsleter&utm_medium=mail&utm_campaign=OCT10?utm_source=nyhedsbrev&utm_medium=Email&utm_campaign=oktober10

HUMANFACTOR

Different values = different campaigns

Page 22: Enterprise Analytics - Superweek 2016 - February 2nd 2016

THE SYMPTOMS

?utm_source=Newsletter&utm_medium=e-mail&utm_campaign=octo10?utm_source=newsletter&utm_medium=E-mail&utm_campaign=October10?utm_source=newsleter&utm_medium=mail&utm_campaign=OCT10?utm_source=nyhedsbrev&utm_medium=Email&utm_campaign=oktober10

HUMANFACTOR

Different values = different campaigns

Page 23: Enterprise Analytics - Superweek 2016 - February 2nd 2016

THE SYMPTOMS

?utm_source=Newsletter&utm_medium=e-mail&utm_campaign=octo10?utm_source=newsletter&utm_medium=E-mail&utm_campaign=October10?utm_source=newsleter&utm_medium=mail&utm_campaign=OCT10?utm_source=nyhedsbrev&utm_medium=Email&utm_campaign=oktober10

HUMANFACTOR

Different values = different campaigns

Page 24: Enterprise Analytics - Superweek 2016 - February 2nd 2016

THE SYMPTOMS

?utm_source=Newsletter&utm_medium=e-mail&utm_campaign=octo10?utm_source=newsletter&utm_medium=E-mail&utm_campaign=October10?utm_source=newsleter&utm_medium=mail&utm_campaign=OCT10?utm_source=nyhedsbrev&utm_medium=Email&utm_campaign=oktober10

HUMANFACTOR

Different values = different campaigns

Page 25: Enterprise Analytics - Superweek 2016 - February 2nd 2016

THE SYMPTOMS

?utm_source=Newsletter&utm_medium=e-mail&utm_campaign=octo10?utm_source=newsletter&utm_medium=E-mail&utm_campaign=October10?utm_source=newsleter&utm_medium=mail&utm_campaign=OCT10?utm_source=nyhedsbrev&utm_medium=Email&utm_campaign=oktober10

HUMANFACTOR

Different values = different campaigns

Page 26: Enterprise Analytics - Superweek 2016 - February 2nd 2016

Tools

REMEDY #1HUMANFACTOR

Page 27: Enterprise Analytics - Superweek 2016 - February 2nd 2016

utm_id

REMEDY #2HUMANFACTOR

/page1?utm_id=abc987

ga:campaignCode ga:source ga:medium

123abc Winter Newsletter email

abc987 Summer Newsletter email

Page 28: Enterprise Analytics - Superweek 2016 - February 2nd 2016

USERACCESS

Page 29: Enterprise Analytics - Superweek 2016 - February 2nd 2016

USERACCESS

Various business units needs access the same data,

but with

different angles or access levels

Page 30: Enterprise Analytics - Superweek 2016 - February 2nd 2016

Analytics users’ accessWrong data

Too much dataNot enough data

THE PAINUSERACCESS

Page 31: Enterprise Analytics - Superweek 2016 - February 2nd 2016

RollupsMake use of rollups per country,

business unit, brand or something else

REMEDY #1USERACCESS

Page 32: Enterprise Analytics - Superweek 2016 - February 2nd 2016

REMEDY #1USERACCESS

Page 33: Enterprise Analytics - Superweek 2016 - February 2nd 2016

APIControl access to analytics

through API

REMEDY #2USERACCESS

Page 34: Enterprise Analytics - Superweek 2016 - February 2nd 2016

MULTIPLESITES

Page 35: Enterprise Analytics - Superweek 2016 - February 2nd 2016

MULTIPLESITES

Demands to analytics implementations

differ

from website to website

Page 36: Enterprise Analytics - Superweek 2016 - February 2nd 2016

MULTIPLESITES THE PAIN

Cookies are not allowed before a policy has been

seen by the users

Page 37: Enterprise Analytics - Superweek 2016 - February 2nd 2016

Use a TMS to connect cookie-less tracking with normal cookie tracking

A REMEDYMULTIPLESITES

+

Page 38: Enterprise Analytics - Superweek 2016 - February 2nd 2016

A REMEDYMULTIPLESITES

First visited page tracked without a cookie

Page 39: Enterprise Analytics - Superweek 2016 - February 2nd 2016

MULTIPLESITES

For some countries you need to anonymize users

THE PAIN

Page 40: Enterprise Analytics - Superweek 2016 - February 2nd 2016

Use a TMS to anonymize users

A REMEDYMULTIPLESITES

Page 41: Enterprise Analytics - Superweek 2016 - February 2nd 2016

DATAQUALITY

Page 42: Enterprise Analytics - Superweek 2016 - February 2nd 2016

DATAQUALITY

Site changes tend to happen, without the web

analysts knowing it

Page 43: Enterprise Analytics - Superweek 2016 - February 2nd 2016

DATAQUALITY

Pages and functionalityNot tracked

Tracked incorrectlyUnknown tags on siteData Quality uncertain

THE PAIN

Page 44: Enterprise Analytics - Superweek 2016 - February 2nd 2016

DATAQUALITY

Analytics AlertsUse Analytics Alerts to inform

you about important data changes

REMEDY #1

Page 45: Enterprise Analytics - Superweek 2016 - February 2nd 2016

DATAQUALITY

Test and Audit tool

REMEDY #2

Added bonus:Find tags not supposed to be there

Page 46: Enterprise Analytics - Superweek 2016 - February 2nd 2016

THEBIG PICTURE

Page 47: Enterprise Analytics - Superweek 2016 - February 2nd 2016

The MarTec Stack

Page 48: Enterprise Analytics - Superweek 2016 - February 2nd 2016
Page 49: Enterprise Analytics - Superweek 2016 - February 2nd 2016

Challenges of Enterprise Analytics

Technical Setup The ‘Human Factor’ User Access

Multiple sites Data Quality

Page 50: Enterprise Analytics - Superweek 2016 - February 2nd 2016

(+45) 70 20 29 19

[email protected]

www.iihnordic.dk

dk.linkedin.com/in/pmeyerdk

Senior Web Analytics TechnicianPeter Meyer

(+45) 70 20 29 [email protected]/in/steenrasmussen

Senior PartnerSteen Rasmussen