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Post Grad ELM Mind Map on Data Analytics, created by anelvr on 04/11/2015.
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Mind Map by
, updated more than 1 year ago
over 8 years ago
Perf. monitoring & Trends
Monitor user beh. + mkt campaign perf.
Only clear pic if presented in context
Massive data sets, require specialised software & massive PCs to process
Measure trends not absolute figures
Find patterns hidden in lrg numbers & databases
Auto comp program
A world of data
Variety of sources
eg online data: social media, emails, forums
Some browsers gather info
Habits • Crashes • Problems
App store data
Way people download / pay for / use
EG Google, Google app store
Cust. service logs
In person surveys
In store foot traffic
Align with strategic outcome of B
"What want to achieve with mkt campaign"
Eg: Increase sales, web traffic, brand awareness
To optimize website & e-mkt
NB: to ID unique visitors
Action user takes
Type of user beh.
Eg: Purchase, view # pages
Completed goal = conversion
Derives from obj.
"What need user to do to achieve obj."
Metric indicate whether obj been met
"What data need to see if goals completed"
Eg. Obj to incr. web traffic, have to incr. # visitors, % new, how long stay on
Actual target KPI needs to meet to decline campaign success
Eg. newsletter sub, target 100 p/m
Path analysis: annalize each step
Events / micro conversions: Process of achieving ultimate goal broken down into steps
How info captured
Page tagging, info to 3rd party server eg Google Anal.
Can be used by comp.
Good level support
Log files - web servers - raw data readily available.
Comp must have access to server
Very accurate, record every lick & visits from SE spiders => SEO
Switch vendors still able to analyze
Often done in house
New Google feature
Track people not just sessions
How beh. depend on device
How beh. changes the longer fan of brand
How often interacting with brand
Lifetime value & engagement
Allows import data from other sources into Google Anal.
Track Analyse Optimise
Key elements to analyse
Behaviours (Intent of visitors)
Outcomes (how many perf. intended goals)
UX (Patterns of user beh., how influence to achieve obj?)
Bounce Rate: do users engage?
Key words / phrases, Best?
Top content - what attract & keep
Tracking Collecting Measuring Reporting Analyzing
Easy, Quick, Affordable
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