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3952735
Data Analytics
Descrição
Post Grad ELM Mapa Mental sobre Data Analytics, criado por anelvr em 04-11-2015.
Sem etiquetas
computer science
data types
elm
post grad
Mapa Mental por
anelvr
, atualizado more than 1 year ago
Mais
Menos
Criado por
anelvr
quase 9 anos atrás
448
6
0
Resumo de Recurso
Data Analytics
Concepts
Perf. monitoring & Trends
Monitor user beh. + mkt campaign perf.
Only clear pic if presented in context
Big Data
Massive data sets, require specialised software & massive PCs to process
Measure trends not absolute figures
Data Mining
Find patterns hidden in lrg numbers & databases
Auto comp program
A world of data
Variety of sources
eg online data: social media, emails, forums
Databases
CRM info
Loyalty progr.
Software data
Some browsers gather info
Habits • Crashes • Problems
App store data
Way people download / pay for / use
EG Google, Google app store
Offline data
POS records
Cust. service logs
In person surveys
In store foot traffic
Objectives
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
Goal
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."
KPI
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
Targets
Actual target KPI needs to meet to decline campaign success
Eg. newsletter sub, target 100 p/m
Funnel analysis
Path analysis: annalize each step
Events / micro conversions: Process of achieving ultimate goal broken down into steps
How info captured
Cookie-based tracking
Page tagging, info to 3rd party server eg Google Anal.
Can be used by comp.
Less accurate
Good level support
Server-based tracking
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
Universal analytics
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.
TAO
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
Geo. distr.
Traffic source?
Tracking Collecting Measuring Reporting Analyzing
Online data
Easy, Quick, Affordable
Quer criar seus próprios
Mapas Mentais
gratuitos
com a GoConqr?
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