The presentation describes my views around the data we encounter in digital businesses like:
- Looking at common Data collection methodologies,
-What are the common issues within the decision support system and optimiztion lifecycle,
- Where are most of failing?
and most importantly, "How to connect the dots and move from Data to Strategy?"
I work with all facets of Web Analytics and Business Strategy and see the structures and governance models of various domains to establish and analyze the key performance indicators that allow you to have a 360º overview of online and offline multi-channel environment.
Apart from my experience with the leading analytic tools in the market like Google Analytics, Omniture and BI tools for Big Data, I am developing new solutions to solve complex digital / business problems.
As a resourceful consultant, I can connect with your team in any modality or in any form that meets your needs and solves any data/strategy problem.
28. High Volume High Quality
Behavioral Attitudinal
The DATA that drives
our DECISIONS
29. High Volume High Quality
Behavioral Attitudinal
Actual Artificial
The DATA that drives
our DECISIONS
30. High Volume High Quality
Behavioral Attitudinal
Actual Artificial
systematic observations semi-structured collection
The DATA that drives
our DECISIONS
31. High Volume High Quality
Behavioral Attitudinal
Actual Artificial
systematic observations semi-structured collection
The DATA that drives
our DECISIONS
38. What we want to measure
KPIs / Key Metrics
Collection of Data
Analyze Metrics
Benchmark
Improve
Quantitative
Top Down Analysis
39. What we want to measure
KPIs / Key Metrics
Collection of Data
Analyze Metrics
Benchmark
Improve
Quantitative
Top Down Analysis
Bottom Up Analysis
Qualitative
40. Quantitative
Top Down Analysis
Bottom Up Analysis
Qualitative
What we want to measure
KPIs / Key Metrics
Collection of Data
Analyze Metrics
Benchmark
Improve
Prove
Hypothesis
Collect Data
Devise Experiment
How can we improve?
Why is this happening?
Analyze existing trends
41. What we want to measure
KPIs / Key Metrics
Collection of Data
Analyze Metrics
Benchmark
Improve
Prove
Hypothesis
Collect Data
Devise Experiment
How can we improve?
Why is this happening?
Analyze existing trends
Quantitative
Top Down Analysis
Bottom Up Analysis
Qualitative
42. What’s in the Middle?
What we want to measure
KPIs / Key Metrics
Collection of Data
Analyze Metrics
Benchmark
Improve
Prove
Hypothesis
Collect Data
Devise Experiment
How can we improve?
Why is this happening?
Analyze existing trends
43. What we want to measure
KPIs / Key Metrics
Collection of Data
Analyze Metrics
Benchmark
Improve
Prove
Hypothesis
Collect Data
Devise Experiment
How can we improve?
Why is this happening?
Analyze existing trends
What’s in the Middle?
44. DECISIONS
What we want to measure
KPIs / Key Metrics
Collection of Data
Analyze Metrics
Benchmark
Improve
Prove
Hypothesis
Collect Data
Devise Experiment
How can we improve?
Why is this happening?
Analyze existing trends
What’s in the Middle?
45.
46. Till now,
> How Business Intelligence works
> BI approach and methodologies
towards DATA
> What informs our decisions
50. What we want to measure
KPIs / Key Metrics
Collection of Data
Analyze Metrics
Benchmark
Improve
Prove
Hypothesis
Collect Data
Devise Experiment
How can we improve?
Why is this happening?
Analyze existing trends
What’s in the Middle?
51. REPORTS
What we want to measure
KPIs / Key Metrics
Collection of Data
Analyze Metrics
Benchmark
Improve
Prove
Hypothesis
Collect Data
Devise Experiment
How can we improve?
Why is this happening?
Analyze existing trends
What’s in the Middle?
52. APPROACH
DATASOURCE
Adapted from work of Christian Rohrer 2008
X Multivariate (live
A/B) testing
X Eye Tracking
X Usability
Lab Studies
X Customer
email Feedback
X Intercept
Surveys
X Data Analysis /
Mining
X Live UX
assessments
X Participatory
Design
X Focus Groups
X Card
sorting
X Desirability
studies
X social
Listening
solutions
X Message
board mining
X Email
Surveys
59. Parting Notes
Connect with me asking ‘How do we…
Bridge cultural gaps
Design and Manage integrated web teams
Develop DATA reliance with reliable data
Generate analytical awareness
Improve on tools, methodologies and
standards