Web/mobile Analytics

 

Scenerio:

 

• In Google Analytics,multiple properties that could not be combined.
• No standardized naming of pages and screens across apps.
• Limited visualization capabilities of Google Analytics.
• Customized segment definitions by buisness.

 

Approach:

 

• Defined data mapping and standardized names in datamart.
• Aggregated data from multiple views into one datamart.
• Built reporting and anailtics app in Qliksense.
• Scalable architecture to add future data and time based analyses.

Lead and Sales Analytics

 

Scenerio:

 

• limited reporting and visualization capabilities of salesforce.
• Cohort analyses KPIs not easily available.

 

Approach:

 

• Created reports for data download.
• built repoting and analytics app in Qliksense.
• Cohort analyses of channels,campaigns,leads, opportunities and customers to understand sales cycle.

Customer Analytics

 

Scenario:

 

• Raw data of transactions and usage in mixpanel and Oracle db.
• startup with limited data, needed projections.

 

Approach:

 

• Customized reports in mixpanel for raw data imported into Oracle db.
• imported data into excel for building cohorts model.

Artificial Intelligence

 

• Arctificial Intelligence
• Machine Learning
• Deep Learning
• Predictive Analytics