- 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.
- 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
- limited reporting and visualization capabilities of salesforce.
- Cohort analyses KPIs not easily available.
- 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.
- Raw data of transactions and usage in mixpanel and Oracle db.
- startup with limited data, needed projections.
- Customized reports in mixpanel for raw data imported into Oracle db.
- imported data into excel for building cohorts model.
- Arctificial Intelligence
- Machine Learning
- Deep Learning
- Predictive Analytics
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