Maximize user privacy and data insights Minimize the effect of legal boundaries on your data requirements Menu Close AI data requirementsData anonymizationUser consentSynthetic dataPersonally identifiable informationData fuzzificationCommon redundanciesData measurementFines imposedCohort-based dataData lawsData in transitTools requiring PIIData at restDigital analyticsData pseudonymization Digital analytics How merging digital analytics into product teams can make you more successful Digital analytics How to be successful as a Measurement / Implementation Specialist Digital analytics How your analytics tool is only as good as its implementation Gathering PII How new privacy features make your data consistently worse Digital analytics How to be successful as a Digital Analyst / Digital Data Analyst Employee retention How quality data improves employee happiness and retention Digital analytics How inaccurate source data causes snowballing costs downstream Gathering PII How switching to a new analytics solution won’t fix data issues Digital analytics How to be successful as a Director of Digital Analytics Marketing analytics Matching numbers across all your MarTech and analytics tools Gathering PII Don’t treat analytics as one-off implementation projects Gathering PII Don’t underestimate technical data collection challenges Legal compliance Collect 100% of user events without breaking privacy laws Customer retention Reduce churn by reacting to customer behavior in real-time Gathering PII Don’t model data at the source for a specific data use case Gathering PII Don’t collect the same data multiple times, do it right once
