How to turn data into business value and avoid data issues

Turn data into business value

Don’t let data issues stop you

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

Headcount restrictions

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

Snowballing costs

How inaccurate source data causes snowballing costs downstream

Data-related issues

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

Data-related issues

Don’t treat analytics as one-off implementation projects

Data-related issues

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

Data-related issues

Don’t model data at the source for a specific data use case

Data-related issues

How to turn data into business value and avoid data issues

Turn data into business value

Don’t let data issues stop you

How merging digital analytics into product teams can make you more successful

How to be successful as a Measurement / Implementation Specialist

How your analytics tool is only as good as its implementation

How new privacy features make your data consistently worse

How to be successful as a Digital Analyst / Digital Data Analyst

How quality data improves employee happiness and retention

How inaccurate source data causes snowballing costs downstream

How switching to a new analytics solution won’t fix data issues

How to be successful as a Director of Digital Analytics

Matching numbers across all your MarTech and analytics tools

Don’t treat analytics as one-off implementation projects

Don’t underestimate technical data collection challenges

Collect 100% of user events without breaking privacy laws

Reduce churn by reacting to customer behavior in real-time

Don’t model data at the source for a specific data use case

Don’t collect the same data multiple times, do it right once

Data as a Service: Users & roles

Data as a Service

Legal

Company