According to Gartner's Data Quality Market survey, poor data health was costing organizations an average of US$15 million annually to do patch-ups in bad business decisions. The best way to stop data quality from hampering your business is to prevent bad data in the first place. Zurich partnered with us in the joint venture of rectifying Zurich existing approach in data gathering to ensure data health and integrity across key Zurich digital channels.
SERVICES
INDUSTRY
LEAD TIME
3 months
YEAR
2020
The only way to meet fundamental business goals is to take action based on trustable data.
Removing data quality issues
Multibillion-dollar companies like Zurich are generally more susceptible to run into issues with data management. During our discovery journey with the team, we identified the following key problems in Zurich's digital data landscape.
Data such as tags was not sent to the correct database, which in turn created corrupted entries with missing variables.
Some information had obscure usage or purposes, causing great confusion around the proper methodology for data management.
Data was not visualized in a standard way, which made it difficult for data analysts and business owners to draw insight or conclusion from data.
The optimization of Zurich's digital data analytics with the GTM approach
Utilizing a wide array of solutions from Google 360 (and to name a few, that included Google Analytics, Tag Manager and Data Studio), we enabled a more reliable end-to-end process from data gathering, processing to utilization.
By properly defining data and their respective properties, it became easier to add relevant event tracking to keep track of user behaviors and the performance across Zurich's digital channels.
The centralization of data helps improve data integrity within Zurich as it avoids having more than one set of data that requires constanct synchronisation. Data also becomes more accessible, allowing improved productivity.
Data visualization through Data Studio transform data to highly comprehensible insights, offering analyst and business owners an effective means to monitor or evaluate the situation and make quick adjustment or deploy strategies in a timely manner.
Final words, there's wisdom in the "data is like garbage" quote. Know what to do with it before collecting it to support long-term goals in business.
Terry Luk / Digital Strategy Lead
Koey / Project Executive
Kama Chan / Data Analytics Specialist