Often more than half of analytics problems are caused by data quality issues. Data can get lost, corrupted, or broken by instrumentation errors. Unfortunately, data quality only gets attention after a lot of wasted effort.
Kubit helps organizations automatically monitor data quality with every analysis by validate data volume and patterns against known schema and constraints. We’ll proactively notify you about any potential data issues on every chart before you even ask the questions.
Data Dictionary is a critical part of a successful analytics practice and data-driven culture. Unfortunately, most organizations use spreadsheets to keep track of the definitions of their data, which is never enough and often causes more confusion and pains.
Kubit's Data Dictionary not only tracks all the metadata definitions around your data, but also their change histories (revisions) and relationships to others. That means anytime you use data, information based on accurate references is only a click away.
Maintain a team calendar to share important events like new releases, outages, marketing campaigns, or data quality incidents. Whenever a chart is displayed, these events can be overlaid to quickly identify cause and effect.