We have developed the analytical processes for applications and sites since 2016. So we know that an ideal analytical process is the union of an infrastructure, analytical methods, and a workflow. It's the collaborative work of such subsystems:
- Events tracking
- DWH architecture and database design
- ETL infrastructure and process
- Data visualization tools and principles
- Decision-making process and skills
- Math for decision making
- Conclusions presentation and collection
Math, database design, and events tracking are advanced steps, whereas the decision-making process should be designed from the first day. But for efficient work, it's necessary to have all subsystems developed and coordinated toward common goals.
That is why we research how your entire analytical system works, label the inefficiencies, mistakes, weak and strong points. Based on these discoveries, we create the document "what is now and what should be", and developed a step-by-step plan how to move from the current stage to a better analytical system.
Such audit requires knowledge of product architecture, technologies, trends in data collection, data visualization, ab-testing, etc. That is why it's impossible to accomplish by a single analyst, but we can do it since we are a team of analytics, data visualization experts, technical writers, and analytics architects.