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Cases · Archive · Enterprise · 2023
Analytics for business with Yandex Cloud
Agency-era case study (2023).
This case was first published on the previous humanswith.ai site between 2019 and 2025 — before the platform pivot. Performance, SEO, CRM, content, or growth work from that era. Modern AI-search cases (with per-engine Hermes data) live at /cases.
Project passport
Tracking Key Metrics – DataLens Dashboard Visualisations
Key outcomes
- Reduced team workload for routine reporting
- Real-time tracking of key metrics
- KPI performance monitoring
- Lower operational costs
Section 01
End-to-End Analytics for "Business Drive Academy" Project
Section 02
Challenges Faced During the Project
Client doubts
Previous team failed to set up analytics, which caused distrust of new solutions.
Rejection of foreign services
Client avoided foreign solutions due to risks of sanctions and possible blockages.
Rejection of paid services
Reluctance to use additional paid tools in the data transmission chain.
Yandex.Metrica limitations
Raw data transfer from Yandex.Metrica and AppMetrica to ClickHouse was not supported.
Section 03
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Section 04
Key Project Stages
Stage 1: Preparation Phase
Platform identification (Yandex Cloud)
Customer requirements analysis
Selection of tools (Yandex.Metrica, AppMetrica, ClickHouse, DataLens)
Stage 2. Setting up data collection
2.1. Implementing web analytics
Installed Yandex.Metrica on 2 websites:
Welcome landing page
Main platform with courses
2.2. Setting up mobile analytics
- Integrated AppMetrica tracking into iOS and Android apps
2.3. Configuring conversion tracking in Yandex.Metrica
Transitions to introductory lessons
Transitions to registration
Platform registration
Lesson views on the platform
Stage 3. Data integration and processing
3.1. Setting up user event parameter transmission
Each user registered on the platform is assigned a unique user ID (UserID) ➡ We pass these to Yandex.Metrica as visit parameters ➡ Link them with Yandex.Metrica's ClientID
3.2. Organising data storage
- Created a database using Managed Service for ClickHouse within Yandex Cloud
3.3. Automating data transfer
Developed Python scripts for:
Advertising costs (Yandex.Direct, VK)
Data from Yandex.Metrica
Data from AppMetrica
Stage 4. Infrastructure setup
Creating a virtual machine via Compute Cloud
Uploading data transfer scripts and configuring their regular execution
Stage 5. Data visualisation
Configured data visualisation in DataLens so the client receives the final analysis results in the form of a dashboard.
During the project, we created:
Datasets and data merging at the dataset level
Connection to ClickHouse
Charts
Dashboards
Section 05
Key results
The team implemented a secure analytics solution for the client on Yandex Cloud. A unified dashboard was created, reports were automated, and control over KPIs and advertising costs was established — all without the use of foreign services.
Information security compliant with Federal Law 152 (highest protection level — SU-1)
Data retention ensured through automatic backups and replication
Consolidation of all company data for analysis of any complexity and depth
Hosting of websites and web services in the cloud for maximum scalability and performance speed
Maximum visualisation speed thanks to built-in integration with Yandex's BI system, DataLens
End of archived case
Want a modern case? Hermes data, not Google Analytics.
The modern cases at /cases use a different proof model: per-engine AI mention rate, citation tracking across the answer engines, and delta reports after every scan. Different category, different proof, different era.