Examples of typical projects
How we usually structure the work on common tasks: what the situation looks like, what we do and what you get.
These are typical scenarios, not stories of specific clients. Scope and timing depend on your company and are agreed after the first conversation.
Example
Data quality audit for a retail chain
The situation
A retail chain with stores and an online shop. Sales figures in the POS, ERP and accounting do not match, and the team spends hours reconciling them before each management meeting.
What we do
- Pick the key reports: sales, margin and stock
- Trace each number from the report back to its source systems
- Check product and store references, receipts and returns
- Reconcile totals between POS, ERP and accounting
- Assess the business impact and rank the problems
What you get
- A map of problems with their priorities
- Agreed definitions of sales and margin
- Automated checks for the most critical data
- A remediation plan with named owners
Related service: Data Quality
Example
Management dashboards for a restaurant group
The situation
A group with several brands and branches. Data sits in the POS, delivery apps and accounting, and the owner sees the real results only at the end of the month.
What we do
- Connect the POS, delivery apps and accounting
- Agree on one set of metrics: revenue, average check, food cost and delivery commissions
- Build data marts for reporting
- Create dashboards for the owner, brands and branches
- Show managers how to use the reports in daily work
What you get
- A regular view of every branch and brand
- One set of numbers for everyone
- Channels compared after commissions
- Managers who can answer their own questions
Related service: Analytics & BI
Example
Data warehouse for a distributor
The situation
A distributor with an ERP, a warehouse system, a CRM and many spreadsheets. Reports are assembled by hand, take days and differ depending on who prepared them.
What we do
- Map the sources and design the target architecture
- Build the data warehouse and ETL/ELT pipelines
- Unify product and customer references
- Add quality checks and monitoring to the pipelines
- Connect BI reports to the warehouse
What you get
- One source of data for reporting
- Reports that update automatically
- Documented pipelines your team can maintain
- A foundation for forecasting and ML
Related service: Data Engineering
Free 30-minute data review
Tell us about your task. In a 30-minute online call we will find where your data breaks down and what to fix first. Free and with no obligation.
