
How to prepare your market data for import
Before uploading data into Sloc Concentrate, it’s important to structure your file correctly. A well-prepared dataset ensures your markets are built accurately and avoids issues during import.
File requirements
Your file must meet the following requirements:
Accepted file types: .csv or .xlsx
Maximum file size: 5MB
Maximum number of rows: depends on your subscription (shown in product)
Data must be in a single sheet
Table must start in the top-left cell (A1)
Column headers must be in the first row
Table structure
Sloc Concentrate expects your data in a tidy, long format.
This means:
Each row represents one observation. For example, a company’s value within a specific geographic and product market
Each column represents one field. For example, geography level, product level, company name, or metric
Correct format
Your dataset should look like:
Geography columns (e.g. Country, Region)
Product columns (e.g. Category, Sub-category)
Company column
One or more metric columns (e.g. Revenue, Volume)
Avoid wide (pivoted) formats
Do not structure your data like this:
Companies as columns
Markets spread across columns
Instead, convert it into long format before uploading.
Handling totals and aggregates
If your dataset includes totals (e.g. “Total UK”, “All products”):
Keep them in the file
You will be able to flag them as the next step of the upload process
This ensures:
No double counting
More accurate concentration calculations
Data consistency
Make sure your data is clean and consistent:
Use the same company names throughout
Keep formats consistent (e.g. avoid mixing “1,200” and “1.2k”)
Avoid extra text, notes, or formatting in the table
What to avoid
Do not include:
Multiple sheets
Extra tables in the same sheet
Titles or notes above the table
Totals scattered within the dataset
Before you upload
Before uploading, quickly check:
Table starts at A1
Headers are in row 1
Data is in long format
No unnecessary columns or formatting
Once ready, you can proceed to upload and map your data in Sloc Concentrate.