Track History (TH) allows you to keep track of your data and organize it over long periods.
This way, you can create follow-ups and see the progression of the data that interests you.
⚠️ Note that on TH, nothing is imposed on you. Everything is customizable: groups, categories, values, events, and automation. Our goal is to meet all conceivable needs that an individual or business may encounter.
If you have a specific need, don't hesitate to tell us, we can help you set up your account.
On TH, your data can easily be classified to better target your searches. The organization of data is entirely up to you.
Group | Expenses | Sports Activity | Online Store | ||||||
Category | Rent | Electricity | Heating | Stretching | Strength Training | Core Stability | Visit | Shopping Cart | Purchase |
Value | Amount (€) | Repetition | Time (min) | Energy (kcal) | Amount incl. tax (€) | Amount excl. tax (€) | Stock (kg) |
Group | John's Budget | Chloé's Budget | ||||||
Category | Rent | Electricity | Heating | Rent | Electricity | Heating | ||
Value | Sum (€) | Sum (€) |
On TH, data entry is done through events.
A group defines both an objective and allows the study of your data to be compartmentalized.
A group is not linked to anything; it is the highest level in the hierarchy.
Groups can allow you to track several types of data that have nothing to do with each other.
You can very well have a 'Expenses' group and a 'Sports Activities' group to have multiple follow-ups on the same account.
Summary: group multiple objectives on the same account.
Groups also allow analyzing data from multiple different subjects using the same categories and values.
Summary: compare subjects on the same basis.
In any case, the group has an essential separation function that allows for multiple studies on the same TH account.
⚠️ Note that it is more advantageous to buy a group than to have two active accounts.
Categories allow each data to be classified.
1. In the case of multiple objectives, it is advisable to link your categories to a group to avoid mixing data that has nothing to do with each other.
2. In the case of multiple subjects, it is advisable to leave your categories 'floating' so that they can be used by any group.
This allows for filtering your data and making aggregations to ask yourself questions like:
Values allow quantifying data related to an event and associating it (or not) with a unit of measure (€ , kg)