How do I know if a piece of data is really useful for my business?
A piece of data is useful if it helps make a decision, confirm a hypothesis, or detect an opportunity for improvement.
What mistakes should I avoid when starting to measure or collect business data?
The most common mistake is wanting to measure too many things without knowing why.
How often should I review my business data?
It depends on the type of activity. For some data, a monthly or quarterly review is sufficient.
Do I need a complex tool to work with data?
Not necessarily. A well-organized spreadsheet, reports from an online store, or a weekly log
What data should an SME start collecting?
The most advisable approach is to start with the data that helps make frequent decisions: sales, customers, costs, digital channels, or periods of higher and lower activity. It is not about measuring everything, but about identifying which information can improve the daily management of the business. In this way, data becomes a practical tool to […]
Will AI replace jobs in my company?
It is the most frequently asked question and also the most nuanced one. AI automates tasks, not complete profiles. In practice, the most common outcome in an SME
How much does it cost to implement AI in a small business?
The cost varies greatly depending on the approach. There are AI tools accessible from just a few euros per month that can deliver immediate value
What types of tasks can AI take on in an SME?
There is a wide and very practical range: drafting or summarising documents, sorting emails, answering frequently asked questions
Do I need a lot of data to start using AI?
Not a lot, but it does need to be useful and well organised. AI works best when it relies on real business information
Where should an SME start when it wants to implement AI?
With the problem, not the technology. Before choosing any tool, it is worth identifying which tasks consume too much time
