Practical logic implies that resources need to be kept in a place where they will be instantly available – that’s why all the company vehicles are left in the car park or garage while all the food is at the cafeteria. Unfortunately, when it comes to data many small enterprises fail to apply this logic and that predictably leads to a diminished capacity to make well-informed, data-based decisions. Instead, decision makers too frequently have to rely on ‘gut feeling’ or ‘established practices’, even if they would rather have real insights on the matter.
Does this sound familiar?
In this day and age, every organisation collects data from many different sources. Collection is not difficult and the sources are abundant, so merging this ocean of information into an easily searchable collection represents the main challenge. Data aggregation is designed to overcome this issue in a very elegant manner – by defining rules and procedures that govern the entire data management process. In effect, Prestanda can ensure that all the data you regularly use, data you wish you had, and data you had no idea even existed is well-organised and just one click away.
Access to a unified database that is internally cohesive represents a huge business asset that can be monetised almost immediately. Accurate estimations of market conditions and a company’s own capacities are much easier to make when you have the right numbers at just the right moment. The ability to use data to drive business decisions also stimulates the adoption of a culture of accountability on all levels, as the outcomes of each decision or action can be reviewed at a later date.
What approach does Prestanda use to aggregate business data?
When it comes to data aggregation, it’s irrelevant which modern technologies you have or which software packages you use. This task is more about good organisation than about expenditure of resources. Consequently, our experts analyse the structure as well as the quality of incoming data streams and try to identify any information bottlenecks that might be restricting the flow of data through the company.
Any duplicate data is merged, while compatibility issues are resolved by transforming the problematic inputs into a more suitable format. Of course, priority is given to potentially impactful data, so performance indicators and intel on the competition are treated differently than the number of free spots in the parking lot. The final, fully integrated and aggregated data system is structured around business processes and supports them with real-time, on-demand insights.