Operations and key indicators

That serve as an alarm to make decisions, as well as identifying what objectives we want to set. Understand in detail the processes in which data is supported. We must identify whether in the normal development of my processes, the data collection is sufficiently representative since the way in which we capture the data can lead us to different readings of the same data, which is why this point is important, so that when it comes to by analyzing it, we know how to identify possible sources of deviations. Identify responsibilities . We must define who should decide on the variations that are displayed, who has the power to act at each point in the process and how they can influence. In addition, an ecosystem must be generated that encourages curiosity and critical.



Thinking in general and that related to data in particular. Ensure data quality . It is necessary that the data that is observed reflects reality, does not contain errors or anomalies, is understandable and understood by everyone and is reliable. Only then can we make decisions based on it, because if we stop believing in the data, the Bank User Number Data cycle begins again. . At this point something comes into play that we will talk about later and that is establishing data governance . Facilitate access to data and ensure that systems respond to needs . Technology here is just the tool to achieve the purpose, which helps and facilitates people to get involved and take responsibility for the results, as well as chasing the right data. What do we want to measure? It is important to design what we are going to want to obtain as a final product, that is, what key indicators for decision making we are going to need and.







For that we must first ask ourselves the right questions and have the different departments work together to define the data strategy. . At this point, we propose three phases to design the indicators that will be part of the final scorecard: at this point it is interesting to emphasize that the systems do not come first, if so, we run the risk of not adapting to the needs of what we are looking for, and ending up stopping using the data, returning to the starting point. We must understand that the first thing is to draw the objective, answering the question: why do we want to measure this or that? Then we will see what tool we use to achieve our objective. The importance of selecting kpis this generates an inventory of necessary indicators with an objective and description of what we want to achieve from which to design our system of indicators , the structure with which each department.