Applications And Devices Communicate

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Complex analytics techniques tend to be expensive, time consuming, and difficult to understand at all levels of the organization. By contrast, driver-based decision models help companies simplify and align strategy, objectives, and operations; reduce administrative costs and speed up the decision-making process. A driver-based approach starts from the strategic objectives of the company to, based on them, identify.

Metrics that allow measuring progress in meeting these objectives. Finally, a hierarchical chain of causes and effects (or drivers) that affect the identified metrics must be developed. As Peter Drucker said, only what can be measured moible number data can be managed and only what can be measured can be managed. But far from being something theoretical, there are many companies in all sectors (from retail to construction) that are promoting the implementation of these decision.



Models in their organizations. At Seguros Falabella, for example, data and metrics are the main drivers when making decisions and understanding customer behavior in depth and thus being able to constantly improve their experience through continuous improvement. But retrieving and storing customer data is only the first part (and perhaps the easiest), the complex work comes when processing, analyzing and retrieving actionable "insights", which allow defining a series of hypotheses.