Preprint Data Descriptor Version 1 Preserved in Portico This version is not peer-reviewed

Data-Driven Decision Making

Version 1 : Received: 16 March 2021 / Approved: 18 March 2021 / Online: 18 March 2021 (10:47:23 CET)

How to cite: Gutiérrez, H.D.R.; Bobadilla, J.A.M.; Diaz, J.O.; Cleves, J.E.P. Data-Driven Decision Making. Preprints 2021, 2021030468 (doi: 10.20944/preprints202103.0468.v1). Gutiérrez, H.D.R.; Bobadilla, J.A.M.; Diaz, J.O.; Cleves, J.E.P. Data-Driven Decision Making. Preprints 2021, 2021030468 (doi: 10.20944/preprints202103.0468.v1).

Abstract

Data is the most valuable asset of a company or organisation nowadays, for the management of such data there are several techniques used for the storage and analysis of these data, if the organisation chooses wrongly among the alternatives it could face a very costly problem. Based on the above information we will study a very important issue today in the business world, with the global economic growth has also grown the world of technology and therefore organizations or companies also need to move forward with firm and fast pace how business evolves; Its weaknesses, strengths and the need to always be at the forefront of technological tools we will dive into the subject of business intelligence or also known as Business Intelligence (BI), Datawarehouse and Data Mining which is nothing more than a group of applications and tools that allow you to extract, transform and load some data to get to get information and knowledge in order to make a quick decision, accurate and efficient in the organization to achieve the objectives outlined. Due to the fact that there are still companies or organisations that make blind decisions in their customer or strategic processes. In order to solve this problem we rely on data mining as an alternative to minimise risks, which can lead to major and valuable losses within an organisation. In the case of a private company where data mining is applied to study patterns of customer behaviour on their own parameters of location, consumption, etc.. And third party data. The search for information is profitable for the business administration. Data mining is applied as a tool for the development of marketing tactics in competitive production and industrial sectors. This technology attempts to help perceive the attachment of databases. Data mining works on a preferential level looking for patterns, behaviours, orders or groupings that can create a model that allows us to better understand the concept and help in decision making so organisations rely on different systems such as CRM, ERP and many others, but to move from just information to generate business intelligence must be centralised in a single place where you can run data analysis of all types to discover trends that help decision making that place can be mainly a Lake or a Warehouse.

Keywords

business intelligence

Subject

MATHEMATICS & COMPUTER SCIENCE, Algebra & Number Theory

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