The importance of integration in data and information management

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Integrating multiple data and information helps you improve your management for accuracy and consistency and manage it strategically to achieve a higher performance and competitiveness.


Despite this, in practice, it is possible to cross-check your own data with external information without the need to integrate them. This is the case of projects carried out by financial entities to locate defaulters O, as an example, those others who chase the insurance fraud making illegitimate profits.

In this type of project, we proceed to cross data external sources from various sources, but without integrating them with those of the organization (videos, photos, texts published on social networks, forums or blogs, public data such as those published in the BOE, among others), with the organization's data . Thus, it is feasible to gain operational efficiency and profitability.

Integration, key to business intelligence

The data integration which is carried out by ETL processes designed from a series of rules which will be established according to the needs and philosophy of the company. It is this way, carrying out quality and coherence processes of the different types of data that we have, how the integration of the information enables us to obtain a strategic advantage This is derived from that greater control of the information so necessary for its optimization and administration at the service of the company's objectives., also guaranteeing compliance with current regulations.

The integration, therefore, enables us to organize, centralize and protect data, transforming information into reliable data, suitable for use in process and decision management for product improvement, services and, in summary, in order to be able make better decisions. This is how we turn data into a strategic asset for the organization.

Security in data and information management

In the current context, as it is well known, the data may come from different sources, be structured data, semi-structured or unstructured, and stored in virtual environments, relational databases or in a Hadoop cluster, Let's say.

In this aspect, the integration of different systems containing heterogeneous data and information enables protect data more effectively, improve security and ensure compliance with current law.

At the same time of determine a set of rules For information governance, data integration and infrastructure to use, also pay attention safety Y, in this aspect, a integrated information help to greater security.

When information is exported to the cloud, data security is a priority requirement, since they exist sensitive information (personal data and other data of a critical nature) that it is mandatory to upload them masked or encrypted, according to the needs and the type of data in question. Opposite case, we would violate the regulations.

Image source: Stuart Hundred /

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