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Logical Data Warehousing Validations

There are 3 logical data warehousing validations that should always be conducted so that the quality of data can be assured in terms of not having duplicates in the tables, not having nulls or/and empty strings and not violating the referential integrity in the data warehouse.

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Why is Big Data so important for my Organization?

Given that today we all generate and deal with data on a constant basis, what impact would these companies have, as a result of this flood of information, without a set of tools that would turn this huge amount of data into insights?

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Marketing Analytics – An asset for your business

Marketing insights provided through Analytics allow the decision-making process to be based on a systematic approach to exploit data that helps managers to increase the efficiency of Marketing decisions.

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Scaling out with Integration Services in SQL Server

Taking into account the present and future function of the software, it must be endowed with the most diverse characteristics of flexibility, sustainability and functionality. But sometimes a peculiarity is simply left to chance - Scalability. This is the feature that will be addressed throughout the article.

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Artificial Intelligence and Marketing

The so-called technological buzzwords as Artificial Intelligence, Machine Learning and Internet of Things have attracted a lot of attention among Marketing professionals. Have you ever thought about how Artificial Intelligence and Marketing are nowadays walking side-by-side?

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How to increase business performance through digitalization processes

Technology does not only affect the products or services that the company sells and how it sells them, but also all the internal processes of the organization. The digitalization of processes is nowadays a theme that presents new challenges and opportunities to companies regardless the sector of activity.

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How to construct Advanced Analytics?

Advanced Analytics represent the new era in Business Intelligence & Analytics in organizations. They are a fundamental complement to the traditional analysis, and allow a more preventive or predictive management of the organization.

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