Facts Should Consider When Selecting A Data Warehouse

Big data

In previous article which is raised in general terms a data warehouse or data warehouse, and identified some of the most important benefits that companies perceive investment when implementing a central data system.┬áIn this blog, we will identify five factors that the firm should consider when selecting a system of…

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Deployment of Mobile Intelligence solution

This phase is when he performs App deployment of Mobile Intelligence in the production environment. Keep in mind that Lantares, to avoid inconvenience to the customer, prevent errors and avoid risks, all the construction phase has been done in a non-production environment, good development environment, either a test environment, unused…

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Five Tips to deploy Mobile Intelligence

The mobility applied to information access and analysis of data pertaining to BI facilitates better decisions in less time, which results in more efficient processes and higher productivity through the ability to access information from site anytime. To incorporate a Mobile Intelligence solution and take competitive advantage of a more…

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Six Keys to put a solution in place Mobile Intelligence

Reports and Dashboards : initial phase of construction of the application. First constructed data models (Data Warehouse, Datamart, customer tables …) according to the pattern of need for information and their corresponding loading processes. You need to know what data is accessed, what’s available and where they are. The next…

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Managing Big Data

Big Data management is the practice that makes it possible for the organization, management and governance of large volumes of data, both structured and unstructured. If effective management is reached Big Data you can: Ensure a high level of data quality. Making them accessible for business intelligence. Having them always…

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Data management strategy, needs and business rules

To define a data strategy must define a number of functions that make possible its joint around the business rules and the specific needs of the organization. The nine suggested in previous posts refer to management: Data architecture, analysis and design. Database. Data security. Data Quality. Master data and integration….

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