Managing Big Data

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

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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Analysis, measurement and visualization Triad Business Intelligence

Analysis, measurement and visualization Triad Business Intelligence

Certainly, no one is aware that the role of BI is ultimately support decision-making in the organizational context of a business, corporation or institution. An ultimate goal is widely known consequences: minimizing risks, improving competitiveness, opportunity … and that required to cover, at the same time, so extensive and complex…

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Business Intelligence for all democratization announced

Business Intelligence for all democratization announced

Democratization of Business Intelligence and analytics business is today a verifiable fact. The adoption of BI systems by small and medium enterprises, and the implementation of own business intelligence and other human endeavors fields (science, education, public administration …) tools are proof of how Business Intelligence, in recent times, he…

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Data Integration

Data Integration

On a day to day organizations are automating processes and recording data separately, but facing the analytic world is necessary to acquire a single view. This is where comes in data integration, one of the keys to the data management Data Warehouse projects , which does correlate the different areas…

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Master Data Management

Master Data Management

Speaking of the keys to managing data in data warehouse projects is to do Master Data Management (MDM). The MDM is a key step in the integration processes to meet the need of unifying, essential in the analytic world. We can not forget that, ultimately, they are collecting data from…

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The impact of quality of data in environments Business Intelligence

The impact of quality of data in environments Business Intelligence

The importance of data on projects Business Intelligence (BI) exceeds any consideration we can do about other key elements in business intelligence environments. His role, more than important, it is absolutely essential: the calve on data of any successful BI project lies. However, although this remains so today the number…

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Business intelligence, open your eyes

Business intelligence, open your eyes

Business Intelligence in the business today There are four main challenges that the systems of business intelligence must face today. 1. High costs : BI has evolved and expanded. Any business has its tool of Business Intelligence, which carries an expense associated with the cost of technology, maintenance and the…

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Data traceability

Data traceability

In these times, with increasing frequency, it is necessary to know the trace ability of the data. The reasons that push companies to have this need when planning the management of data in data warehouse projects are not only prevention or to make easy troubleshooting simplify its correction, but also…

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