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Self Service BI:
Self Service BI:

... • Regular speaker for TechNet, MSDN, Users Groups, Irish and UK Technology Conferences ...
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Obesity and Microbiome: Concepts and Contradictions

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... The SAP Business Information Warehouse has a central position among the mySAP solutions. Typical characteristics of the individual solutions are separate development, implementation, and maintenance of the components, and independent release cycles in the different areas.  BAPI and ALE technology ...
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... of mining may lead to interesting patterns and the “form” of the patterns or rules they would like to find. Thus, a good heuristic is to have the users specify such intuition or expectations as constraints to confine the search space. This strategy is known as constraint-based mining. ...
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Performance Measurement Using Data Envelopment Analysis: Evidence From the Banking System in Vietnam (1990-2010)

... decreased through time, differences between objective and original value became bigger, meaning the waste in the system became greater. This leads to a suggestion consistent with the literature that the efficiency (and thus, performance) of the Vietnamese banking sector is decreasing through time as ...
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... Previous two types of operations have many similar points with classical data warehouses. But this third operation is something unusual for data warehouses. The sales forecasting system allows users to modify future projections to simulate future scenarios, which means, data stored in the pre-comput ...
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... Abstract: Data warehousing and on-line analytical processing (OLAP) are decision support, which has increasingly become a focus of the database industry. Many marketable products and services are now available, and all of the principal database management system vendor now have offerings in these ar ...
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... A large number of programs related to “Big Data” have been started in colleges and universities around the world, more so in the US, in the last two to three years. Other than ‘Data Science’ they often go by names like: ‘Data Analytics’, ‘Big Data Analytics’, ‘Business Analytics’, ‘Data Mining and K ...
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... To do your job as a business analyst, you must access and blend data from many sources: internal data from spreadsheets and data warehouses, third-party data from external data providers, and cloud-based data from social media applications, Big Data stores, and other SaaS platforms. Typically, this ...
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... Database administrator must have understanding of: current hardware and software (operating system and networking) architectures and capabilities, data processing, database development life cycle, design and data modeling skills, managerial skills. ...
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Business intelligence

Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI technologies are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.BI can be used to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions include priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a more complete picture which, in effect, creates an ""intelligence"" that cannot be derived by any singular set of data.
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