Shares the functionalities of i) building analysis models and simulations to create scenarios, ii) understand realities and/or iii) predict future states. Business analytics includes data mining, predictive analytics, applied analytics and statistics, and is delivered as an application suitable for a business user. These analytics solutions often come with prebuilt industry content that is targeted at an industry business process (for example, claims, underwriting or a specific regulatory requirement).
Based on Gartner
http://www.gartner.com/it-glossary/business-analytics/
The following implementation is an example on how this specific Architecture Building Block (ABB) can be instantiated as a Solution Building Block (SBB):
KNIME®
KNIME® Analytics Platform is the leading open solution for data-driven innovation, helping discovering the potential hidden in data, mine for fresh insights, or predict new futures. This enterprise-grade, open source platform is scalable. KNIME Analytics Platform provides to data scientists more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and a wide choice of advanced algorithms.
• Data Blending: simple text files, databases, documents, images, networks, and even Hadoop-based data can all be combined within the same visual workflow.
• Tool Blending: integration of more than a dozen tools, including legacy scripting/code, allows expertise to be reused, graphically documented, and shared among data scientists.
• Visual: easy-to-learn graphical interface means that coding is optional and work is visually documented.
https://www.knime.com/knime-server
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dct:type | eira:BusinessAnalyticsService |
dct:modified | 2023-05-25 |
eira:ID | ABB46 |
adms:status | deprecated |