Data Mining - Concepts and Techniques.

Industry 4.0

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A Break in the Clouds: Towards a Cloud Definition

In this Chapter, we imagine a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view.

Multiple criteria decision making

Dorothy Leonard-Barton warns readers upfront that her new book, "Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation," is not a quick read. Indeed it is not, though the author, a Harvard Business School professor, tries hard to soften a knot of strategy research with true-life examples from several technology companies. Unfortunately, business books tend to be like Arnold Schwarzenegger movies: the special effects and twists are a lot more important than the basic plot, which doesn't change much.

"Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation"

In the course of the evolution of management support towards corporate wide Business Intelligence infrastructures, the integration of components for handling unstructured data comes into focus. In this paper, three types of approaches for tackling the respective challenges are distinguished. The approaches are mapped to a three layer BI framework and discussed regarding challenges and business potential. The application of the framework is exemplified for the domains of Competitive Intelligence and Customer Relationship Management.

Management Support with Structured and Unstructured Data-An Integrated Business Intelligence Framework

Business Intelligence — Grundlagen und praktische Anwendungen

Business Intelligence (BI) deals with integrated approaches to management support. In many cases, the integrated infrastructures that are subject to BI have become complex, costly, and inflexible. A possible remedy for these issues might arise on the horizon with “Cloud Computing” concepts that promise new options for a net based sourcing of hardand software. Currently, there is still a dearth of concepts for defining, designing, and structuring a possible adaption of Cloud Computing to the domain of BI. This contribution combines results from the outsourcing and the BI literature and derives a framework for delineating “Cloud BI” approaches. This is the bases for the discussion of six possible scenarios – some of which within immediate reach today.

http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1143&context=pacis2010

Business Intelligence in the Cloud

Radio Frequency Identification" (RFID) and the related EPC standards promise to enable an automatic collection of supply chain data for optimization purposes. While extensive research has been done on applications for operational supply chain optimization, there is still a lack of insight into the requirements and benefits of further processing the data within integrated management support infrastructures (Business Intelligence infrastructures) that allow for sharing, integrating, and analyzing RFID data. This paper discusses respective scenarios which were elicited from a transcontinental retail supply chain case. It addresses data collection and integration on the one hand and the relevance of the enabled analyses on the other. The results indicate that the role of Business Intelligence components should not be underestimated when preparing a business case for RFID.

Combining RFID Technology and Business Intelligence for Supply Chain Optimization Scenarios for Retail Logistics

As with all information technologies, there is a necessity to determine the profitability of investments in Radio Frequency Identification (RFID) ex ante. A particularly important aspect is the cha...

https://link.springer.com/content/pdf/10.1057%2Fejis.2009.32.pdf

Henning Baars

Papers

Management Support with Structured and Unstructured Data-An Integrated Business Intelligence Framework

Business Intelligence — Grundlagen und praktische Anwendungen

Business Intelligence in the Cloud

Combining RFID Technology and Business Intelligence for Supply Chain Optimization Scenarios for Retail Logistics

Evaluation of RFID applications for logistics: a framework for identifying, forecasting and assessing benefits