A User-centric Taxonomy for Multidimensional Data Projection Tasks

2015 ◽  
Author(s):  
Ronak Etemadpour ◽  
Lars Linsen ◽  
Christopher Crick ◽  
Angus Forbes
Keyword(s):  
Multidimensional Data ◽  
User Centric

An Envisioned Approach for Modeling and Supporting User-Centric Query Activities on Data Warehouses

2013 ◽  
Vol 9 (2) ◽  
pp. 89-109 ◽  
Author(s):  
Marie-Aude Aufaure ◽  
Alfredo Cuzzocrea ◽  
Cécile Favre ◽  
Patrick Marcel ◽  
Rokia Missaoui
Keyword(s):  
Data Mining ◽  
Knowledge Management ◽  
Information Retrieval ◽  
Query Processing ◽  
Data Warehouse ◽  
Multidimensional Data ◽  
Data Warehouses ◽  
Cooperative Query Answering ◽  
User Centric ◽  
Use Of Knowledge

In this vision paper, the authors discuss models and techniques for integrating, processing and querying data, information and knowledge within data warehouses in a user-centric manner. The user-centric emphasis allows us to achieve a number of clear advantages with respect to classical data warehouse architectures, whose most relevant ones are the following: (i) a unified and meaningful representation of multidimensional data and knowledge patterns throughout the data warehouse layers (i.e., loading, storage, metadata, etc); (ii) advanced query mechanisms and guidance that are capable of extracting targeted information and knowledge by means of innovative information retrieval and data mining techniques. Following this main framework, the authors first outline the importance of knowledge representation and management in data warehouses, where knowledge is expressed by existing ontology or patterns discovered from data. Then, the authors propose a user-centric architecture for OLAP query processing, which is the typical applicative interface to data warehouse systems. Finally, the authors propose insights towards cooperative query answering that make use of knowledge management principles and exploit the peculiarities of data warehouses (e.g., multidimensionality, multi-resolution, and so forth).

Speeding-Up Innovation with Business Hackathons

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Myrna FLORES ◽  
Matic GOLOB ◽  
Doroteja MAKLIN ◽  
Christopher TUCCI
Keyword(s):  
United Kingdom ◽  
Open Innovation ◽  
Entrepreneurial Ecosystems ◽  
The United Kingdom ◽  
Short Period ◽  
User Centric ◽  
Specific Challenge ◽  
Innovation Outcomes ◽  
The Way

In recent years, the way organizations innovate and develop new solutions has changed considerably. Moving from ‘behind the closed doors’ style of innovating to open innovation where collaboration with outsiders is encouraged, organizations are in the pursuit of more effective ways to accelerate their innovation outcomes. As a result, organizations are establishing creative and entrepreneurial ecosystems, which not only empower employees but also involve many others to co-create new solutions. In this paper, we present a methodology for organizing hackathons, i.e. competition-based events where small teams work over a short period of time to ideate, design, prototype and test their ideas following a user-centric approach to solve a specific challenge. This paper also provides insights into two different hackathons organized in the United Kingdom, and Mexico, as well as a series of 5 hackathons organized in Argentina, Mexico, Switzerland, United Kingdom and in Senegal.

A design contribution to the entrepreneurial experience

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Juan David ROLDAN ACEVEDO ◽  
Ida TELALBASIC
Keyword(s):  
Product Development ◽  
Qualitative Analysis ◽  
Design Research ◽  
Recent Literature ◽  
Early Stage ◽  
Entrepreneurial Activity ◽  
Value Proposition ◽  
Structured Interviews ◽  
User Centric ◽  
Constant Growth

In recent history, different design approaches have been entering fields like management and strategy to improve product development and service delivery. Specifically, entrepreneurship has adopted a user-centric mindset in methodologies like the business canvas model and the value proposition canvas which increases the awareness of the users’ needs when developing solutions. What happens when a service design approach is used to understand the entrepreneurs’ experience through the creation of their startups? Recent literature suggests that entrepreneurial activity and success is conditioned by their local entrepreneurship ecosystem. This study investigates the Entrepreneurship Ecosystem of Medellín, Colombia - an ecosystem in constant growth but that lacks qualitative analysis. The sample consists of 12 entrepreneurs in early-stage phase. The data was gathered with two design research methods: Cultural Probes and Semi-structured interviews. The analysis of the information collected facilitated the development of 4 insights about the entrepreneurs and an experience map to visualise and interpret their journey to create a startup. The results of this study reflected the implications of the ecosystem, the explanation of the users’ perceptions and awareness and propose a set of ideas to the local government to improve the experience of undertaking a startup in Medellín.

User- Centric Development. Version 01.00.04

1994 ◽  
Author(s):  
Christine Haapala ◽  
James Kirby ◽  
Jr
Keyword(s):  
User Centric

Recommendations for deploying multidimensio

2017 ◽  
Vol 11 (1) ◽  
pp. 68-80
Author(s):  
E. E. Akimkina
Keyword(s):  
Comparative Analysis ◽  
Management System ◽  
Analytical Data ◽  
Enterprise Management ◽  
Multidimensional Data ◽  
Dimensional Approach ◽  
Process Data ◽  
Modeling Systems ◽  
Enterprise Management System ◽  
Practical Recommendations

A comparative analysis of different approaches to analytical data and shows that the most ample opportunities has a multi-dimensional approach, implemented with the help of OLAP technology. Presented multidimensional OLAP-cube model with the measurements for the analysis and processing of process data. Practical recommendations for the deployment of a multidimensional data modeling systems with regard to their integration into existing enterprise management system.

Structuring and visualization of indicators in multidimensional data cubes

2018 ◽  
pp. 79-87
Author(s):  
E. E. Akimkina
Keyword(s):  
Decision Making ◽  
Data Processing ◽  
Data Management ◽  
Multidimensional Data ◽  
End User ◽  
Processing Technologies ◽  
Data Cubes ◽  
Multidimensional Visualization ◽  
Multidimensional Data Cubes ◽  
Practical Recommendations

The problems of structuring of indicators in multidimensional data cubes with their subsequent processing with the help of end-user tools providing multidimensional visualization and data management are analyzed; the possibilities of multidimensional data processing technologies for managing and supporting decision making at a design and technological enterprise are shown; practical recommendations on the use of domestic computer environments for the structuring and visualization of multidimensional data cubes are given.

Resource Allocation in Cloud using Multi Bidding Model with User Centric Behavior Analysis

2020 ◽  
Vol 13 (5) ◽  
pp. 1008-1019
Author(s):  
N. Vijayaraj ◽  
T. Senthil Murugan
Keyword(s):  
Resource Allocation ◽  
Behavior Analysis ◽  
User Behavior ◽  
Low Cost ◽  
Cloud Services ◽  
Online Auction ◽  
Analysis Model ◽  
Efficient Resource ◽  
User Centric ◽  
Cloud Resources

Background: Number of resource allocation and bidding schemes had been enormously arrived for on demand supply scheme of cloud services. But accessing and presenting the Cloud services depending on the reputation would not produce fair result in cloud computing. Since the cloud users not only looking for the efficient services but in major they look towards the cost. So here there is a way of introducing the bidding option system that includes efficient user centric behavior analysis model to render the cloud services and resource allocation with low cost. Objective: The allocation of resources is not flexible and dynamic for the users in the recent days. This gave me the key idea and generated as a problem statement for my proposed work. Methods: An online auction framework that ensures multi bidding mechanism which utilizes user centric behavioral analysis to produce the efficient and reliable usage of cloud resources according to the user choice. Results: we implement Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis. Thus the algorithm is implemented and system is designed in such a way to provide better allocation of cloud resources which ensures bidding and user behavior. Conclusion: Thus the algorithm Efficient Resource Allocation using Multi Bidding Model with User Centric Behavior Analysis is implemented & system is designed in such a way to provide better allocation of cloud resources which ensures bidding, user behavior. The user bid data is trained accordingly such that to produce efficient resource utilization. Further the work can be taken towards data analytics and prediction of user behavior while allocating the cloud resources.

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