Kundenorientierung bei der ARAG — Unterstützung durch einen Operational Data Store

2003 ◽  
pp. 341-356
Author(s):  
Wolfgang Bartel ◽  
Ute Kammer ◽  
Josef Rupprecht
Keyword(s):  
Data Store ◽  
Operational Data

Capturing Data from Customers

2011 ◽  
pp. 169-190 ◽  
Author(s):  
Minwir Al-Shammari
Keyword(s):  
Supply Chain ◽  
Data Acquisition ◽  
Business Model ◽  
Quality Cost ◽  
Customer Data ◽  
Customer Information ◽  
Data Store ◽  
New Business ◽  
Strategic Element ◽  
Operational Data

The customer is a strategic element in a company’s downstream supply chain. In the new economy, customers, whether they are individual consumers or businesses, are becoming demanding, powerful, and more knowledgeable than before. The pressure of customers for more improvements (e.g. in quality, cost, and delivery), has been intensified by globalization of marketplaces and the emergence of new business philosophies and models (e.g. click and mortar direct-sale business model). Customer data is the key to successful relationships with customers. Data acquisition is the process to capture, integrate, cleanse, and load customer data, from various customer touchpoints, into the operational data store (ODS) and DW in order to create customer information and knowledge. This chapter intends to examine the concepts, issues, and trends related to capturing customer data and routing it to, or sharing it with, people in other units within the organization.

scholarly journals BUSINESS INTELLIGENCE MODELLING FOR GRADUATE ENTREPRENEUR PROGRAMME

2014 ◽  
Author(s):  
Muhamad Shahbani Abu Bakar ◽  
Azman Ta’a
Keyword(s):  
Business Intelligence ◽  
Information Needs ◽  
Accurate Information ◽  
Application Development ◽  
Meaningful Information ◽  
Rapid Application Development ◽  
Data Store ◽  
Using Data ◽  
Ministry Of Higher Education ◽  
Operational Data

Business Intelligence (BI), which is the process of collecting, analysing, and transforming data using Data Warehouse (DW) is seen as one of the growing approaches to provide meaningful information for the Malaysian Ministry of Higher Education (MOHE). MOHE is responsible for managing various activities to encourage graduate entrepreneurs to venture into businesses and ensure that the country has many successful entrepreneurs. Therefore, systematic and accurate information needs to be available for planning, implementing, and monitoring entrepreneurs’ performances. This paper proposes the modelling and designing of the graduate entrepreneur profi le system – Intelligent Profi le Analysis Graduate Entrepreneur (iPAGE) using the BI approach. Two main methodologies were used, namely the Requirements Centric Operational Data Store (ReCODS) and the Rapid Application Development (RAD) to model and design this system. The iPAGE was validated and evaluated by users, entrepreneurs’ personnel and DW experts. Indeed, the approach will be used to benchmark the development of an entrepreneurial information system in the future.  

The Operational Data Store

2015 ◽  
pp. 121-126 ◽  
Author(s):  
W.H. Inmon ◽  
Daniel Linstedt
Keyword(s):  
Data Store ◽  
Operational Data

Use of cold tolerant eucalyptus species as a partial replacement for southern mixed hardwoods

TAPPI Journal ◽  
2012 ◽  
Vol 11 (7) ◽  
pp. 29-35 ◽  
Author(s):  
PETER W. HART ◽  
DALE E. NUTTER
Keyword(s):  
Potential Method ◽  
The United States ◽  
Partial Replacement ◽  
Growth Time ◽  
Eucalyptus Species ◽  
Cold Tolerant ◽  
Hardwood Pulp ◽  
Time Required ◽  
The Cost ◽  
Operational Data

During the last several years, the increasing cost and decreasing availability of mixed southern hardwoods have resulted in financial and production difficulties for southern U.S. mills that use a significant percentage of hardwood kraft pulp. Traditionally, in the United States, hardwoods are not plantation grown because of the growth time required to produce a quality tree suitable for pulping. One potential method of mitigating the cost and supply issues associated with the use of native hardwoods is to grow eucalyptus in plantations for the sole purpose of producing hardwood pulp. However, most of the eucalyptus species used in pulping elsewhere in the world are not capable of surviving in the southern U.S. climate. This study examines the potential of seven different cold-tolerant eucalyptus species to be used as replacements for, or supplements to, mixed southern hardwoods. The laboratory pulping and bleaching aspects of these seven species are discussed, along with pertinent mill operational data. Selected mill trial data also are reviewed.

Analytical Study on Big Data

2018 ◽  
Vol 8 (5) ◽  
pp. 75
Author(s):  
Vivek Raich ◽  
Pankaj Maurya
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Decision Maker ◽  
Analytical Study ◽  
Large Data ◽  
Decision Makers ◽  
Continuous Increase ◽  
Analytic Methods ◽  
Data Store ◽  
Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

Sign in / Sign up

Export Citation Format

Share Document