Data Warehouses and Business Intelligence have become popular fields of research in recent years. Unfortunately, in daily practice many Data Warehouse and Business Intelligence solutions still fail to help organizations make better decisions and increase their profitability, due to intransparent complexities and project interdependencies. In addition, emerging application domains such as Mobile Learning & Analytics heavily depend on a well-structured data foundation with a longitudinally prepared architecture. Therefore, this research presents the Data Warehouse Capability Maturity Model (DWCMM) which encompasses both technical and organizational aspects involved in developing a Data Warehouse environment. The DWCMM can be used to help orga...
With the proliferation of the data warehouses as supportive decision making tools, organizations are...
Today, data science presents immense opportunities in attaining competitive advantage, generating bu...
Background and purpose: As a consequence of the growing power of data, there is a need for companies...
Purpose The purpose of this paper is to investigate social and technical drivers of data science pra...
© 2021 The Society of Manufacturing EngineersToday, data science presents immense opportunities by t...
Traditionally, data warehouses (DW) have been counted among the most powerful problem-solving tools ...
Despite the rising importance of advanced data analytics, there is limited guidance on how organizat...
These Increased organizational dependence on data warehouse (DW) systems drives management attention...
A thorough update to the industry standard for designing, developing, and deploying data warehouse a...
Many of today’s organizations are striving to find ways to make faster and better decisions about th...
Data warehouse is the design and implementation of process, tools to manage and deliver entire, time...
After decades of mergers and acquisitions and successive technology trends such as CRM, ERP and DW, ...
PhD (Computer Science and Information Systems), North-West University, Potchefstroom CampusDetermini...
International audienceData warehouse architectural choices and optimization techniques are critical ...
A particular interest has been observed in the Data Warehouse (DW) technology by corporations aiming...
With the proliferation of the data warehouses as supportive decision making tools, organizations are...
Today, data science presents immense opportunities in attaining competitive advantage, generating bu...
Background and purpose: As a consequence of the growing power of data, there is a need for companies...
Purpose The purpose of this paper is to investigate social and technical drivers of data science pra...
© 2021 The Society of Manufacturing EngineersToday, data science presents immense opportunities by t...
Traditionally, data warehouses (DW) have been counted among the most powerful problem-solving tools ...
Despite the rising importance of advanced data analytics, there is limited guidance on how organizat...
These Increased organizational dependence on data warehouse (DW) systems drives management attention...
A thorough update to the industry standard for designing, developing, and deploying data warehouse a...
Many of today’s organizations are striving to find ways to make faster and better decisions about th...
Data warehouse is the design and implementation of process, tools to manage and deliver entire, time...
After decades of mergers and acquisitions and successive technology trends such as CRM, ERP and DW, ...
PhD (Computer Science and Information Systems), North-West University, Potchefstroom CampusDetermini...
International audienceData warehouse architectural choices and optimization techniques are critical ...
A particular interest has been observed in the Data Warehouse (DW) technology by corporations aiming...
With the proliferation of the data warehouses as supportive decision making tools, organizations are...
Today, data science presents immense opportunities in attaining competitive advantage, generating bu...
Background and purpose: As a consequence of the growing power of data, there is a need for companies...