Keeping Your Business Alive With Data Mining and OLAP

Since business carried an "e" (e-business), companies are deluged by data, business transactions and competitors became invisible, historical hardware and software companies became competitors, banks are now competing with telecommunications companies, and simple Websites became predatory competitors of long-established multinational marketing companies.To survive in the current marketplace, it is an imperative for businesses to develop wise corporate strategies that emphasize the strategic use of IT not only in supporting business processes and decisions, but competition as well. The tricky question now is to know how to do so in such an invisible environment? A debut of solution can be digging deeply in the mountains of business data to discover the hidden historical patterns that they carry.

Autorentext

Luc Einstein NGEND NGEND is a Lecturer of software related subjects in the School of ICT at the University of Rwanda. He holds a Masters in Applied Computer Science from Ecole Supérieure d'Informatique, de Commerce et de Gestion, Paris, France and is pursuing his PhD in Information Technology at Atlantic International University, Honolulu, USA.

Klappentext

Since business carried an e (e-business), companies are deluged by data, business transactions and competitors became invisible, historical hardware and software companies became competitors, banks are now competing with telecommunications companies, and simple Websites became predatory competitors of long-established multinational marketing companies.To survive in the current marketplace, it is an imperative for businesses to develop wise corporate strategies that emphasize the strategic use of IT not only in supporting business processes and decisions, but competition as well. The tricky question now is to know how to do so in such an invisible environment? A debut of solution can be digging deeply in the mountains of business data to discover the hidden historical patterns that they carry.