Złożoność oraz zwiększanie się wolumenów korporacyjnych danych stwarza potrzebę realizacji kompleksowej stretegii zarządzania jakością danych, co stanowi niezwykle ważny element przy tworzeniu niezawodnie funkcjonującego środowiska business intelligence. W przedstawionym artykule autorka rozpatruje problemy jakości danych oraz proponuje sposoby ich rozwiązania.
The Truth about Data Mining Anna Mallikarjunan
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is… Read Article…
Five Steps to Business Intelligence Project Success Lyndsay Wise
Many business intelligence (BI) projects fall short of expectations. Unless organizations implement a methodology and benchmark the success other organizations have experienced, BI implementations may fail to provide… Read Article…
Business Intelligence: Its Ins and Outs Mukhles Zaman
In today's highly competitive business climate, the quality and timeliness of business information for an organization is not only a choice between profit and loss, it is a question of survival or bankruptcy. No… Read Article…
Innovations in Business Intelligence Anna Mallikarjunan
Business intelligence (BI) is in the midst of a new wave of innovations. Ideas in the search space, software as a service, and real-time analytics are extending the reach of BI across the complete size spectrum of… Read Article…
Contemporary Business Intelligence and Its Main Components TEC Analysts
Business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process by allowing a company to manipulate corporate data for decision-making. But what exactly are the primary… Read Article…
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