Enable Better and Timelier Decision-Making Using Real-Time Business Intelligence System

نویسنده

  • Darshan M. Tank
چکیده

Today’s businesses need support when making decisions. Business intelligence (BI) helps businesses to make decisions based on good pre-analysis and documented data, and enables information to be presented when and where the decisions need to be made. Real time business intelligence (RTBI) presents numbers in real time, providing the decision makers at the operational and tactical layers with data as fresh as it can be. By having accurate, fresher and a bigger amount of data, businesses will be able to make decisions in a faster pace, and eliminate tedious complexity of the decisionmaking process. The objective of this research is to show that a real time business intelligence solution would be beneficial for supporting the operational and tactical layers of decision-making within an organization. By implementing an RTBI solution, it would provide the decision-maker with fresh and reliant data to base the decisions on. Visualization of the current decision processes showed that by adding a real time business intelligence solution it would help eliminate the use of intuition, as there would be more data available and the decisions can be made where the work is performed. The aim of this research is to contribute by visualizing how a real time business intelligence solution can shorten a complex decision process by giving the correct information to the right people. Organizations need to address potential challenges as part of a pre-project of a real time business intelligence implementation.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Guest editorial: a special issue on optimization techniques for business intelligence systems

Business Intelligence refers to computer-based technologies, methodologies, tools, and systems for collecting, integrating, analyzing, and presenting large volumes of information to enable better business decision making. Increasingly, as businesses becomemore automated, data-driven, and real-time, business intelligence architecture evolves to support both strategic and operational levels of bu...

متن کامل

A DSS-Based Dynamic Programming for Finding Optimal Markets Using Neural Networks and Pricing

One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the t...

متن کامل

Clinical decision making in Iranian nurses: systematic review

Introduction: Clinical decision making is one of the most important processes which nurses always use to care for patients. Appropriate decisions help to improve the quality of care, reduce the duration of illness and disability, reduce costs and make optimal use of resources. Therefore, the purpose of this research was to review studies conducted in the field of clinical decision making of Ira...

متن کامل

Enterprise Resource Planning and Business Intelligence: The Importance of Integration

The advancement of information and communications technologies (ICT) has significantly intensified market competition the world over. One of the most widespread solutions is the use of enterprise resource planning systems that has proved to support the integration and automation of the processes, the improvement of the performance, and the reduction of costs. ERP involves the planning and manag...

متن کامل

Data Mining Model Management to Support Real-time Business Intelligence in Service-Oriented Architectures

Use of predictive models for making business-critical decisions is on the rise. However, serious challenges remain on managing data mining models and integrating them with business services using service-oriented architectures (SOA) to provide real-time Business Intelligence (BI). These challenges include model aging, management scalability, timely-communication among parties on model changes, ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014