IT consulting industries have a legacy of supporting business data and intelligence from its early conception of design and implementation of information technology (IT) systems and software. Prior to the current mass consumer use the earliest IT user has been the government. They’ve used this method for tracking and managing mass information. Today, IT is being used across the board at all levels of business from small to larger public and private firms. As a result, opportunities for independent consulting firms have increased over the past 10 years separating into specific market segments for commercial and government demands.
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Henry Linger, Intelligent Decision Support in the Context of the Modern Organisation – (1997), Monash University, Melbourne Australia: inforge.unil.ch/isdss97/papers/84.htm
... a balanced scorecard? (Online). International Journal of Productivity and Performance Management. 60(7). pp.688 – 708. Emerald. Available From: http://www.emeraldinsight.com.ezproxy.liv.ac.uk/journals.htm?issn=1741-0401&volume=60&issue=7&articleid=1958463&show=html#sthash.WM3zODn9.dpuf [Accessed on 7 January 2013].
The last decade can be marked as a period of significant changes in the business world. Being accustomed to utilize computers as a powerful tool with its office applications such as Microsoft Word and Excel. In the 1990s office workers first faced the opportunity to share information using the Internet (McNurlin, 2009). However, the situation became even more different with the transition to the third millennium. With a further development of information technologies, the majority of big enterprises had to reconstitute their business processes and to make the transition to the Internet economy. Enterprise resource planning (ERP), supply-chain management (SCM), customer relationship management (CRM) software and the variety of other information systems became essential components of the new economy. It can be expected, that all these complex solutions were designed to bring great benefits for different sides of the corporate activity, in particular, decisions made by top-managers are expected to become nearer to the ideal, customer service is to be improved and collaboration more prolific. Nevertheless, to ensure the desired results it should be taken into account that the key concept of these reorganizations is an information or a data, dealing with which can be a serious issue, and wide utilizing of the data warehouses in contemporary organizations confirms this fact.
The dynamics of our society bring many challenges and opportunities to the business world. Within the last decade, hundreds of jobs have emerged particularly in the technology sector to help keep up with the ever-changing world and to compete on a larger and better scale than the competition. Two key job markets and the basis of this research paper are business intelligence or BI and data mining or DM. These two fields play a very important role in small to large companies and are becoming higher desired sectors within the back offices of the workplace. This paper will explore what the meaning of BI and DM really is, how they are used and what we can expect as workers and learners of the technology and business fields for the future.
Performance management is a useful and powerful tool that can be used by managers to identify what areas of their organisation they need to improve to increase the organisation’s overall performance. The idea of a balanced scorecard enforces a sensible distribution of resources and effort across all aspect of performance an organisation is, or should be, concerned with.
Decision making refers to the process of finding and selecting options according to the priorities and values of the person making the decision. Since there are many choices involved, it is important to identify as many options as possible so as to pick the option that best fits a company’s target, goals, values and vision. Due to the integral role of decision making in company growth and financial progress, many firms such as Amazon.com and EBay are pumping in huge investments in business intelligence systems, which are made up of certain technological tools and technological applications that are created for the purpose of facilitating improved decision making process in business. In this paper, I take a critical look at Decision Support Systems and how they affect organizational Decision making.
Business intelligence is a series of technologies, processes and tools required to convert data into information that is further converted to knowledge and plans respectively that yield profitable business accomplishments. Business intelligence consists of components such as knowledge management, warehousing, data mining, querying, reporting and business analytics. The definition of business intelligence is knowledge acquired about a business via the use of various software and hardware technologies that enable an organization to transform data into information or plans (MÜLLER et al., 2013). Companies and organizations employ business intelligence to cut costs, improve decision-making and in identifying new business ventures. What makes business management special is that it allows the company team to use data strategically in responding ...
However, BSC is not a template that can be applied to businesses in general. In this circumstances, different market situations, product strategies, and competitive environments need different scorecards. The businesses must devise customized scorecards to fit their vision, mission, strategies, technology, as well as their culture. On the other hand, the Performance Prism is an alternative for the BSC which is worth considering for companies looking for a system to measure and manage their performance. Based on a stakeholder approach, it is more flexible and more integrative than other systems.