Miracle Integrating Knowledge Management and Business Intelligence

Transcription

1 ALLGEMEINE FORST UND JAGDZEITUNG (ISSN: ) Available online Miracle Integrating Knowledge Management and Business Intelligence Nursel van der Haas Technical University of Berlin & KRALLMANN AG, Germany ABSTRACT Confusion about the relationship between intelligence there business intelligence focuses on explicit knowledge, while knowledge management based on explicit knowledge and tacit knowledge is needed both attitudes and perceptions of learning and decision-making to develop impact on business intelligence and knowledge management in relation to the influence of organizational knowledge creation, knowledge transfer and learning. This article looks at the importance of solidarity and knowledge management, business intelligence, business intelligence component of knowledge management is proposed. This paper examines the relationship between intelligence, and the effect of combined use of these two categories in different businesses. It is worthwhile cause decision-making in organizations. So the combination of these two important, not only to store useful information for companies, but also improves the performance of organizations and companies and the processes they provide. Key words: knowledge management, business intelligence, explicit knowledge, tacit knowledge 152

2 INTRODUCTION Sharing knowledge to support the demands of the cause's uncertainty is minimized. Sharing of knowledge makes learning staff. In the present world would have its advantages with respect to the unique and valuable resource strategies when this knowledge is considered as an important strategic resource the Company's ability to obtain, joining together, save, share and apply knowledge as a competitive advantage for the company knowledge-based competitive advantages that will differentiate the company? Performance learning organizations that consider themselves through customers and suppliers, not only can track the effectiveness of a new smart business to consider. But be proud to achieve this potential according to the needs and demands of business intelligence to shape their activities and their expected gain competitive advantage. So it is very important to build a smart business managers should encourage employees to create and use knowledge to work quickly and effectively. This article aims to provide prospects for achieving business intelligence approaches, so it can be achieved based on knowledge management. The analytical issues, with an explanation of the sources of the law of increasing returns begin. The dimensions of knowledge management and the objectives of the review after discussing the strategies of intelligence features the knowledge value chain model by introducing the knowledge assets of a business approach to exploit the review and editing. Types of Knowledge Four types of knowledge have been identified: (1) human resources knowledge: the knowledge that exists in the brains of the organization. 2. The mechanism of knowledge that carries special duties integrated hardware machine. 3. Documented knowledge that the archives, books, documents, ledger, instructions and diagrams, etc. are stored. 4. Knowledge automatic that is stored electronically by computer programs that are available to support specific tasks on the other hand, both tacit and explicit knowledge to imagine Implicit and explicit think. Tacit knowledge is personal knowledge domain, knowledge is empirical, while explicit knowledge refers to knowledge that aspect more objective, rational and is more technical (data, policies, procedures, software, documents, etc.) Explicit typically are welldocumented and accessible. The distinction between the two types of knowledge that is difficult to express with words tacit knowledge. However, organizations now realize that they need to perform their jobs effectively integrating both types of knowledge. Hence the creation of tacit knowledge into explicit knowledge is to transform that can be developed. And therefore it can be recorded and stored, and the goal is to manage knowledge: tacit knowledge into explicit knowledge and disseminate it effectively, this powerful concept to create methods, tools and applications of knowledge management has helped. Definitions of Knowledge Management Many researchers believe the change in information and knowledge management to knowledge. Knowledge management is defined as: the recognition of access to experience, knowledge and expertise with new abilities creates encourage innovation and increase customer value knowledge management is of the opinion that supports innovation, creates new ideas and exploits the power of thought. Research has shown that knowledge management By creating a culture of useful and valuable for creating and sharing knowledge and creating a culture of collaboration within organizations play an important role in the innovation process. Knowledge management is the art of creating, organizing, integrating and transferring knowledge to facilitate understanding of the decision. Knowledge management is the process of gaining experience and intelligence in an organization and its use to foster innovation through continuous learning refers. The purpose of knowledge management Believes that knowledge management can enable organizations to their usual practice to improve the operational savvy coupled with creativity the purpose of knowledge 153

3 management, explore new perspectives on learning, knowledge creation and development of inland competition and the ongoing quest to approach the contemporary world. Most individuals and organizations employ knowledge management following reasons: 1. Enhancing cooperation 2. Improve Productivity 3. Encourage and enable innovation 4. Overcome the static data and deliver only what is needed 5. Facilitate the proper knowledge of the supplier to the recipient without the limitation of time and space 6. Facilitate knowledge sharing among employees and prevent them from inventing, 7. Capture and record the knowledge before they leave the company 8. Ensure that valuable knowledge is not lost when an employee leaves 9. Increased organizational awareness of the knowledge gaps 10. Help companies remain competitive environment by increasing their awareness of strategies, products and best functionality competitors and finally 11. Improving customer service The concept of business intelligence applications Business intelligence a managerial concepts that managers in the field of information management and help a realistic decisions such systems analysis and improvement of information for decision support in a wide range of business activities provide. Some business intelligence to the process of converting data into information and then into knowledge introduced. Business intelligence is a concept that has become invaluable to organizations and companies tend to increase the value of their decisions and achieve competitive advantage. Business intelligence, data mining and commercial applications, including analysis of the statistical data related to the business environment of the organization. Business intelligence analysis is an effective agent for the purpose of business and competitor analysis to strategic decisions and rotations are instantaneous. In recent years, business intelligence has become one of the basic concepts of management and organizational culture is incorporated in leading organizations. Increase business intelligence, the information about the business environment and aware of the possibility of analysis provides accurate and timely data. Smart organizations faster and better predict and analyze competitors' strategies, successes and lessons of their defeat business intelligence systems, to extract behavior patterns and provide data in a data center these patterns in the preparation of reports to help managers make decisions and planning. The main objectives of business intelligence include: (1) identify critical and sensitive information needs of the organization, (2) detect the signal of the business environment, (3) collection and optimization of data and information from external sources, (4) use of information and knowledge of the staff, (5) classification and analysis of huge volumes of data and information, (6) modification and optimization tools and information systems Computing, (7) used in place of data organization. Definition of Business Intelligence Business intelligence means having a deep knowledge of all the factors that affect the quality of management decisions business intelligence directors is empowered to make decisions about all the factors affecting the organization. Business intelligence is a promise that the company executives, immediate access to all the data in a format that is not only usable, but all managers and decision makers of the organization related to business intelligence systems by individuals and corporate IT staff to help create more stability and data-based decision making process that better results. Substitute decision makings on the speculation business. In addition, applications, business intelligence, increase communication between units, coordinates the activities. The company is equipped to respond quickly to changes. Indeed, business intelligence, skills sets, applications, technologies and practices for storing, retrieving, analyzing data, information 154

4 and knowledge of the business environment in order to assist the decision making process to enhance performance through assessment and analysis to expand the competitive ability and effectiveness of the organization business intelligence systems, to extract behavior patterns and provide data in a data center. The pattern of reporting to decision-making and planning will help managers. Such as business intelligence applications based systems can extract and analyze data from multiple sources, such as enterprise resource planning systems, customer relationship management, supply chain management, business cycle automation market data to identify patterns and detect as the issues. The importance of business intelligence The hotter the subject of business intelligence, database management tools, reporting tools and data mining technology was proposed to have found a new trend. These systems have access to large amounts of data are aggregated, filtered and categorized provide. These data contrast with the contents of the database, processed and the converted data. That's why the decision making process easier and can be done on the basis of this information. Business intelligence based systems are capable of dynamic data in compact and integrated information and statements such as tables, charts, various reports. Hence, analysts can have a clear interpretation of its offer, the management of information and knowledge in the decision-making resulting benefit. Prerequisites for the use of business intelligence Development of business intelligence activities by the approach above, is considered low, i.e., the necessary decisions to be taken by senior resources and then transferred to lower-level managers. Knowledge management as "business intelligence helping hand" knows. He is also the use of business intelligence to make optimal use of information collected in a way that maximizes its useful to know which decision-making is more effective in business. Business intelligence solution is a technique that involves collecting, storing, analyzing registered. It also enables the company to adopt the knowledge that leads to a competitive advantage for your business is worth. Smart businesses are attractive because it is fast and powerful tool to store, modify, planning model and analyze the vast amount of information provided about the operation. Business intelligent systems in organizations that use them when they following preconditions: 1. identify and model the knowledge, 2. View and change the storage of information, 3.analysis and reporting, 4. Learning turn information and asking questions, 5. business development and decision-making based on current work. Correlation business intelligence and knowledge management Knowledge management and business intelligence, both qualitative and quantitative knowledge of current technology to obtain value for its decision business intelligence is applied to new data base management system for the building data warehouses. Used as well as data mining to the business advantages of a large volume of business and company information is extracted. Knowledge of techniques is less intelligent business management techniques to maturity is reached and are able to combine the content management system. And text mining capability that brings more value from the information provided. Today's business organizations that exist to believe in intelligence are mixed together. There are currently companies in the business of the technology used in isolation. But new technology companies should properly be designed to implement both categories. This technology can provide a return on investment. And shape the approach to the business. These include: 1- reduce useless and inefficient activities 2 - dealing with things that create revenue opportunities for the company. The interaction between knowledge management and business intelligence intelligence also has several deficiencies are common. Including, most notably, the inability to perform automatic decision making this means that neither of these two concepts, able to automatically process decision not. But the act of decision easier for users but such demands virtually no knowledge possible for 155

5 most of us. If the user's knowledge as a set of best business practices can be found in a set of business rules and processes associated with the operation resulted in the decision making and action process can be in the form of planning or automatic. So with regard to the expression, the ability to communicate and to tie in with the knowledge of business processes is crucial. On the other hand, we know that knowledge management systems, including knowledge, skills, experience and expertise, and business intelligence systems, including commercially valuable data and meta-data, which led to the birth of commercial information and data as a basis for knowledge is considered. Therefore, the following can be set above the point where the integration of these systems can have significant effects on the performance of organizations. The importance of knowledge management and business intelligence efforts Both have greatly affected the organizational culture states that the adoption of IT managers in companies directly related to the vision of innovation and adoption of the decision makings. Although the company has concluded that its employees should be encouraged to share knowledge among the organization. They also have the knowledge management and business intelligence solutions at all levels of decision making in the organization. So particularly affected by organizational culture using knowledge management and business intelligence application simultaneously understand, appreciate and value the company staff increases. Davenport noted that the company is valuable for business intelligence, had 3 key elements are: high quality raw information technology environment capable being professionals. High quality raw data is important. This information should be designed in a time effective. So it must have enough processing power to be analyzed. Companies like the quality of knowledge management and knowledge management have little to work properly. However, both organizations are rarely collected. Conclusion It seems the business and even concepts are changing rapidly. And senior managers of organizations, methods and tools are needed to understand the pulse of the changes. Guide them in decision making. Managers rely on business intelligence, the pulse of the business with the conditions of competition in the world. Business intelligence management tools as well as other senior management attention and support in achieving organizational success helping companies can deliver business intelligence, business intelligence as well as their names sometimes. The current situation is rapidly changing economic and business conditions. Business intelligence can remain safe umbrella organization for the implementation of the economic turbulences. Business intelligence is about knowledge exchange information and identifies opportunities to learn from the problems of the collection. Applying knowledge management practices can help to pave the way business intelligence activities. Knowledge must be institutionalized in organizations and business intelligence professionals regarding how learning and knowledge sharing through business intelligence help integration of intelligence to improve organizational performance. Having the right technology, skills and abilities of employees, the knowledge and confidence of the institutional context and culture by intelligent business organization is an important aim for excellence Knowledge management and business intelligence efforts across a broad range of influences, including participation in the decision making process of understanding realization of the work. All information, including information about the organization's unique knowledge and experience covers the organization. Knowledge management is to maximize the competitive advantage of the knowledge gained from data analysis, synthesis and transmit. Knowledge management in the company's current settings, appropriate information from the environment and to share, how to analyze the issues and impact on the results of business intelligence production therefore, and knowledge management is a key factor necessary to achieve the organization's business intelligence. Although the business of 156

6 conducting business smart large task requires extensive and systematic. But it can be used to explain the theoretical basis of gradual efforts to enrich scientific resources and develop conceptual frameworks used. Hence, it is proposed to establish smart business approaches in the microeconomic foundation of the business of the enterprise, market and customer knowledge management based on the restructuring although this change will happen willingly and unwillingly, but preparation leads to strengthen the core competencies of the microeconomic aspects of the activity. References 1. Buckman, R, Collaborative knowledge, Human Resource Planning, 1999, 22 (1), Vaccaro, A., Parente, R., Veloso, F.M, Knowledge Management Tools, Inter organizational Relationships, Innovation and Firm Performance, Technological Forecasting & Social Change, 2010, 32, Kalling, T, Knowledge management and the occasional links with performance, journal of knowledge management, 2003, 7 (3), Burk, Mike, Knowledge Management: Everyone Benefits by SharingInformation, 1999[onne].Available:h p://www. hrc.gov/pubrd s/novdec99/km.ht. 5. Xu, J., Li, Y, An empirical investigation of knowledge management and innovative performance: The case of alliances, Research Policy, 2009, 38, Chourides, P., Longbottom, D., Murphy, W, Excellence in knowledgemanagement: an Empirical Study to Identify Critical Factors and Performance Measures, Measuring Business Excellence, 2003, 7 (2) Alon, I., Higgins, M, Global Leadership Success Through Emotional and Cultural Intelligences, Business Horizons, 2005, 48, pp Turban, E, Business Intelligence:Amanagerial approach, pearson education Inc., 2008, New jersey. 157