This report analyzes the various tools used by organizations for decision making and the factors that influence the process. It explores different decision-making styles and evaluates data sources. The report also examines decision-making systems and techniques.
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Running Head: Business Decision Analytics Business Decision Analytics
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Business Decision Analytics1 Executive Summary In this ever competitive world of business, taking the right decision can literally be connected to the survival of the business. The managers and top management executives of business in recent time use a wide range of tools to take correct and effective business decisions. This report is aimed at analyzing the various tools used by various organization to take their decisions and also analyze the factors that influence the process of decision making.
Business Decision Analytics2 Table of Contents Introduction......................................................................................................................................3 Difference and evaluation of the decision-making tools range along with their usefulness and impact on the various forms of decision-making styles..................................................................3 Critical evaluation of data sources that influences decision-making.............................................11 Examination and Evaluation of Decision Making Systems and Techniques................................14 Critical Examination of Emerging Tools and Technologies for Decision Making.......................15 Conclusion.....................................................................................................................................16 Reference.......................................................................................................................................17
Business Decision Analytics3 Introduction In order to take a critical decision are made by analyzing crucial available option. It helps in the identification of the various drawback and related flaws of decision making. According to Pettigrew (2014) organizational decision-making gets affected by the implementation of various revolutionary working and data analyzing the process that also prioritizes the elevation of the automation process which in turn leads to the inculcation of talent based efficient workforce in the automobile manufacturing industry. The figures that are received by the application of specific and efficient tools like those of SWAT, T-Chart, and market research are very helpful in justifying the validity of the various elements in the decision making the process. Possession of different styles that are instrumental in the analysis process, by contrasting and comparing the various sources of data. The techniques along with the process that is important while making a decision are specially mentioned in this report. The process of introducing the concept of automation did deserve a meaningful citation in this report and is described as a solution to one of the mentioned problem in this discussion related to the process of making and implementing decisions. Difference and evaluation of the decision-making tools range along with their usefulness and impact on the various forms of decision-making styles The application of the right kind of decision-making tools in an ongoing decision-making process is very crucial. It will in turn help in the attaining of various organizational goals and will help in the meeting of stakeholder’s interest. A guided step in the form of charts and diagrams are assigned that will help the various decision-making tools in the execution of their prime target of getting their decision made within an organizational framework. Below mentioned are the operative decisions making tools that are put into uses. They are as follows: Steps in the process of developing an effective decision: Certain steps are there without which it is nearly impossible to make and implement any decision. Missing out or failing in the process of meeting any of the below-mentioned diagram’s criteria or
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Business Decision Analytics4 steps can lead to the development of a faulty or defective decision that ongoing further will have anegative impact on the attaining of business success. Figure 1:Decision-making steps Source:Created by Researcher Identification of decision: The very fact of decision making is directly related to the successful following of the above- mentioned steps. This particular fact is well defined by the structural diagram of the steps involved in the development of successful decision making. It can impact the planning and execution procedure followed by a production industry.
Business Decision Analytics5 The process of collecting relevant information: Below mentioned data collection method helps in the gathering of the relevant information: •Sources based on the external educational data helps in the process of evaluating the prospect of the business •Questionnaires that are based on the relevant decision making the context •self-assessments of their own capacity The process of Alternatives Identification: It is important for a productive industry to consider the availability of the crucial alternatives that can provide necessary support at the time of need or crisis. This process involves the following: •Increase the variety of the product •Switching to the production of completely new product •Increase the profit-making process by planning an expansion The process of weighing all the alternative factors: This refers to the process of weighing the available alternatives options on the basis of their productive capacity. It signifies the capacity to asses and handles alongside overcoming some of the challenging factors that include: •The need to adapt to the new marketing techniques alongside accepting them. •Ensuring the development of a simplified process that can be customer friendly. •Providing a best in class service at a competitive sometimes attractive price quotient •High investments to ensure infrastructural compatibility The process involved in the selection of the best available alternatives: Analysis based on the available data after considering all the above-mentioned alternatives further instigated the process of selecting the best one among the others. In order to attain the targeted business goals by removing all the barriers, it is necessary to take certain effective long and short
Business Decision Analytics6 term decision. An organization can be able to conclude and sort the major business target on which they have to work on. The process involved in the implementation of choice: It is very clear from the title itself that an organization should focus more on the bringing of necessary changes in their respective line of business by implementing the selected one of the above-mentioned options. The process involved in the Reviewing and Evaluation of the selected option: It is necessary for a given organization to review and evaluate the outcomes and possibilities of their selected option. It can be helpful in the process of assessing the effectiveness of the decision making the process. It will, in turn, help the organization to check if the extent of reaching the desired results. It also provides an option to switch from one decision to another. Important 3 Decision-Making Tools: Use of DecisionMatrix inclined to MarketResearch: This tool helps in the gathering of information while taking a crucial decision. The 3 important contributing factors are: •considering the competition in the market •Potentially relevant customers, •Condition of the market Assessment of the available options that affect the decision making steps. An analysis based on the comparison is drawn to select the best option available. Decision matrix of a random organization operating in the automotive industry is as follows:
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Business Decision Analytics7 The decision matrix will help in the cost-benefit analysis. It depicts the possibility of adopting a new line of products to attain the business target and increase the profit quotient. The cost- benefit analysis can be described using the given diagram. Figure 2: Cost-benefit analysis Source:Created by Researcher
Business Decision Analytics8 T-chart analysis and drawing of SWOTAnalysis A comparative study to determine the pros and cons of the available options that further identifies the weaknesses andstrength of the decision-making process(Celanoet al.2012).It is important to properly weight available data and works on both theweaknesses and strengths quotient by eradicating the possible threats. Figure 3 : T Chart Source:https://www.enchantedlearning.com/graphicorganizers/tchart/gifs/ex.GIF Figure 4: SWOT Analysis Source:Created by Researcher
Business Decision Analytics9 ParetoAnalysis It is important for an organization to refer to the Pareto analysis while making a big decision. The Pareto principles help in the process of taking a big step and prioritizing the contributing factors. They follow an 80:20 ratio policy in which factors that are high on contributing context are preferred more in comparison to less contributing ones(Kaliszewski, 2012).The below mentioned is a Pareto analysis. Figure 5: Pareto analysis Source:Created by Researcher The above-mentioned tools of contributes highly toward the development of Decision-Making Styles. They lead to an effective decision-making process. There are 4 main different Decision- Making Styles sequentially are described in the underlying image(Zasadzień, 2014).It includes the following:
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Business Decision Analytics10 Figure 6: Decision-making styles Source:Developed by researcher In order to decide on the style below mentioned factors are to be considered: Relationship with the business goal On time Appropriate to the given issue or context
Business Decision Analytics11 Critical evaluation of data sources that influences decision-making Below mentioned is a contrast based on the factors that had a direct effect on the development of either a good and bad decision (Fanning, 2014). They include the following aspects that justify the above-mentioned points: Bad Decision makingGood decision making Some of the input providers feel that their point of view was not at all considered All the input providers feel heard, the buy-in is achieved. Those who disagree do not contribute toward the decision Even those who disagree commit to working towards the decision(commit and disagree) Suffers from conscious biasMinimizes the effect of unconscious bias Too many processes and is conducted slowly due to attaining of too many meetings. A lightweight process that is made with few meetings People seek to be rightPeople seek truth No clear decision maker, or too late decision making in the process Advance choosing of the decision maker Too few or too many decision makersChoosing the appropriate number of decision maker given the risk of the decision A critical evaluation and understanding of the different sources of data that influences the process for the decision-making It is important for any product based company to identify the causes of data that are further divided into two main parts. They are the Primary and Secondary Data sources(Clark, 2013). The comparison and evaluation of different sources of data along with the ways they impact the decision-making process
Business Decision Analytics12 Figure 7:Data analysis matrix Source: Developed by researcher It is essential to mention that the application of the following sources can collect the primary data. They include the following: data based on case studies data based on group interviews Data based on observation. data based on an in-depth interview data based on questionnaires data based on experimentation
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Business Decision Analytics13 Secondary data collection methods include: 1.External Sources features the following advantages: data collection consumes more time poses a large variety of numerous data operates outside the organization less in terms of both money and effort The only disadvantage is that the drawing of biased data. The sources of external data include Planning Commission, Different government and nongovernment publications Central Statistical Organization, Commerce and Industries annual audit report Nongovernment publisher chamber of commerce, press media, A central bank, etc. 2.Internal Sources includes the following features : Include ideas of the internal experts Operates within the organization and Can be obtained with less time More in terms of money and effort. Disadvantages include being inadequate data sources and are very unstable. All the sources mentioned above when taken together they constitute the four most common data sourcing types. They are as follows: oFlat files oBig Data oDatabases both digital and analogically processed and generated
Business Decision Analytics14 oWeb services or the sourcing from the World Wide Web. oService-Oriented Architecture that allows the reusing of data oThe use of relational tables, oUsing the RSS feeds. oUsing the Extensible Markup Language (XML) documents, Examination and Evaluation of Decision Making Systems and Techniques The analysis of the decision making systems and techniques concerning the group decision methodology should be understood critically to achieve sustainable outcomes. To develop an analytical as well as critical model regarding decision making systems and techniques it is thus required to focus on the theories and philosophies of different decision-making system and methods corresponding to the group decision methodology an arbitrary (Taylor, 2017). Brainstorming Method This method includes a gathering of individuals, generally somewhere in the range of five and ten, lounging around a table, producing thoughts as a free affiliation. The essential spotlight is on the age of thoughts rather them on the assessment of ideas (Fischer et al. 2013). If countless can be produced, at that point, all things considered, there will be a one of a kind and innovative thought among them. Every one of these thoughts is composed on the slate with a bit of chalk so everyone can see each idea and endeavor to enhance such purposes. Nominal Group Technique Ostensiblegatheringstrategyislikeconceptualizingasidefromthatthemethodologyis progressively organized. Individuals structure the gathering of the identity details in a freeway, that lead to the creation of thoughts for the issue tackling without the aid of anyone and then is recorded in the hard copy. Individuals don't collaborate so solid identity mastery is dodged. It supports the singular imagination (Sutton& Arnold,2013). The gatheringorganizereithergathersthesecomposed thoughtsor composesthen on a substantial slate for anyone to view or requests them to take active participation by writing and arranging them in the writing board as per the requirements. Delphi Technique According to, McMillan, King, & Tully (2016), this method is the change of the ostensible gathering procedure, then again, actually conclusions of specialists physically isolated from one
Business Decision Analytics15 another and obscure to one another. This protects interested individuals from taking on the other’s impact that is not ethical or undoes. Didactic Interaction This strategy is appropriate just in specific circumstances, yet is an incredible technique when such a situation exists. The kind of issue ought to be with the end goal that it results in a yes-no arrangement. For instance, the choice might be to purchase or not to purchase, to combine or not to converge, to grow or not to extend, etc. Such a choice requires a broad and comprehensive talk, and examination since a wrong decision can have positive outcomes (Kryukovaet al. 2017). Since, in such a circumstance, there must be points of interest just as drawbacks of both of the two options, the gathering required to settle on the choice is part into two sub-gatherings, one supporting the "go" choice and the other favoring the "no go" choice. Critical Examination of Emerging Tools and Technologies for Decision Making The following tools can be taken for the examination: Capabilities of Processing Data Innovation is hugely instrumental in enabling the path through various data measurement tools. Information stockroom has information mining devices which modernize the way toward deciding. Information Technology and Speed Massive data measurement and refined handling capacities will enable to add value to data while making appropriate choices. Information Technology must recognize inquiries related to data and the ways to process data (Akteret al., 2016). Information Technology and Group Decision Making A representatives group can make a cooperative choice to develop and make fast choices (Ren et al., 2015). A (GDSS) emotionally supportive network is a sorting of the network issues by the interested group. A GDSS helps in the development of a leadership group by the utilization of the following process they include: groupware, DSS abilities, Coordination
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Business Decision Analytics16 Along with media communications. GDSS plays a pivotal role in the less organized group that is willing to make changes. A Note besides concerning Technology in Decision Making Numerous associations are depending on Information innovation as a principal driver of both generation and essential leadership within an association as a method for increasing upper hand. Most conventional meanings of GDSS "cooperative choice emotionally supportive networks they do give a little point of view on which data innovation can be utilized in collective choice making. When settling on a choice as a gathering, you will require an expansive perspective on the current point and use "IT" to burrow profound , each gathering part should put forth an itemized defense contemplate on that specific "Theme" and use "Data Technology to break down the realities for those situation concentrates on helping you as a gathering to settle on an ultimate choice in time (Thokalaet al. 2016). Conclusion Theanalysisaboveisrevolvingaroundthedifferenttheories,practices,andmeasures corresponding to the Group Decision Making and Decision Making as a whole. To deal with the issue, a few points have arisen, the entire analysis is carried concerning which. The fundamental part that has been seen that the technological perspective of decision-making methodology is also cited for having a more advanced idea and for venturing that how the manual theories have been used by the technology to have an advanced technological practice. The entire analysis has concluded finally in a single point issue that the decision-making methodologies are inconsistent without adopting the democratic, modern and inclusive philosophies.
Business Decision Analytics17 Reference Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., & Childe, S. J. (2016). How to improve firmperformanceusingbigdataanalyticscapabilityandbusinessstrategy alignment?.International Journal of Production Economics,182, 113-131. Celano, G., Castagliola, P., Trovato, E., &Fichera, S. (2012). The economic performance of the Shewhart t chart.Quality and Reliability Engineering International,28(2), 159-180. Clark, G. (2013). 5 Secondary data. Methods in Human Geography, 57. Fanning, S. F. (2014). Data Sources: Uses and Evaluation. Appraisal Journal, 82(4). Fischer, F., Kollar, I., Stegmann, K., &Wecker, C. (2013). Toward a script theory of guidance in computer-supported collaborative learning.Educational Psychologist,48(1), 56-66. Kaliszewski, I. (2012). Quantitative Pareto analysis by cone separation technique. Springer Science & Business Media. Kryukova, N., Zakharova, A., Dulina, G., Yusupova, Z., Belonovskaya, I., &Bogdanova, J. (2017). Didactic features of pedagogical interaction as the basis of university education. Man In India,97(3), 29-41. McMillan, S. S., King, M., & Tully, M. P. (2016). How to use the nominal group and Delphi techniques.International journal of clinical pharmacy,38(3), 655-662. Pettigrew, A. M. (2014).The politics of organizational decision-making. Routledge. Ren, J., Manzardo, A., Mazzi, A., Zuliani, F., &Scipioni, A. (2015). Prioritization of bioethanol production pathways in China based on life cycle sustainability assessment and multi- criteria decision-making.The International Journal of Life Cycle Assessment,20(6), 842- 853. Sutton, S. G., & Arnold, V. (2013). Focus group methods: Using interactive and nominal groups toexploreemergingtechnology-drivenphenomenainaccountingandinformation systems.International Journal of Accounting Information Systems,14(2), 81-88.
Business Decision Analytics18 Taylor, E. W. (2017). Transformative learning theory. InTransformative Learning Meets Bildung(pp. 17-29). Brill Sense. Thokala, P., Devlin, N., Marsh, K., Baltussen, R., Boysen, M., Kalo, Z., ...&Ijzerman, M. (2016). Multiple criteria decision analysis for health care decision making—an introduction: report 1 of the ISPOR MCDA Emerging Good Practices Task Force.Value in health, 19(1), 1-13. Wei, G. W. (2010). GRA method for multiple attribute decision making with incomplete weight information in the intuitionistic fuzzy setting.Knowledge-Based Systems,23(3), 243-247. Yuan, H. (2013). SWOT analysis of successful construction waste management.Journal of Cleaner Production,39, 1-8. Zasadzień, M. (2014). Using the Pareto diagram and FMEA (Failure Mode and Effects Analysis) to identify critical defects in a product.Management Systems in Production Engineering.