literature review and proposal
Posted by Winnie Melda on October 8th, 2018
Businesses and organizations are valuing data on the basis that information is a propelling item in decision making once handled as required. Analytics was introduced with the aim of boosting the process of decision making, and this has led to the evolution of different analytical tool. The analytical tools are defined business application tools that are applied n measuring and ensuring that the performance of the business operations is improved towards meeting the strategic goals of the business. Different tools have been applied. However, the SAS analytic tool emerges to be the most applied and considered an appropriate analytic tool that works to provide all the data visualization, analytics, and business intelligence solutions. SAS was developed with the mission of delivering proven standing solutions that will ensure the driving of innovation and improving performance within the business. People have seen data as facts and figures but the really idea is that data is beyond that as it is the lifeblood of the particular business. The fact has done many businesses to largely invest in the management of data and data systems just to make sure that they get the best from what has been generated by the business to improve the performance and value of the business.
SAS is known as the statistical analysis software that was software suite designed and developed by the SAS Institute for advanced analytics, business intelligence, multivariate analyses, data management and the predictive analytics. The SAS application was developed from1966 to 1976 at North Carolina State University. It was the same time that the SAS Institute got incorporated. Analysis has the trends of moving from the traditional analysis of the variance methods and the linear regression later advanced to the Bayesian inference and the move to the high-performance modeling tools that suited the massive data which includes the SAS/ STAT/SPSS. The application is defined of fitting both the specialized and the enterprise-wide statistical needs with the proven of producing and delivering of accurate results for the current and the future predictions. The application has been promising in providing information that regards the future of the business as they highly influence the decision-making process.
Features of SAS
The SAS app is defined as the power of providing a very powerful programming language with specific components known as procedures that will enable the particular user to perform a wide range of analysis and data management functions. It is also well known for producing different text-based and graphical presentation output. The app has also been defined as the feature of being portable across multiple computing environments. The software is compatible with a wide number of analytical methods and tools.
The features have given the SAS an immense variety of applications that may include the easy accessing of raw data files, the data located in the external databases as well as the database management systems. The SAS app does manage data using different tools for ensuring that there is data entry, retrieval, editing formatting and conversion (Slaughter & Delwiche, 2010). The analysis is done using the techniques of the multivariate techniques, descriptive statistics, linear programming, forecasting, and modeling. The presentation of data is done by the use of reports, business, and the statistical graphics. The application of SAS clearly outlines how the app can relevantly facilitate the definition of a proper solution towards determining the future operations of the company.
Benefits of SAS as an advanced analytical tool
The SAS application is well known for applying the current and latest statistical techniques that are relevant and applicable to the different size of data. There is the acceleration in the releases of the application versions to meet the growing rate at which data is being generated within the global. The SAS applications have kept the pace with the introduction of new methods of handling data since there is the rapid expansion of the field of statistics. The application is thereof associated with the techniques that handle the small and huge data sets, the high performing statistical modeling tools that apply to the large data sets and other special analyzing data methods (SAS Institute, 2013).
A very essential notable benefit of SAS is the capability of relying on the validated algorithms to make sure that quality of the deliverables meets the international ISO defined standards. The history of the SAS shows the experience of more than for years in the field of developing the advanced statistical analysis software which is followed with a good reputation for delivering reliable results. The algorithms have enabled the delivery of codes and information that is easy to document and that meets the national and international compliance requirements.
The SAS application is integrated to the fact that the current operations of business have been automated and relies on the global network. The app, therefore, takes advantage of the technical support and the web user communities. The app is integrated with a supportive team that provides the technical support online to the users to make sure that the use of the app meets the requirements of the users. Training is provided by the vendors who are indeed an added advantage to working with such app. Data analysis is critical and requires teamwork to deliver the reliable results hence the sharing of information has made the SAS such popular (Charleston Conference, In Bernhardt, In Hinds & In Strauch, 2012).
The SAS is simplified with a particular environment of operation. The app is integrated differently to make sure that it has the capability of accessing and managing data, building and deploying different statistical models. The SAS models come to work compatible with some other statistical models which are relatively applicable to the acquisition of desirable results.
The SAS analytical tool application
The project underneath is to develop a strategy that will deliver a sting solution to the overflow of the bookings since there can be an experience of the unexpected extension of existing bookings. The tool is known for handling thousands of data rows. The tool has the best application when it comes to data visualization. The visualization will enable the handling of the data in a sorted manner such that the booking get defined according to the categories of the date, time and the respective booking made for. The app can handle the massive real-time incoming bookings to deliver a substantive model that will provide a report that will simply deliver the future bookings even when they exceed the current massive bookings.
Having the application of the SAS over the current booking data, better insights will get provided describing the way forward on how to handle the massive booking. The application of the tool should get handled and applied to the data according to the time bookings are made. The application of the SAS tool in implementing the solution onto the overflow of the bookings may get deployed via the below proposal of activities. The activities should be done respectively to the application of the SAS application and the other compatible advanced analytical tools such as the SPSS.
The operations of the business can only be improved upon the reviewing of the past activities and the current operations from which trends and patterns can get drawn to describe the possible future looking of the business. The business is experiencing the overflow of bookings which means that the systems will get overwhelmed and lead to difficult in holding any more booking. The underlying problem requires a substantive solution to provide the solution to the issue to make sure that the operations of the business remain intact. The internship at the company will, therefore, begin with the orientation to the company to have that understanding of the business. The project will begin there off by undergoing training that regards the acquisition of the knowledge of the SAS app. The business problem will get examined and determine the requirements then followed with the development of the solutions which will be implemented thus marking the end of the project with the aim of ensuring that the operations are according to eh mission and vision.
Iteration 1: Orientation
The orientation will mark the beginning of gathering the intended skills, experience and knowledge that regards SAS analytic tool. The iteration is defined as the practice of obtaining an understanding reading the business structure, the operational layout alongside the studying of the different principles and procedures that govern the business. The process will get outlined with the practices of getting introduced to the business to be familiarized with the even area and persons of the business so as the future operations are done more relatively with ease (Lawson, 2016).
The iteration will be critical to determining the pace at which the subsequent activities will be being undertaken. The aspect at this point is to obtain the understanding of the company that is relevant to my objective. The concentration will be at the operational and the information technology departments. The orientation is programmed to take three working days.
Iteration 2: Training
The objective of the project is to provide the substantive solution to the underlying overflowing booking within the company. The iteration provides a good start towards moving to provide the solution by providing training that will base on the SAS application. The training at the point will be defined with the objectives of ensuring that there is a good understanding of the analytical concepts and principles. The action will provide a relatively good way of knowing how to apply to the underlying issue of the business. It will get followed with the training on how to use the different modules of the SAS application. The iteration is the crucial part as the subsequently required information must get obtained from this session.
The training process will involve the practical and substantive interaction with the SAS software so as to learn how to use the app. The training will also get extended to providing knowledge that relates to business analysis without the use of data but observation and referencing. An essential part of the training will be the learning of the SAS application and implementing some of the applications of the SAS software relatively to ensure that the relevant understanding is obtained as required. The process is estimated to take one week and a half.
Iteration 3: Business studying and examination
The definition of a solution begins with the studying of the business to well understand the operation and take to compare out the goals and then examine to outline the problem from which an intervention is developed. The iteration will be concerned with the identification of the particular cause of the overflowing of the bookings so that the recommendations are developed. The recommendations will be defining the solution requirements. The process of studying and examining the business will have the aim of determining the requirements that upon being developed and implemented, the solution to the problem would have been delivered.
The major iteration activities will involve the conducting of interviews, through observing to acquire the understanding and through the administration of the questionnaire to obtain the relative information. The information will get applied in defining the respective solution which will be moving towards a real-time system that gets to capture the most important information of clients only to easy of the massive details of the client during the booking. The iteration will take less than one week time. The information captured will be essential in the subsequent iteration of developing the strategy to handle the overflowing of the bookings.
Iteration 4: Building of the new business Strategy
The iteration will mark the climax part of the project since it will play the critical role in exercising the knowledge obtained from the training attended. The activities of the iterations will be the identification of the information that will shed light on what to get done to shape the operation of the business. The major practice of the phase will be the application of the SAS application to analyze the data from the previous operation and the current operation to realize the trend that the business is taking as far as the current state is concerned. The data obtained during the examination of the business will be taken as a relative at this point.
The practices of the iteration will majorly be the drawing of patterns and trends to provide relevant information well to see how best the situation can get handled. There will be a lot of consultation and involvement of different sections of the business to make sure that the new strategy gets developed according to the representations obtained from the analysis process. Since the concern is to obtain the understanding, the process will be done at a slow pace to make sure that errors are maximum avoided and reduced. The iteration will take at most two weeks.
Iteration 5: Implementation and evaluation of the strategic solution
Upon developing the new strategy that will see the problem of overflow of bookings, the solution ‘new strategy’ will get deployed to take effect of restructuring and changing the exhibiting conditions. The implementation process will also depend on the previous ways applied in implementing the different applications and techniques within the business. The relevant application deployment technique such as the phased operations will be such applicable. This outlines how wide the SAS app will get applied in the fourth iteration (Whittington & Delaney, 2013). The most concern will be the technical part of the solution to getting the identified applicable applications to meet the underlying problem. The phase will be defined with the description of how the technical support will be provided to eh new strategy as well.
Charleston Conference, In Bernhardt, B. R., In Hinds, L. H., & In Strauch, K. P. (2012). Something's gotta give: Charleston Conference Proceedings, 2011.200-201.
SAS Institute. (2006). SAS® Intelligence Platform: Overview. Cary, NC: SAS Pub. 6 -9.
SAS Institute. (2013). Getting started with SAS® Enterprise Miner 12.3.
Slaughter, S. J., & Delwiche, L. D. (2010). The Little SAS book for Enterprise Guide 4.2. Cary, N.C: SAS Institute.
Whittington, R., & Delaney, P. R. (2013). Wiley CPA exam review 2013. Software implementation techniques. Hoboken: Wiley.
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About the AuthorWinnie Melda
Joined: December 7th, 2017
Articles Posted: 364
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