The analytics business problem solution
The analytics business problem solution is a concept that enables businesses to understand their problems. Understanding and coming to terms with a problem is the first step toward problem-solving. For our case, we will need a range of three data sets for a successful and productive move to an online system. The first and most important set of data will be for clients. The clients are the children who get enrolled in the school. The change of the system to a single integrated program need to have all the data on the old and new children in all functions of the coalition. Another necessary data is the ability of all the stakeholders to use the platform. This category will include having qualitative research on familiarity with the new system. The last data set necessary for the case is efficiency tracking for the first six months of implementation. This category of data will enable the institution to track the effectiveness of the new system.
The data of clients can be obtained from numerous sources. The first one is the admission, the records for all the students should be digitally encrypted to assist in future activities like online payments, and so on. The other way of getting the data is to provide specific information on mandatory requirements whenever the children are registering online. Getting the data of usability of the platform by the stakeholders and staff is by conducting internal surveys. A survey can be done immediately after implementing the system. All the stakeholders should be made aware of the change and be taught something about it. One month into effecting the new online system, efficiency tracking exercise can be carried out to determine its effectiveness. The implementation team should survey the board and record the findings. The three data sets should be obtained under specific timeframes for more straightforward problem analysis and solution.
Data of the children obtained from admission and online registration is counted data – discrete. It will bear the total number of children who have been enrolled in the programs. The set will assist in coming up with strategies for convenient handling and management. When determining usability and familiarity of the system, the data findings will be measured. The survey will involve a series of questions about the system and the experience each user will have had with it. Results from this area will bring other ideas of areas that need improvement and so on and will be countable. Effectivity of the system can be determined using a survey of the system after some time of application. It can be aligned to show effectivity in terms of countable numbers after analysis within the first few months of implementation. The dynamic environment of these sets will provide room for improvement.
Obtaining the data of all the children within the system will be relevant in solving the online payment and enrolment problems. The system will be able to predict the next number of children likely to enroll in the new intakes using past data. Online payment will be improved if the institution knows the number of payments it should handle and adequately prepare for it. Usability and effectivity assessment will enable the implementation team to make necessary adjustments on the system. The qualitative nature of usability data will correctly utilize negative feedback to make changes wherever significant within the system. The quantitative outcome of the children’s data and the efficiency of the system will assist in providing a more robust and more reliable interface to handle a specific amount of data. It will ultimately improve accuracy and provide room for greater objectivity of the milestone.