SAP Training: Boosting Decision Making in Businesses - Essay Sample

Introduction

In an effort to bolster up decision making associated with objectives attainment in business enterprises. The German company SAP SE developed business information systems (SAP training), a subject that makes a combination of database management, instruction in business training, and human resource software management to process data. In business, there is the processing of huge amounts of data, dependent on the requirement of data analysis and stages of the workflow (Lin, 2014). The four kinds of analytics to use to know everything about the company include; Tthe descriptive, diagnostic, predictive, and prescriptive analytics. The essay will reflect on the four kinds of analytics explaining the types of analytics that would be relevant for managing the online-learning portion of SAP training.

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The types of descriptive analytics that are relevant for managing the online-learning portion of SAP training are the cost of operations in training, frequency of events happening, and the main reasons for failures in training. From such descriptive analytics, the management can utilize business intelligence and data analysis to ask, "What happened?" (Lin, 2014). It is from the data analysis attained that it gives the necessary information on past or happening events that can provide the management, the context they require for future measures.

On the other hand, for diagnostic analytics, I believe the type of analytics that would be applicable for managing the online-learning portion of SAP training is the comparative analysis. Human Resource Management can use this kind of data analysis to decide on the prospective candidate from the chosen characteristics, thus develop the appropriate reaction to the situation and chose the right students for the training. The other type is the probability analysis. It is applicable to manage the online-learning of SAP training as it will also determine the patterns or trends in a particular talent pool over many categories like certification or competence, thereby chose the required students for this training.

If questioned, I would say the use of predictive analytics is much applicable for managing the online- learning of SAP training. It uses types like trend analysis, classification analysis, affinity analysis, segmentation, data and time series forecasting, all analyses data from various techniques ranging from cluster charts to decision trees (Larose, 2015). In turn, it composes using the open-source statistical programming language, the pre-built predictive algorithms. The management in SAP training can use the algorithms to visualize and make analysis on the data, later arrange in a pattern the predictive models thus conduct the complex analysis to make future predictions for the training.

The online-learning portion of SAP training can also use types of prescriptive analytics that analyze "what to do" in the future. The models include; modeling procedures, selection of machine learning algorithms, and processes of particular business rules and regulations (Pospieszny, 2017). In digging into such type of data, the SAP training management can be presented with possibilities, options, and opportunities to work within many scenarios.

Virtually, in my opinion, I anticipate the four types of data analytics; descriptive, diagnostic, predictive, and prescriptive as critical technologies in enterprise operations. Data processing offers data, while data analytics assists in gaining significant insights from the data, thereby integrating them into processes in the business. For online-learning of SAP training, the type of descriptive analytics applicable is the cost of operations in training, frequency of events happening, and the main reasons for failures in training. Diagnostic uses types as comparative and probability analysis in analyzing data. In my view, predictive analytics happens to be the best applicable in SAP online training as it uses trend analysis, classification analysis, affinity analysis, and segmentation for future predictions. Lastly is the prescriptive analytics with the types like modeling procedures and selection of machine learning algorithms, thus manage the online learning of SAP training.

References

Lin, N. (2014). Applied business analytics: Integrating business process, big data, and advanced analytics. FT Press.

Larose, D. T. (2015). Data mining and predictive analytics. John Wiley & Sons.

Pospieszny, P. (2017, October). Software estimation: towards prescriptive analytics. In Proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement (pp. 221-226). ACM.