Data Handling And Business Intelligence


Data collection is an integral aspect of an organization which needs to be improved by adopting the best appropriate data handling tool. Weka software has been selected as one of the major components in the enterprise. The selection of Weka software will be beneficial for an enterprise owner that guides the business entity in handling of data properly by applying various measures. The current project report is all about explaining excel and Weka software in relation to each other. The practical application of the Weka software has also explained properly by the business entity. The decision tree and cluster analysis are explained properly by defining various variables affecting or improving the performance of the business entity.


Benefits of Excel with respect to pre-processing of data

Excel is regarded as one of the important software used to present the overall data into spreadsheet forms (Kalmegh, 2015). The calculations are electronically performed using this type of software which is used commonly in processing raw data into finished form. There are various benefits enjoyed by this software in relation with the pre-processing of facts and figures which are given as below:

Systematic arrangement- 

The large number of data is arranged into systematic and chronological order which assist the top management in analyzing the facts and figures (Rao and Reddy, 2014). The haphazard data will create trouble for the owner in combining all data together in one form of data. There are various functions in excel which simplifies the large set of data by prioritizing the    highly important information from the worst set of facts and figures.

Data analysis- 

Excel uses different functions whose primary motive is to analyze the data as it is regarded as one of the important tool of data scientists. The facts and figures are collected to analyses its accuracy by applying monetary measures (Saxena, 2015). The researchers will use different set of data by dividing the values into the group of data. The use of conditional formatting is one of the option in which the data will be pre-processed the values enter in the analysis. The identification of the values will further helpful for an entity in order to form good business decisions.

Effective comparison- 

The current tool is efficiently used by an entity owner in order to compare the previous entered data with the latest facts and figures. The facts and figures will be analyzed properly in order to predict trends and patterns to ensure the accuracy of decisions. The application of excel will be used in summarizing the data which enhances the structure of overall data.

Relationship among data-

 Excel will help in forming relationship between various rows and columns in order to link all the spreadsheets together in order to produce good amount of results. The final decision of an entity will totally base on the analysis conducted by an individual in testing the accuracy of the information.

Strength of Excel in analysis of data

The analysis of set of values is possible with the help of various functions of Microsoft excel (Rianse, 2015). The functions of MS Excel are further classified into the various categories such as normality function and advance functions. The normal functions emphasize on the basic calculations such as mean, median and sum of facts and figures entered in form of data in this analysis. On the other side, the advance function includes VLOOKUP and HLOOK UP. The selection of the best suitable technique is on an individual in order to analyses the set of data. The functions of this software has further segmented into two basic divisions such as financial and non-financial or we can say that statistical and non-statistical tools and techniques (Saxena, 2015). The statistical measures include annova, T-test, correlation, regression, histogram and Z-test. Non-statistical methods will include LOOKUP and INDEX which is another name of analyzing of data. The variety of measures used by an entity owner in order to observe the current set of data in relation with the application of different techniques which are given

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