Memuat
Memuat
We carry out business data analysis with RapidMiner Studio for Business Analytics coursework, Management theses and business needs: customer segmentation (RFM), churn prediction, market basket analysis, sales prediction and forecasting, credit scoring, review sentiment analysis, employee attrition prediction, transaction anomaly detection, and promotion campaign response. You receive a process that can be re-run, evaluation figures, and an explanation ready to present.
Grouping customers with RFM and k-means, then estimating who will respond to promotions.
Predicting customers or employees likely to leave, with the main contributing factors.
Products bought together, sales prediction with regression, and monthly sales forecasting.
Customer credit scoring, review sentiment analysis, and detection of unusual transactions.
Ten business analytics projects built in RapidMiner. Open any of them to see the process flow, dataset and results you can expect.
BeginnerSegmentation (Clustering)Customer Segmentation with RFM AnalysisGroup 1,500 customers into valuable segments with K-Means. 3 viewsView example
BeginnerClassificationCustomer Churn PredictionSpot customers about to leave before they actually go. 1 viewsView example
IntermediateAssociation RulesMarket Basket Analysis with FP-GrowthFind items often bought together to arrange shelves and design promo bundles. 1 viewsView example
BeginnerRegressionSales Prediction with Linear RegressionMeasure how much advertising, price, discounts and season move sales. 1 viewsView example
IntermediateForecastingMonthly Sales Forecasting with Time Series DataForecast next-month sales from earlier months and last year's season. 1 viewsView example
IntermediateClassificationCustomer Credit ScoringPredict customers at risk of default and compare two models using the confusion matrix and ROC. 1 viewsView example
AdvancedText MiningProduct Review Sentiment AnalysisTurn Indonesian customer reviews into positive or negative sentiment. 1 viewsView example
AdvancedClassificationEmployee Attrition PredictionIdentify employees at risk of leaving and the factors that drive it. 1 viewsView example
AdvancedAnomaly DetectionSuspicious Transaction Detection for AuditSet aside unusual transactions from thousands of vendor payments so auditors can focus. 1 viewsView example
BeginnerClassificationPredicting Customer Response to a Promotion CampaignChoose who to contact so the campaign budget yields the most responses. 2 viewsView example18 Ready to work
Share your needs, goals, and deadline. Free with no commitment.
We will send you a transparent cost and time estimate.
Done in stages with regular progress updates.
Files + documentation are delivered, revisions included in the package.
Customer segmentation (RFM), churn prediction, market basket analysis, sales prediction with regression, monthly sales forecasting, customer credit scoring, review sentiment analysis, employee attrition prediction, transaction anomaly detection, and promotion campaign response. Examples of the results are in the finished work block on this page.
Yes. Send your data (we keep it confidential) and the process is adapted to your attributes and analysis goals. If you do not have data yet, we help prepare a practice dataset.
Yes. The deliverable comes with the process flow, evaluation figures and an explanation that is easy to present to examiners, in line with Business Analytics or Data Mining courses.
RapidMiner is more visual and requires no coding. The data mining process can be explained through an easy-to-understand workflow diagram for examiners. However, for higher flexibility, Python remains superior.
Projects such as segmentation or churn prediction are usually done in 3-5 working days; analyses with text data or several comparison models can take 5-10 working days.
Free consultation, transparent pricing estimate, and work by experienced team.
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