Custoplus makes data analysis easy with its beautiful auto ml backend and smooth ui in the front end. Bring your excel sheets and do the analysis yourselves.
Head over to https://custoplus-official.herokuapp.com/ to use Custoplus.
Problem understanding ? Head over to https://youtu.be/TqWR0ppe_Cc for a detailed explanation on the usage
Startups are growing in India and abroad. With the founders hustling to increase their customer network , meaningful data analysis will help them underdstand their target customers and give them insights on customer retention. But then data analysis and predictive understanding becomes a bit tough for persons in the business side of the organizations .Hiring a data scientist / data analyst or engineers is not always feasible and cost friendly to the new born companies. Whats the solution ?
Hola ! Open up custoplus , upload your data and analyse your data with our exploratory data analysis pipelines. Whats more ? Well with numerous pre built plots with the click of a button you get full insights on customer behaviour based on region, age, gender, credit card usage and lot more depending on your columns.
Most importantly custoplus integrates machine learnine pipelines of knn,random forest and svm to predict if any new customer will stay or not based on other parameters.
Auto ml and Auto Data Analysis requires a lot of brainstorming. A solution that works for one dataset may not work for the other . The main challenge we faced was integrating Custoplus to be flexible with all datasets . We have used intelligent solutions in the backend taking parameters like column data type, unique values , nature of values,mean among others to help in automation. Nan Values and outliers have been dealth with in a quite different way . The next problem comes to handle errors when it comes to different types of datasets .
Automatic systems can never replace the human brain. But it can be a cost effective solution to small scale organizations to understand their network before they go on to hire analysts.