data visualization to the end user javascript-based dashboards are perfect for quickly granting access to your data science results because they only require the user to have web browser alternatives existsuch as qlik (crossfilter is mapreduce libraryone of many javascript mapreduce librariesbut it has proven its stability and is being developed and used by squarea company that does monetary transactions applying mapreduce is effectiveeven on single node and in browserit increases the calculation speed dc js is chart library build on top of js and crossfilter that allows for quick browser dashboard building we explored the data set of hospital pharmacy and built an interactive dashboard for pharmacists the strength of dashboard is its self-service naturethey don' always need reporter or data scientist to bring them the insights they crave data visualization alternatives are availableand it' worth taking the time to find the one that suits your needs best there are multiple reasons why you' create your own custom reports instead of opting for the (often more expensivecompany tools out thereno budget--startups can' always afford every tool high accessibility--everyone has browser available talent--(comparativelyeasy access to javascript developers quick release--it cycles can take while prototyping-- prototype application can provide and leave time for it to build the production version customizability--sometimes you just want it exactly as your dreams picture it of course there are reasons against developing your own applicationcompany policy--application proliferation isn' good thing and the company might want to prevent this by restricting local development mature reporting team--if you have good reporting departmentwhy would you still bothercustomization is satisfactory--not everyone wants the shiny stuffbasic can be enough congratulationsyou've made it to the end of this book and the true beginning of your career as data scientist we hope you had ample fun reading and working your way through the examples and case studies now that you have basic insight into the world of data scienceit' up to you to choose path the story continuesand we all wish you great success in your quest of becoming the greatest data scientist who has ever livedmay we meet again someday ;