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Reproducible Analysis for MIS and Finance with R

Month end reporting time is always tough. Despite having generated the reports for years; it always takes significant effort to produce the report - if anything it just gets tougher. The effort to generate the report is so taxing, that the team hardly finds time for value added work. This leaves frustrated employees, disappointed stakeholders; and the functions value erodes over time.

Does it always have to be this way?

Enter the method of reproducible analysis - where the reports are generated at a button click. The manual tasks of data acquisition, cleaning and generation are scripted once. Once the team has the right method & skills, this can accommodate the new MI demands that keep coming in.

In this course, we will understand the science behind reproducible analysis using the R tool. Besides the tool, we will appreciate how to skills and organise the team to make this a sustainable model of operation. This course is meant for finance / MI professionals and programming experience (although an advantage) is not strictly required.

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Course Code: CRS-N-0041877

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Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

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Course Details

Module 1 - Introduction to Reproducible Analysis

  • Challenges of the MI/ Finance function 
  • Reproducible Analysis - The concept

Module 2 - Case Study - Monthly Reporting

  • Understanding the Report Requirement 
  • Team, Process & Roles 
  • Data Acquisition 
  • Data Preparation 
  • Report Generation and Presentation

Module 3 - Introduction to R for Reproducible Analysis

  • Tool Introduction 
  • Getting Data 
  • Cleaning Data 
  • Exploratory Analysis 
  • R Markdown reproducible documents

Module 4 - Key Success Factors of Reproducible Analysis

  • Script everything 
  • Script and Report - hand in hand 
  • Team Organization

Module 5 - Implementing Reproducible Analysis - Challenges and Strategy

Who Should Attend

  • MIS / Finance team managers 
  • MIS / Finance professionals 
  • CFOs
  • Anyone with a reporting component in the role


Prior experience within a reporting function is preferred.

In terms of technical skills, programming OR data handling experience is an advantage (though not strictly required).


R TrainerGaurav Chaturvedi is the Lead Data Scientist with a leading bank in Singapore. He has 15 years of experience - as a Consultant leading transformational projects. His hands-on experience with data / technology as well as an appreciation of business enable him to problem solve effectively.

R TrainerAnshuman Srivastava has over 7 years of experience as a Data Science practitioner and Data Science Consultant in various domains like Healthcare, Life science, Workforce ,call center and operations,He has managed and lead various data science projects/products involving cross functional teams across geographies Currently he is purusing hie Mtech in IT leadership form NUS before joining NUS he was working with Cognizant technology Solutions as senior Data Scientist. He has five external certifications in data science and is also a certified product owner . He has not only designed and written data science algorithm but also has experience in building digital products

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