Interim Report Guidelines Submission of an Interim report for the Capstone Project is mandatory. Interim reports are evaluated by the Program Director/ Evaluator and are provided with necessary recommendations for revision. To have effective comments from the reviewer and to avoid unpleasant surprises during final presentations, it is strongly recommended that project teams share preliminary results in their interim reports. Objective of evaluation of the Interim Report is to check That team has understood the business problem That the project is on track That analytical reasoning and technology applied are appropriate That interim results are aligned to business expectation It is expected that teams have completed fair amount of work (50% or more) by the time Interim Reports are submitted. Reports containing inadequate amount of work will score low. Contents of Interim Report An Interim Report may be of 15 – 20 pages (excluding the cover page and appendices). Interim Report is a stand-alone document which must contain the need of the study, objective and scope of the project and anything else that is required to clearly understand the progression of the project to date. Standard Instructions: All pages must be numbered. Tables/figures/charts/graphics (if any) must have number and title. Groups must make sure visualizations are clearly read at usual magnification and add value to the Report All visualizations must be clearly labeled. All axis labels and legends must be legible. Tableau graphics default mode is not always conducive to normal copypaste. Proper adjustment may be required. 1|Page All raw codes and raw outputs must be in Appendix. Illegible graphs and raw codes and raw outputs in the body of the report will mandate heavy penalty. A good Interim Report contains information on Introduction – Give relevant details about the project, industry, company, and a need of the present study Scope & Objectives - Define the core problem statement and list down the objectives of the project. Ideally here you will state the overall objective and break it down into the steps that you are going to follow to achieve the objective. Scope defines the boundary of the project. Clearly mention what is within scope and outside scope of the project. Establish the fact that you have understood business / social opportunity, state how the study / project helps the stakeholders. Processing of the data – All details about the data must be provided. Brief indications for data challenges and data processing details, including information about all data attributes including any special characteristics, report on missing data, nature of attributes (variable info, renaming if required), report on invalid values and outliers, treatment of missing, invalid / outliers, identification and removing unwanted variables, variable transformations etc. with your comments must be mentioned. Exploratory Data Analysis (EDA) – EDA is done with the objective of understanding the data better by using insightful visualizations so that logical steps to model building follows. Tables/figures based on EDA should draw out relationships among the variables. Clearly mention what insight you derive from them. Note that the insights from EDA must be used for model building. Modeling Technique – Interim reports are not expected to include final results but for effective feedback you must provide interim results. For example, if you are working to predict a binary response variable, it is not enough to state that you will be using logistic regression and CART. You need to write the basis for your model selection, prove that the model assumptions are satisfied, show the model parameters & goodness of fit for the model, choice of appropriate model performance measures, compare the model performance measures for both training data & test data to prove that your model does not overfit. You should include logistic regression model output (including McFadden R Square, significant independent variables at the specified level of 2|Page significance (for example, 5%), estimates of coefficients, Odd’s ratio / probability with interpretation); CART output (model parameters, pruned tree, variable importance plot with your interpretation). It is strongly encouraged that you try to garner insights into the problem and mention next steps, keeping the final recommendations into view. Recommendations & Applications - Students should clearly mention the expected outcome of the project and what are the possible applications of them. References and Bibliography - Details about any reference books, articles, web resources etc. that are to be used for the project. A good Interim Report should be comprehensive, readable, informative and will adhere to all the above recommendations to score high on evaluation. Non-adherence to the Guidelines will lead to penalty. For more recommendations on how to write a professional report, consult Guidelines on Capstone Report & Presentation 3|Page