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CRISP-DM Interview Questions & Answers

  • September 13, 2022
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Bharani Kumar Depuru is a well known IT personality from Hyderabad. He is the Founder and Director of Innodatatics Pvt Ltd and 360DigiTMG. Bharani Kumar is an IIT and ISB alumni with more than 17 years of experience, he held prominent positions in the IT elites like HSBC, ITC Infotech, Infosys, and Deloitte. He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence and Business Management. Bharani Kumar is also the chief trainer at 360DigiTMG with more than Ten years of experience and has been making the IT transition journey easy for his students. 360DigiTMG is at the forefront of delivering quality education, thereby bridging the gap between academia and industry.

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  1. What is the key objective of outcome expected from business understanding phase of CRISP-DM?

    The key outcome expected from the business understanding phase is to understand the business side of the problem to be solved. This is extremely important because from the business problem one has to deduce the technical data related problem. Alongside, this one has to define SMART criteria for both customers as well as the Data Science team. SMART stands for Specific, Measurable, Achievable, Relevant, Time-bound.

  2. What are the key deliverables expected from business understanding phase of CRISP-DM?

    The Project Charter, which has all the details at a high level is the key deliverable expected from this phase. This document contains high-level requirements, a summary milestone schedule, summary budget, acceptance criteria to measure the success, assumptions, constraints, high-level risks, etc.

  3. What are the key points in defining Data Mining problem?

    Key points: 1. Understand what are the various algorithms which are suitable in solving the problem 2. Understand the existing data pipeline or data architecture to understand the flow of data 3. Understand not only As-Is architecture but also To-Be architecture 4. Define the acceptance criteria in deciding the success of the project.

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