The BADIR (pronounced /ˈbaːdɪr/) is a structured data science and data analytics process designed to enhance data-driven decision-making within organizations by addressing both analytical output as well as usefulness to management. It was developed by Piyanka Jain and Puneet Sharma and first published in the 2014 book “Behind Every Good Decision”.
3-551: The BADIR Framework employs a hypothesis-driven approach that involves understanding business objectives and challenges, analysis planning before acquiring and ensuring the quality of relevant data, applying analytics to derive insights and the potential impact on the business challenge, developing actionable recommendations aligned with strategic goals, and implementing decisions while monitoring outcomes and making necessary adjustments. The BADIR Framework consists of interrelated components essential for decision-making. Its main assertion
6-528: A five-step process to streamline and simplify data analysis in business environments. According to Jain, the framework's focus on defining the business question early is said to optimize up to 80% of a business leader's workflow by reducing guesswork and concentrating efforts on strategic goals. IMA's Strategic Finance magazine compared the framework to the scientific process in terms of its approach to data analysis, and noted its ability to improve cross-departmental efficiency. The framework has been recommended for
9-500: Is that if data analytics does not drive business impact, then it is just statistics, not analytics. The acronym in the framework stands for the following 5 steps: Piyanka Jain, a data science expert with experience at Adobe and PayPal, developed the BADIR framework to address the need for more structured data analytics methodologies. Observing that data-driven decision-making was often seen as complex and inaccessible, Jain designed BADIR as
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