Increasing Your Domain Knowledge: Types Of Mistakes Every BA Should Know About
/Gaining domain knowledge (the knowledge of business functions) can be challenging, especially for business analysts attached to the Technical Department. Due to the fact that they spend most of their time with developers, there’s little room to really understand how the business works as much as key business stakeholders do.
Such BAs have to rely on the information provided by stakeholders to continue to update their knowledge. It’s a never-ending cycle.
As a result, mistakes on the job are bound to happen.
What’s most important however, is to learn from these mistakes by educating yourself or changing your approach.
This piece provides information on categories of mistakes and how you can rise above each one on your way to becoming a well-rounded professional. It's based on the ideas culled from the article, Why Understanding These Four Types of Mistakes Can Help Us Learn.
1. Stretch Mistakes
This is the type of mistake that occurs when you try to do what is beyond your current capabilities. When people pick up new skills or learn new concepts, they are bound to make errors. When you make an error of this kind, adjust your approach and challenge yourself again. It’s all part of learning and growing.
2. Aha-moment Mistakes
In this case, you meet the intended goal only to realise that the outcome is unintended. For example, you may have thought that automating a process would make it work faster only to create bottlenecks in the workflow due to the process design.
3. Sloppy Mistakes
This happens when you do wrongly what you already know how to do. It may be an indication that you need to enhance your concentration, habits and practice.
4. High-Stakes Mistakes
With some tasks, the importance of minimizing mistakes cannot be overemphasized. Imagine you have been practising for a presentation to the board. You would want to put your best foot forward at all times and avoid making high-stake mistakes. Mistakes can be minimised as much as possible through regular practice.
What other mistakes do you make on the job?
Reference: Why Understanding These Four Types of Mistakes Can Help Us Learn
Picture Attribution: “Right And Wrong Computer Keys” by Stuart Miles/Freedigitalphotos.net
Businesses in the digital age depend on data to improve their goods and services and increase sales. Data science is the study of extracting meaningful information from massive volumes of data obtained from several sources due to increased data usage.