I Telenet Engineering Solution

Do you use a Data Cleaning Checklist or just go through the motion to get it ready? Here are a few questions you should ask to make sure your data is ready and reliable: 🔹Is my data unbiased? 🔹Is my Data up-to-date? 🔹Are there missing values, and what are the causes? 🔹Are there erroneous values? 🔹For each field (input or target), does my data have the same unit? 🔹For each field (input or target), is the meaning of my data consistent? 🔹Is the same value recorded in the same way everywhere? 🔹Are there any duplicates? 🔹Are all sources of noise removed from my data? 🔹Have I identified and removed sources of data leakage? 🔹Are there any obvious outliers? Any other questions I should ask? Shout out to Robin, CEO of Itelnet for providing a service that makes data consistent and reliable, giving data scientists 80% of their time back so they can focus on creating value for their business.