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Some 80% of work on data projects is data preparation. Yet, most people pay little attention to it, jumping straight to analysis. Using poor quality data or poorly understood data leads to poor data analysis. Or, to quote an old industry adage, “garbage in, garbage out”. This video addresses this issue by raising awareness and providing general data preparation guidelines, so you have top-notch data quality. Let’s jump right in! LIST OF RESOURCES ____________________________________________ Resources mentioned in the Video: https://hubs.la/Q012KXYV0 ____________________________________________ Data quality is so important in analytics that there’s an adage for it: “garbage in, garbage out!”. In spite of this, dirty data seems to be a prevalent problem. We reduced the data prep process to three main dimensions: Data Understanding Data Preparation, and Statistical Preprocessing 1) Data Understanding First things first, you need to familiarise yourself with the data. The main things to consider are the data source, biases, and missing data. 2) Data Preparation If there are some obvious mistyped entries, try to fix them first. For the missing data, see if you can fill it in. There’s no one-size-fits-all when it comes to dealing with missing data - what’s key is that your choices are backed by strong logical reasoning, and all your assumptions are noted down. 3) Statistical Preprocessing This can range from simple applications, like replacing a missing value with the average, to advanced statistical methods. __________________________________ Documentation is a critical component of good quality data. To put a stop to the bad-data cycle, you‘ll need to document all of the transformations in a data dictionary. If the above sounds like a lot, that’s because it is. It is estimated that somewhere between 50 and 90% of the time taken to complete an analytics project is spent on preparing the data. That’s a lot! But without it, you risk performing a flawed analysis - remember? Garbage in, garbage out! Getting data preparation right is key to high data quality and high-quality data analysis. ____________________________________________ We hope this video will help you and your team with accessing and preparing the data for analysis. Hit like, subscribe and share any comments. And don’t forget to download our Data Preparation Guide - link above! ------------------------------------------------------- Are you ready to bring your or your team’s performance to the next level? After years of research and testing, we’re releasing a brand-new Growth Tribe platform featuring a library of 500+ hours of cutting-edge digital content. It’s the only platform you will need to stay ahead of the digital game. Start a free demo here! https://grow.ac/demo What can you expect? Pick one of the 15 internationally recognised certificates in Growth & Marketing, Data & AI or Business & Innovation Choose from 100+ on-demand modules in our extensive and refreshed library Receive 24+ micro-learnings to stay up-to-date with the most recent professional developments in your field Connect with industry experts and get personalised guidance anytime Get access to 80+ downloadable resources, including frameworks and templates Personal coaching to accelerate your career Find a new or better job through our job board Attend exclusive community events to network with like-minded people Find more information here: https://grow.ac/membership Under a team plan (5+ members), you can take advantage of blended learning, combining self-paced online modules and live sessions led by expert trainers. Need a more personalised approach for your team? We offer a customised learning journey where we'll identify knowledge gaps and create a tailored solution that drives your business results. Find more information about team plans here: https://grow.ac/teams-membership Check out our blog for articles, reports, resources and webinars. → https://grow.ac/growthtribe-blog You can also follow us on Social Media here for even more learning materials: LinkedIn: / growth-tribe Instagram: / growthtribe Facebook: / growthtribeio Twitter: / growthtribe Video URL: • Data Quality: Getting Data Preparation Rig... #growthtribe #data #datadriven #learning #datacourse #dataanalytics #dataquality