Shitty Data Analysis Because You Dont Have To Show Your Work On Your Own Blog Page 2

By switzerlandersing On Sep 12, 2025

Nine Common Data Analysis Mistakes And How To Avoid Them | DashThis

Nine Common Data Analysis Mistakes And How To Avoid Them | DashThis I get frustrated when i work with people who think the data is always going to "say something." there are plenty of times where data can't say anything or it says nothing. people think you're not doing your job when the data can't speak to a desirable answer. You often hear the data being blamed when an analysis is not delivering the answers you wanted or expected. i was recently reminded that the data chosen or collected for a specific analysis is determined by the analyst, so there is no such thing as bad data—only bad analysis.

Why You’re Data-rich And Insights Poor | Analytics & Insights

Why You’re Data-rich And Insights Poor | Analytics & Insights If you don’t share the sanity checks you did, the audience has to assume they have to check your work on the spot. you can do this visually on a slide by showing how both top down and bottom up approaches get to the same result, or comparing your data against benchmarks. In this article, i’m sharing the top five data analysis mistakes that made me look less like a data professional and more like an amateur. If you do not have sufficient data, you should not even run the analysis if you do so, you are more likely to accept the results if they are what you "expect" and discard them otherwise. In this article i will talk about and give examples of: signs you have bad data floating around your organization. reasons why misleading data and analytics are produced and consumed by companies. how organizations can improve their data analytics and get better value out of it.

Analysts Beware: 6 Common Causes Of Incorrect Data Analysis | Pecan AI

Analysts Beware: 6 Common Causes Of Incorrect Data Analysis | Pecan AI If you do not have sufficient data, you should not even run the analysis if you do so, you are more likely to accept the results if they are what you "expect" and discard them otherwise. In this article i will talk about and give examples of: signs you have bad data floating around your organization. reasons why misleading data and analytics are produced and consumed by companies. how organizations can improve their data analytics and get better value out of it. In this blog post, we explore six common mistakes that can lead to flawed data analysis, and then share insights on how you can recover from such mistakes and avoid them in the future. Learn how to spot bad data, exploring why data quality matters, the cost of poor data, and the 10 signs of bad data. improve your data skills today!. Take a deep breath, you'll get through this. everyone here experiences imposter syndrome. especially when you're brand new and the stakes feel high. no reasonable employer is going to expect a brand new data analyst to totally understand everything in just 2 weeks. To ensure you have the right data for machine learning, you must have an aggressive, well executed quality program. it requires the leaders of the overall effort to take the following five steps:.

Content Marketing Analytics - How To Identify Successful Blog Posts | Smart Insights

Content Marketing Analytics - How To Identify Successful Blog Posts | Smart Insights In this blog post, we explore six common mistakes that can lead to flawed data analysis, and then share insights on how you can recover from such mistakes and avoid them in the future. Learn how to spot bad data, exploring why data quality matters, the cost of poor data, and the 10 signs of bad data. improve your data skills today!. Take a deep breath, you'll get through this. everyone here experiences imposter syndrome. especially when you're brand new and the stakes feel high. no reasonable employer is going to expect a brand new data analyst to totally understand everything in just 2 weeks. To ensure you have the right data for machine learning, you must have an aggressive, well executed quality program. it requires the leaders of the overall effort to take the following five steps:.

7 Signs Your Company Needs A CRM System

7 Signs Your Company Needs A CRM System Take a deep breath, you'll get through this. everyone here experiences imposter syndrome. especially when you're brand new and the stakes feel high. no reasonable employer is going to expect a brand new data analyst to totally understand everything in just 2 weeks. To ensure you have the right data for machine learning, you must have an aggressive, well executed quality program. it requires the leaders of the overall effort to take the following five steps:.

Overcoming The Challenges Of Cleaning Dirty Data (2024) | Visier