Repeat This Daily:
I will remain focused on my goals. Even if I have a moment of difficulty, I will not give up. I know success comes with consistency. I know that I will make it. Things will get better. No problem or challenge will stop me. Everything I deserve is coming my way.
Here I am again to say thank you to @AskMichaelTaiwo and @KoleOchayi, for the renewal of my Claude Ai subscription and the Mobile Data.
This is huge and timely, I do not take it for granted. God bless you Sir
THINGS YOU MOST LIKELY WILL NOT REGRET DOING
Studying more. Drinking more water. Being more honest. Going to bed early. Meditating more. Quitting a job you absolutely hate. Being kind to a stranger. Taking a break when you need one. Looking after your body. Crying when you need to. Putting yourself first. Leaving your comfort zone. Hugging someone you love. Trying out new things. Telling your loved ones how much you care. Taking care of your mental health. Trusting your intuition.
Here I am again to say thank you to @AskMichaelTaiwo and @KoleOchayi, for the renewal of my Claude Ai subscription and the Mobile Data.
This is huge and timely, I do not take it for granted. God bless you Sir
the most dangerous errors in data are not the ones that break your formula.
a #N/A or #VALUE! error is obvious. you see it immediately. you investigate.
the dangerous ones are the errors that let everything run smoothly and quietly return the wrong number.
Yesterday, I was updating my daily report and observed my dashboard was showing zero sales for a distributor I knew was active.
the formula was fine.
the problem?
one extra letter S in a manually entered name.
here is what happened and what every analyst needs to know 🧵
Started my new role as a Sales Analyst.
Day 1: "We use Google Sheets here."
Me internally: 👀
Me few hours later after DataCamp courses: comfortable☺️.
If you know Excel, Google Sheets is not a new language. It's a new accent💯.
a zero that looks like data. a total that looks reasonable but is missing a record. a dashboard that looks clean but is built on a typo.
always interrogate the results that feel wrong even when they look fine.
the most dangerous errors in data are not the ones that break your formula.
a #N/A or #VALUE! error is obvious. you see it immediately. you investigate.
the dangerous ones are the errors that let everything run smoothly and quietly return the wrong number.
field reps enter distributor names manually during data input.
one entry had an extra S at the end of the name.
the master list had the correct spelling. the input data had the wrong one.
no match found. no distributor code returned. sales collapse to zero. dashboard stagnant.
Yesterday, I was updating my daily report and observed my dashboard was showing zero sales for a distributor I knew was active.
the formula was fine.
the problem?
one extra letter S in a manually entered name.
here is what happened and what every analyst needs to know 🧵