Why Excel Matters (And Pitfalls to Consider)

Pro's and con's to this ever popular data tool

Hey everyone šŸ‘‹

Letā€™s talk about Excel.

Itā€™s quite a polarizing tool. Some love it. Some hate it. And itā€™s been the butt of many a data joke.

Donā€™t believe me? Check out these memes.

Funny, right? And honestly kinda true.

But with all its limitations, I still believe it is a foundational tool that every data analyst should become proficient in.

The reason?

Itā€™s still a staple tool for so many businesses. Let me humor you with one more memeā€¦

All roads really do lead back to Excel at some point.

So itā€™s a good idea to get comfortable with this tool.

Excel was the gateway tool for me in my transition to analytics.

In my corporate job before data, I wanted to get really good at Excel to stand apart from the crowd. And I did.

When I got my first Business Analyst job, these Excel skills came in WAY handy and blew my boss away, even though I was still using other tools in the role regularly.

So Iā€™d like to explain some key reasons why you should invest time in getting good with Excel.

But Iā€™d also like to mention some things to watch out for.

Pros

1 | Excel formula logic will make learning other coding languages easier

A lot of formula logic that you see in Excel carries over into other coding languages.

Aggregations, IF and nested IF statements, even joins (equivalent to XLOOKUP in Excel). While the syntax will usually be different between tools, the logic is often very similar.

Developing skills with Excel formulas sets a great foundation for any analyst.

2 | Itā€™s incredibly versatile

You really can do just about everything in Excel. I like to call it the Swiss Army Knife of data. You can create dashboards, perform exploratory analysis, clean data, code with VBA, and now theyā€™ve even introduced Python into Excel.

While certain stand-alone tools may be more powerful at specific functions, Excel can do a pretty decent job at most things. Itā€™s the ultimate ad-hoc analysis tool.

Skills in Excel visualization, conditional formatting, and Macros can go a very long way in impressing your manager and colleagues.

3 | Itā€™s not going anywhere

Excel is the most widely used data tool, and itā€™s used for literally everything. As the memes above suggest, itā€™s carrying a lot of weight worldwide. And when youā€™ve seen what Iā€™ve seen behind the veil of some companies, you know that itā€™s not going anywhere any time soon.

Things to Consider

1 | A lot of companies over-invest in it

A couple of those memes above ring true here. Many companies often cling to Excel long after theyā€™ve exceeded its limits. Iā€™ve witnessed this firsthand but friends of mine who are consultants see it all the time too.

Itā€™s easy to get comfortable with Excel and a lot of companies hang on to it because itā€™s what they know, even if itā€™s no longer the best tool for the job.

2 | Itā€™s powerfulā€¦.but not that powerful

Excel has many limitations. Its row count is just over a million (see the meme above), but it starts slowing down well before that row number.

It really canā€™t hold that much data and it starts crashing once it begins reaching its threshold.

When you think about it, itā€™s just a simple spreadsheet tool, but people often treat it like a database or information hub; dumbing tons and tons of data into it when it was never meant to hold that much.

Excel is great, but understand that it has its limits.

3 | Itā€™s easy to hide behind

This one might sting a little, but itā€™s a bit true. I was a bit guilty of this early on as well. A lot of new and aspiring analysts will wave the Excel flag high when they donā€™t have that much working experience with other tools.

Not necessarily a bad thing, but when you begin experiencing other tools in real business scenarios, it shapes a more holistic view of the modern tech stack.

But at the end of the day, itā€™s not the tools that make the analyst. Even if you just use Excel, you are still a data analyst. No gatekeeping here. My encouragement is just to broaden your horizons as much as you can.

PS - Getting ready to release my first Youtube short šŸ˜± Itā€™s not much, but Iā€™m getting my feet wet with video content. More to come.

Thatā€™s it for this week.

See you next time

Matt āœŒļø 

Whenever youā€™re ready, there are 2 ways I can help you:

1 | The Data Portfolio Guidebook

If youā€™re looking to create a data portfolio but arenā€™t sure where to start, Iā€™d recommend this ebook: Learn how to think like an analyst, develop a portfolio and LinkedIn profile, and tackle the job hunt.

2 | 1:1 Coaching Call

For help navigating the data job hunt, consider booking a 1:1 career guidance session with me. There are a few options available to help you get to your ideal data job faster.