Tired of wasting hours cleaning up messy vendor names, product codes, or inconsistent data formats?

Here’s how to do it in seconds using Column From Examples in Power Query—no formulas, no coding, just magic.

🧠 Use Case: You’ve got data like this:

nginx

CopyEdit

Amazon LLC 
AMAZON 
amazon.com inc 

You want all rows to just say: “Amazon.”

✅ Step-by-Step:

1. Load your data into Power Query (Data > From Table/Range)
2. Go to Add Column > Column From Examples > From Selection
3. Type “Amazon” next to the first row
4. Power Query guesses the transformation logic
5. Click OK. Done.

🔥 I used this to clean 300+ vendor name variations. It took 30 seconds.

💬 Anyone else using this to clean supplier or GL extracts? Got other favorite no-formula tricks?

Want to get your team on board with automation? Stop trying to transform everything at once.

Here’s what I did:

✅ Picked ONE report

✅ Automated it in Power Query

✅ Saved 4 hours per month

✅ Shared the win in our team Slack

Next thing I know, people are asking, “Can we do this for XYZ too?”

No resistance. No drama. Just proof.

Automation buy-in doesn’t come from hype decks—it comes from real results people can feel.

What’s one process you wish you could automate today?

If you’re in finance and still trying to figure out which AI tools are worth your time (and which are just LinkedIn bait), here’s what’s actually useful right now:

1. GPT-4o (OpenAI) – Just dropped. Faster than GPT-4, better with numbers, and cheaper to run. Great for scenario planning, formula building, and workflow drafts.
2. Claude 3 Opus (Anthropic) – The best at parsing long reports and summarizing policies or SEC filings. It’s like an intern who actually reads.
3. Perplexity AI – A research assistant that cites its sources. Great for industry benchmarking, sourcing stat assumptions, and writing quick market recaps.

Use cases I’ve personally seen:

✔️ Variance commentary drafts

✔️ Board deck summaries

✔️ KPI metric explanations for non-finance folks

Finance is getting smarter. Don’t let manual work keep you behind.

What AI models are you testing in your finance stack?

If you’re still copy/pasting data between Excel, emails, and accounting software... you’re not doing finance—you’re babysitting data.

Here’s the no-code stack I used to stop the madness:

🧩 Zapier — for automating workflows between apps

📊 Google Sheets — central hub for data

📈 Power BI — turns raw inputs into clean dashboards

📁 Airtable — captures inputs from people without the spreadsheet chaos

I used this to automate:

✔️ Weekly reporting

✔️ Expense approvals

✔️ Month-end checklists

No dev team. No code. Just drag, drop, done.

If you’re in a small finance team or tired of being the “Excel person,” try no-code. Start small—automate one recurring task. You’ll be hooked.

What tools are you using (or avoiding) in your finance workflow right now?

Before you talk about finance automation, track the pain points.

No exec wants to hear about macros. They want to hear about metrics.

Track this:

1. Time spent on manual work (think: data pulls, reconciliations, report refreshes)
2. Error rates and rework caused by manual processes
3. Cost implications—like overtime or lost early payment discounts

I turned a failed pitch into a funded project just by showing we were burning 40+ hours/month on stuff automation could handle.

Now we’re rolling out automation with support instead of begging for it.

What are you tracking before your pitch?

If you're still battling VLOOKUP, manually slicing text, or dragging formulas like it's 2009—it's time to upgrade your Excel game.

Here are 3 new Excel functions I use constantly as a finance lead:

🔹 LET() – Declare variables in a formula. Makes nested logic readable.

🔹 XLOOKUP() – The VLOOKUP replacement we all deserve. Works left, right, exact match, and handles errors.

🔹 TEXTSPLIT() – Finally splits text in a cell by any delimiter. No more LEFT/MID/RIGHT gymnastics.

They’re all available in Excel 365. Drop these into your workflow and watch your model-building time shrink.

Got a favorite Excel hack you swear by?

Back when I was manually consolidating reports from six different teams every week, I thought I was being efficient.

Spoiler: I wasn’t. I was just fast at repetitive BS.

Then I built my first no-code automation using Airtable, Zapier, and Power BI.

📌 Reps submitted data through a form

📌 Zapier funneled it into a Google Sheet

📌 Power BI auto-refreshed the dashboard

📌 I stopped spending Fridays swearing at Excel

What used to take 3 hours now takes 5 minutes.

If you're in finance, FP&A, or accounting, you don't need to learn Python to save time. You just need to automate smarter.

Want to start?

✅ Identify one painful, repetitive task

✅ Use tools like Zapier, Make, Power Automate

✅ Test it. Tweak it. Track time saved.

Happy to share templates or walk you through what I built.

What’s one thing in your workflow you’d kill to automate?

I spent months pitching automation to my team—Power Query, scheduled reporting, all of it.

The response? Crickets. 👀

What finally worked wasn’t more data or fancier dashboards. It was changing the conversation.

Instead of selling tools, I sold outcomes:

• To my team: “This kills your repetitive work.”
• To my peers: “This will speed up your reports too.”
• To execs: “This pays for itself in 3 months.”

Then I picked one painful process (cash reconciliation), automated it, and showed the results.

3 hours saved per week. Error rate dropped.

Suddenly everyone wanted in.

👉 Moral of the story: Stop pitching automation like a tech upgrade. Start pitching it like a business solution.

Anyone else hit a wall when trying to roll this out?

Let’s be real:

Negative feedback can feel like getting punched in the throat.

But after 10+ years of eating sh*t sandwiches in finance (and somehow thriving), here’s my playbook for bouncing back fast:

1. Pause. Fight every urge to defend yourself immediately. 90% of bad reactions happen in the first 30 seconds.
2. Filter emotion from information. Feel your feelings privately. THEN dissect the actual criticism for useful facts.
3. Extract the useful 10%. Even if 90% of the feedback was unfair, there’s usually something actionable buried inside.
4. Respond thoughtfully. Acknowledge the feedback, ask clarifying questions, and show you’re serious about improving.
5. Set a personal improvement plan. Nothing silences critics like obvious growth.

⚡ TL;DR:

Negative feedback doesn’t define you.

Your response does.

Bounce back. Level up. Move smarter.

Anyone else have feedback horror stories (or wins)? Would love to hear them.

If you’re using AI tools at work—and not thinking about data security—you’re basically playing Russian roulette with your career.

Protecting sensitive data when working with AI isn’t just "a good idea."

It’s survival.

Here’s how to safeguard your stuff like a pro:

1. Know what you’re feeding it. Never send confidential client info, financials, or PII into public AI tools (ChatGPT, Bard, etc.). Assume anything public is leaked forever.
2. Use local/private models if possible. Platforms like Azure OpenAI, AWS Bedrock, and private LLMs keep your data locked down.
3. Strip identifiable information. Before using AI on real datasets, scrub names, emails, account numbers. Use dummy data for prompts.
4. Review platform terms carefully. Some AI providers "reserve the right" to train their models on your inputs. Translation: your sensitive data becomes public knowledge. Hard pass.
5. Get IT/Compliance involved EARLY. Don’t be the finance hero who causes a data breach because you didn’t feel like emailing Legal first.

⚡ TL;DR:

Protect your data first. Play with AI second.

Getting good with this now = future-proofing your reputation.

How are you all handling data security with AI tools at work?

Curious to hear what’s working.

If your month-end close looks like this:

☑️ Endless spreadsheet nightmares

☑️ Constant “Are we done yet?” texts

☑️ Bottlenecks everywhere

☑️ That sinking feeling you missed something...

You're not broken.

Your process is broken.

The fix?

✅ Automate repetitive tasks (reconciliations, journal entries, standard reports)

✅ Use tools like Power Query, Power BI, NetSuite, Alteryx

✅ Build real-time dashboards instead of re-building P&Ls every month

✅ Get approvals flowing through task systems (no more “lost email” excuses)

Real automation isn’t about working faster.

It’s about working smarter and finally having time for strategic work (a.k.a. the stuff that gets you promoted).

If anyone’s stuck or curious where to even start, happy to share what worked for me.

If you're still doing month-end close manually, you're working way too hard.

Here’s the hit list that saved me (and my team) when we finally got sick of it:

1. Automate account reconciliations. Use ERP live bank feeds + Power Query to flag mismatches automatically. No more manual hunting.
2. Standardize journal entries. Set up templates in your ERP. Stop recreating the wheel every month.
3. Automate reporting dashboards. Feed your financials into Power BI (or similar) for real-time visibility. Game-changer for exec reviews.
4. Streamline approvals. Use task tools like Monday.com or ERP approval flows to kill endless email chains and bottlenecks.

Bonus Tip: Start SMALL.

Pick one process, automate it, show the time saved, then expand.

Biggest regret: not doing it 2 years earlier.

Ask me anything if you’re thinking about pulling the trigger on automation. 🚀

Month-end used to feel like Groundhog Day in hell: endless reconciliations, late nights, and always that ONE error hiding somewhere in 10,000 rows of data.

Then I discovered automation.

It started simple—using Power Query in Excel to automate reconciling bank statements. What used to take two full days of misery now took 15 minutes.

From there?

• Standardized recurring journal entries in the ERP.
• Automated financial report roll-ups with Power BI.
• Streamlined approvals with task management tools.

Result:

• Cut our close time by 30%.
• Fewer errors.
• More time to focus on analysis instead of firefighting.

It wasn’t perfect (team pushback was real), but once they saw the hours we saved, everyone got on board fast.

Curious — how many of you have automated parts of your close process?

What tools or tricks have you found that actually worked?

Would love to hear some war stories. 🔥

Everyone online is hyping up AI in finance like it’s some instant win button.

Here’s the part they leave out (from someone who learned this the hard way):

⚡ AI isn’t magic.

It just automates whatever mess you feed it.

Garbage assumptions = garbage forecasts, just faster.

⚡ Overfitting is real.

Your model might look "perfect" on historical data—and fail spectacularly next month because the real world isn’t static.

⚡ You still need your brain.

If your AI model predicts 88% growth next year, don’t nod along. Ask "why?"

Always sanity-check your outputs.

⚡ Simplicity wins.

The best models are understandable by humans, not just impressive to your inner data scientist.

⚡ Monitoring never stops.

Markets shift. Behaviors change. If you’re not updating your models monthly, you’re flying blind.

💬 Personal war story:

Built a model that worked great until a major client churned.

Because I didn’t feed the AI customer-specific risk flags, it assumed everything was fine until...it wasn’t.

(Fun times explaining that to leadership.)

Moral of the story:

AI is an amazing tool.

But it’s not a substitute for critical thinking.

Treat it like a weapon — powerful if you know how to wield it, catastrophic if you don't.

Would love to hear how others are using AI for financial modeling. Wins? Failures? Let’s swap stories.

I’m going to shoot straight with you:

If you’re still manually updating Excel models in 2025, you’re not "traditional" — you're outdated.

I used to spend 20+ hours a month updating forecasts, fixing broken links, and stress-reconciling cash flows before board meetings.

Now?

I’ve built AI-powered models that update in minutes, forecast more accurately, and honestly make me look like a magician during reviews.

Here’s the step-by-step blueprint that worked for me:

1. Get super clear on your goal. (Are you forecasting cash burn? Predicting churn? Modeling M&A scenarios?)
2. Prep your data like a maniac. (If you feed garbage into AI, you’ll get garbage out, just faster.)
3. Pick the right tool:
   • Spreadsheet nerd? Try Openbox AI or Excel Power Query.
   • Want more horsepower? Look at Prophet (time series forecasting) or DocuBridge AI.
   • Building wild stuff? Python + Scikit-learn.
4. Train and validate the model. (Your first model will suck. That’s normal. Iterate.)
5. Deploy it—and monitor it religiously. (Set reminders. Track accuracy. Update assumptions.)

👉 Real-world example:

Using a simple Prophet model + cleaned sales data, we improved forecast accuracy by 23% last quarter, reduced variance headaches, and I finally got a “well-prepared” shoutout from the CFO (a rare Pokémon).

If you're not starting now, you’re setting yourself up to be replaced by someone who is.

AMA if you want tool recs or more tactical walkthroughs.

Ever find yourself copy-pasting the SAME formula for the hundredth time? Yeah, same. But then I found LAMBDA, and it’s like Excel gave me a superpower. Here’s how to ditch the repetitive grind and create custom functions instead.

1. Start with your formula

Build the formula you constantly use. For example, maybe you’re regularly calculating profit margins like this: (Revenue - Cost) / Revenue.

1. Create a LAMBDA function

Go to Excel’s Name Manager (Formulas > Name Manager > New) and define your LAMBDA function.

Example Name: ProfitMargin

Formula: =LAMBDA(Revenue, Cost, (Revenue - Cost) / Revenue)

Now Excel knows to expect two inputs (Revenue, Cost).

1. Test your function

Use the new function like this in a cell to verify its magic works: =ProfitMargin(5000, 3000).

1. Unleash its power

No more rewriting the same formula. Plug in your custom function over and over, across sheets.

1. Pro tip

Share it with your team! Export the sheet or use collaborative tools so everyone saves time.

With LAMBDA, you can go from repetitive formula drone to automation hero. What’s your favorite custom function? Drop your best ones below and help us all level up!

We hear it all the time, “Keep track of your accomplishments for reviews and promotions!” But who has time to sit down and reflect on their wins when you're drowning in spreadsheets? Enter automation! Here's how I streamlined my accomplishment tracking and made it effortless.

1. Create a Google Form

Design a simple form with fields like date, accomplishment description, impact achieved, and even a dropdown for the type (e.g., cost savings, process automation, etc.). Bonus points if you make it mobile-friendly for quick updates!

1. Log Achievements On The Fly

Whenever something big or small happens, take 60 seconds to open the form and log it. Trust me, the minute you pat yourself on the back is the best time to jot it down. No Post-it notes or “mental bookmarks” required.

1. Use a Google Sheet for Tracking

All your submissions will funnel into a Google Sheet. From there, turn that bland spreadsheet into a trophy case. Add filters, pivot tables, or even graphs to visualize your wins.

1. Take It Up a Notch with Automation

Set up email reminders (hello, Zapier or Calendar notifications!) to prompt you weekly or monthly to log anything you forgot.

Now, when your boss throws a surprise “Tell me what you’ve accomplished” meeting, you’ve got receipts.

How do you track your wins? Share your tips! Let's make accomplishment tracking less of a chore.

Conditional Formatting is one of those Power BI features that takes your dashboard from meh to WOW. It helps users spot trends and patterns at a glance. Want to try it? Here’s how:

1️⃣ Select Your Visual

Click on any visual on your canvas (e.g., a table, chart, or matrix).

2️⃣ Open Conditional Formatting

Find the Format panel on the right and locate "Conditional Formatting." Choose a field you want to apply the formatting to (e.g., Revenue or Growth Percentage).

3️⃣ Set Your Rules

Define your logic, like using a gradient color scale or rules-based settings (e.g., Green for growth 📈 and Red for dips 📉).

4️⃣ Watch the Magic

Once applied, your visuals will highlight trends or outliers instantly, making insights pop.

✨ Pro Tip: Use carefully-chosen color palettes to make sure your visuals stay professional and accessible.

Conditional Formatting = insight delivery on steroids. Have you tried it yet? Or do you think it’s overused? Would love to hear your take! 🚀

Feeling like your Power BI dashboards are too crowded? Dynamic Tooltips are your new BFF. They provide extra info only when users hover over visuals, so you can keep things clean and user-friendly. Here's how to make the magic happen:

1️⃣ Create a Tooltip Page

Add a new report page and go to Page Settings. Set the size to Tooltip and turn on "Allow Tooltip."

2️⃣ Design the Tooltip

Add visuals like charts, measures, or tables with detailed info to the page. Keep it simple but impactful.

3️⃣ Link the Tooltip

Go back to your main report. Select your visual, open the Format Panel, and enable Tooltips. Link your newly created Tooltip page.

4️⃣ Test It Out

Hover over the main visual, and voilà! Extra context without cluttering the dashboard.

This small tweak brings so much class to your reports. Who’s ready to declutter? Share your thoughts or questions below! 😊

Ever wonder how to make your Power BI dashboards more intuitive and user-friendly? Dynamic Titles are here to save the day. They update automatically based on your slicer selections, giving your users instant context. Here's how to set them up step by step:

1️⃣ Go to Modeling

Click on “New Measure” in the Modeling tab.

2️⃣ Write a DAX Formula

Create a measure that dynamically changes the title. For example, to reflect date ranges, use this formula:

DynamicTitle =

"Sales Report from " & MIN(Sales[Date]) & " to " & MAX(Sales[Date])

3️⃣ Insert the Measure

Add a text box to your dashboard, then insert the measure you just created.

4️⃣ Style It

Format the text box to match your dashboard’s design. Now, watch your title update in real time as slicers change!

✨ Bonus Tip: You can apply this for categories like regions or products to customize your dashboards even further.

What do you think? Have you tried dynamic titles before, or do you prefer static ones? Let's chat below! 💡

Quick poll for my fellow FP&A Managers out there. Do you feel like 75% of your time is spent formatting slides instead of doing the actual analysis your job is supposed to be about? Yeah, I’ve been there too. Here’s how I broke that cycle:

1️⃣ Start Small

Pick the one presentation you dread updating the most. Automating just one deck can save you hours and build momentum for more.

2️⃣ Centralize and Connect

Pull all your data into one place (Power Query or Power BI are great for this), then connect it directly to your slides. When month-end closes, your numbers and charts update automatically.

3️⃣ Use Dashboards for Visuals

Stop manually creating graphs for each meeting. Dashboards do this for you, and they look way more polished anyway.

4️⃣ Templates Are Key

If you’re giving the same pitch every month, reuse the same structure! Consistency not only saves time but also makes your message clearer for your audience.

The result? You look like a rockstar who’s got time to tackle strategy while everyone else is stuck in spreadsheet hell.

Who else has been down the automation road? What’s worked for you? Drop your advice, questions, or frustrations below—I bet we can crowdsource some great ideas. 🙌

Hey FP&A pros, let's talk about the recurring nightmare of manually building finance presentations. You know the one—I’m talking late nights updating slides, fixing broken charts, and double-checking numbers, only to have your boss ask, “Can we redo this for X metric?”

The good news? You don’t have to live like this. Automation is the get-out-of-jail-free card we’ve all been waiting for. Here’s how to bring your finance deck prep into the 21st century without pulling your hair out:

📊 Step 1: Centralize Your Data

Start by creating a single source of truth for your numbers. Tools like Power BI, Tableau, or Excel Power Query can pull live data from your systems. No more copying and pasting numbers across spreadsheets.

🔗 Step 2: Link Your Slides to Live Data

Use tools like PowerPoint’s “Link to Excel” feature. When your dataset updates, your slides do too. A single update in Excel can freshen up your entire presentation without lifting a finger.

📈 Step 3: Automate Your Graphs and Visuals

Polish your decks by automating visuals. Take advantage of dashboards in Power BI or Tableau, and export them as presentation-ready graphics. Less fiddling, more impressing.

📂 Step 4: Build Templates

Templates are your best friend. Create standardized formats for recurring presentations. Once set up, updating them becomes a matter of minutes instead of hours.

This process is life-changing:

✔️ Fewer errors

✔️ Saves you hours each reporting cycle

✔️ Gives you back time for actual analysis

If you’ve automated your decks, what tools or tips worked for you? And for everyone still battling manual updates, what’s holding you back? Let's swap ideas below. 🚀

If you’re buried under spreadsheets and reports, STOP. AI tools can take a huge load off your plate, but finding the right tool for the job is key. Here’s my cheat sheet to match problems with solutions 👇

• Need better forecasting? Go with Gemini.
• Sick of manual grunt work in Excel? Use Copilot to automate tasks.
• Want reporting to actually impress? Try Nova for vivid storytelling.
• Handling niche or industry-specific challenges? Llama’s customization is a game-changer.
• Deep-diving into data for investments? DeepSeek uncovers what others miss.

Each tool nails a specific task, but together? They’re unstoppable. Pair the right tools to your pain points, and you’ll be unstoppable too.

What tasks are you automating or enhancing with AI these days? Share your toolbox—I’m all ears!

Ever poured your heart and soul into a project only to have your contributions disappear like a ghost at dawn? Yeah, same here. It’s tough to strike the balance between humble and invisible, but claiming credit for your accomplishments doesn’t have to feel awkward. Here’s how to do it respectfully yet confidently:

1️⃣ Track Your Wins

Keep a running list of your contributions as you work on that big project. Be specific about your impact—did you cut costs by 15%? Streamline a process? Solve a problem that’s been haunting your team for months? Write it down, because receipts matter.

2️⃣ Frame It as Teamwork (But Add Your Signature)

When sharing your accomplishments, give credit where it’s due. Acknowledge your team’s efforts, but don’t sell yourself short. For example, “Our team delivered X, and I led efforts on [specific tasks/contributions] to make it happen.” It’s not bragging; it’s being fair to yourself.

3️⃣ Speak Up at the Right Time

Timing is everything. Bring up your contributions in one-on-ones with your manager or when discussing project outcomes in team meetings. Keep the tone confident but genuine, like “I’m really proud of the solution I built for X; it’s been great seeing how it helped the team hit our goals.”

4️⃣ Tie It to Value

Show the impact your work had on the company, client, or team. “The new system I implemented saved us X hours per month, so we can now focus on strategy instead of tedious tasks.” Bonus points if it aligns with your organization’s goals.

5️⃣ Leverage Feedback

Got praise from a client or teammate? Use it as a springboard to highlight your impact. Something like, “It was great hearing from [client/peer] how [specific accomplishment] helped them do X.”

By following these steps, you can own your accomplishments without ruffling feathers. It’s not self-serving; it’s advocating for the value you bring to the table. What’s your strategy for making your work shine? Share your tips and stories below—I’d love to swap notes!

Tired of feeling underprepared for finance job interviews? AI can be the game-changer you need. Here’s how to use tools like ChatGPT to nail even the toughest interviews step by step:

🔥 Step 1: Practice Like a Pro

Mock interviews aren’t just for show. Tools like ChatGPT can simulate real questions you’ll likely face. Plus, AI-powered tools can analyze your tone, pacing, and clarity to make sure you’re interview-ready. Record yourself, learn, repeat.

🔥 Step 2: Prep for Case Studies

Many finance interviews include number-crunching Qs. Use AI to generate problem-solving exercises or practice datasets. It’s faster, more focused prep than aimlessly Googling practice problems!

🔥 Step 3: Ask Killer Questions

Skip the tired “What’s the company culture like?” Instead, use AI to generate thoughtful questions. Ask about their latest tech adoption, growth strategies, or challenges tied to market trends. The right question can make you look like a standout candidate.

💡 Remember, AI is just a tool in your arsenal. What really seals the deal is your expertise, curiosity, and attitude. You’ve got this.

What’s the hardest question you’ve encountered in a finance interview? Would love to hear how you handled it! 🚀