This video demonstrates how to use Claude's new built-in dashboards and \"Motion\" feature to automate financial reporting. The presenter shows a workflow that transforms raw CSV data from Google Drive into a live, traceable dashboard and an animated video presentation, significantly reducing the time finance teams spend on manual data consolidation and board reporting.
Claude just launched built-in dashboards
and this changes how finance teams are going
to report to the board.
You connect your data.
You give it a task in plain English
and you receive a dashboard with live numbers that
refreshes whenever your data updates.
And you can click on every number to see where they come from.
At the same time, Claude also launched Motion.
It turns a report or dashboard into a short animated video.
Both of them are very impressive.
And in this video, I will show you how
to use them on real finance use cases.
My name is Nicolas Boucher, I've taught more than
50 000 finance professionals how to use AI
in finance let's get into this video
Our goal today is to turn this mostly closed data,
sitting in a Google Drive folder,
into a live dashboard and a video presentation to the board.
It seems like a huge task, but in reality, it isn't anymore.
We have all of these different CSV files,
P&L, budget, balance sheet, headcount, sales,
and I remember spending days
and nights working with such data to clean them
and to make sure that we have good reporting for the board.
But with AI, now you can do that in minutes.
Look at this.
Our first job is to consolidate everything into one Google spreadsheet.
We are saving a lot of tokens
and I will explain you why later in this video.
What we are going to do is to put all of the data into one place.
And here is a small but very important rule.
Don't use much branding inside or formatting.
Just use raw data.
Why?
Because the clearer the file is,
the easier it is for Claude to read the data
and to make your analysis faster and the work faster.
Think of it as the foundation for everything we are going to do after.
So for this, we open a new chat in Claude.
We make sure that the Google Drive connector is
Please active and then we type
in the following consolidate all of the files inside aqua
pure data folder on my google drive
into one google sheet with a tab for each file.
Don't do anything else and add another tab
with formulas proving that the numbers are
correct and if they are not please flag it.
This is quite a light work for Claude but we are just getting started.
So now you see that we have one clean consolidated file
with all of the data up to September.
And you can see in the edit tab that everything worked.
data and the consolidated file together and everything makes sense.
At the time of making this video it's already October
so the new month's data just landed
in our hands. It's a perfect excuse for me
to show you how to update the console file
in literally just less than a minute
because we're going to do it with Claude
inside Google Workspace. And by the way,
I have a dedicated video on Cloud in Google Workspace on
my channel. Check it out if you want to learn the full setup.
So I open the Cloud plugin inside
Google Sheet and we just write the following.
Update the file with the data from the attached
file and update the audit tab with any error flag.
I don't have much time while Claude is working but
this whole video is just the tip of the iceberg
when it comes to AI for Finance. To learn how to
How to implement AI in your job,
live with me, we have a free masterclass.
I have a masterclass for you every week on Tuesday.
The link is in the description, so I invite you to join me.
Okay, let's see what Claude did.
The new month is in the file.
We see in the audit tab that everything checks out.
Perfect.
And since this is a repetitive task,
let's turn it into a skill, which will give us the
same output every time without needing to explain anything again.
So we can do that directly in the same chat.
We ask Claude to create a skill.
from everything we just did,
and we named it Data Console Month Close.
And you see, you teach Claude once,
and next month, it already knows what to do.
Now we have the data updated,
so it's time to create the dashboard.
And this time, instead of opening a new regular Claude Chat,
we go to Artifacts tab, where we can see dashboards.
Why?
Because building a dashboard in a regular chat
gives you a dashboard just using a snapshot of your data.
But if you go to the dashboard's functionality,
it will stay connected to your Google Drive folder and this brings another advantage
the numbers are very traceable and I will show you in a second
So let's open the dashboard feature and write the following prompt
I am a CFO of Aqua Pure and I need a dashboard with live numbers
Not hard-coded pulled from the consolidated document inside
my aqua pure data folder on Google Drive
I need to present it to the board.
So use our branding notice what I do here
I tell Claude who I am.
I tell where the data lives and I say live numbers not hard-coded
This is really important, because when testing this feature,
and maybe it's because it's
still in beta, Claude admitted to hard code the value inside the dashboard
So, I recommend spending 5 seconds on improving
your prompt to save an hour fixing the dashboard
header.
And I also tell it who the audience is,
board, and that it must use our brand name.
And while I hit send, you can hit
also the like button if you are enjoying the video
so far.
And it's done!
Let's open the dashboard.
And look at this, the first thing you see
is the story of the month in one sentence.
Like this, everyone in the room immediately knows what
how the meeting is going to go.
the dashboard is about.
And then we have the months on one page,
the main six KPIs that every board member
is always asking about.
And each one has a small trend chart
and the budget is shown as a dashed line.
Below that, we have actuals versus budgets for every month.
And we can filter by revenue, gross profit, EBITDA and cost.
Then in the profitability,
you have the EBITDA budget against actuals.
You have also the waterfall chart on the P&L.
Then you have the cash and working capital.
Then you have the full year overview
and the details on sales and volumes,
and also our graphs and analysis on headcounts.
This is literally everything your boss
and the board could ask in one place.
And last but very important, the proof center.
Here we can see that the numbers checked against the source files.
And if two files don't agree, then Claude is going to flag it.
And like this, we need to review.
Clean the data, you can use AI to clean the data,
before we use them for the dashboard.
And talking about data check and auditing
if everything is correct,
I know that one thing that a lot of you are always wondering,
they feel that this is a black box.
But that's why I want to show you this new functionality.
Look at the top right.
There is this database button.
And when I hover,
This mini database button, it's written, see where numbers come from.
When I click on it, you can see
that I have all of the details when I click
and I see what type of data was used.
So this is actually...
Replacing what I was always suggesting
to do is to create a noted document which explains
how the dashboard is working and how the HTML behind is working.
Here you can see that let's
imagine I want to go to the operating KPIs.
I will go to query and it sees that okay it's
getting the data from the spreadsheet.
Then I go and click transform and this is basically
here the whole code. You might feel here that it's scripted
and that you don't understand anything but
This is basically where you're going to audit this code
to understand how this is made.
And then you can see that the result,
this is here the data that was used to create all of the KPIs.
And my advice, if you don't understand this code,
you can copy the code and then you bring it into Claude
and you ask Claude to explain what is this code doing.
And you can do that in the same chat
because the chat knows the context.
Like this will direct you exactly to where is the data pulled
from which Google spreadsheet.
So, this is quite a good new functionality to have this source
because it will help more
and more to make these dashboards traceable,
auditable and give you comfort about how this
is built.
But now, even with the whole setup being very insightful
and quick to build, let's test
how it holds up to all of the promises I gave you in the intro.
Let's not forget that this is a monthly task,
so let's imagine that now November data just arrived.
So what I do is I simply open the same Google Sheets file,
I open Claude Plugin inside and upload the file.
After which, I use the skill we created and then I hit send.
Another reason why we consolidated all of the data in the first place.
It's going to save us tokens
and make this dashboard much more efficient.
Because the way the dashboard works is that anytime we open it,
instead of showing us
the number, it's actually going to pull always the latest numbers.
And if you have to do it from different files,
then it consumes more tokens, it's more complicated
for the AI.
And you can see how while I was explaining all of this,
Claude proceeded with the same
steps as before.
Now the data are updated
and I can see in the audit tab if there is any problem.
So now we have the November data inside the file.
if our system works.
So we go back to Claude, then artifacts, and then we open our dashboard.
And would you look at that?
It pulls the new data from the file. The numbers change,
the charts change, the story of the month change,
and I didn't touch the dashboard. I didn't rebuild
anything. So that's the whole workflow.
You add the data, you open the dashboard,
and you have a consistent dashboard.
I know a lot of you had this problem before like
Every time you ask, Claude was doing something new even
if you were in the same chat or even
if your data was the same.
This is the way that you make your dashboard consistent
and that you have a repeatable
workflow that always works the same way.
My team used to spend several days every month
on this and I'm sure yours too and I'm sure
maybe yourself, you are spending your nights on this.
This is going to change the way you work
because now it takes minutes and it's just a much
better reporting than a static PowerPoint.
file which becomes obsolete as soon as somebody's asking a question
and then you go and need to
change the slides and then
also it doesn't answer to all of the questions. It's really
hard to navigate because you can only go
from the beginning to the end. You cannot click
anywhere else to go back.
This is the new way of working to use this type of dashboard.
for your presentations.
And you can always export it as a PDF
if you want to keep a fixed and static copy.
Again, for me, PowerPoint is going to extinct
when we see what we can do here.
And I promise you one more thing
at the beginning of the video,
a really cool functionality
to make a video presentation for the board.
Maybe something you can send in the email,
something you can show at the beginning of the meeting
to make sure that everybody sees the same story
and maybe to give a wow effect to everybody in the room.
So we again open artifacts
On motion and here we write the following create an interactive
and dynamic animated
video presentation for the board from this dashboard
and then I paste the dashboard link.
Claude is cooking, let's see what he's going to build.
And it's done, so let's play it.
Look, this is so cool.
I know like it's maybe just like a gadget and something fun,
but I know sometimes people need something fun
in their presentations, in their meetings
to change a bit the energy.
Try this if you want, because look how we went
from CSV files to a live dashboard.
And now even a video that you can present
at the beginning of your meetings without BI team.
Without video team, without coding.
And if you want to learn more AI use cases for finance,
just join my free masterclass by clicking
the link in the description below.
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And remember, robots are coming, so stay human.