Amazon Mexico FP&A dives deep into monetary knowledge with Amazon QuickSight

Amazon Mexico FP&A dives deep into monetary knowledge with Amazon QuickSight

It is a visitor submit by Gonzalo Lezma from Amazon Mexico FP&A.

The Monetary Planning and Evaluation (FP&A) staff in Mexico supplies strategic assist to Amazon’s CFO and govt staff on planning, evaluation, and reporting associated to Amazon Mexico. We produce and handle key finance deliverables, similar to inside revenue and loss (P&L) stories for all enterprise teams. We’re additionally concerned in planning processes, similar to month-to-month forecast estimates, annual working plans, and 3-year forecasts.

Our staff wanted to handle 5 key challenges: handbook recurrent reporting, managing knowledge from totally different sources, transferring away from massive and gradual spreadsheets, enabling advert hoc knowledge insights extraction by enterprise customers, and variance evaluation. To sort out these points, we selected Amazon QuickSight for our enterprise intelligence (BI) wants.

On this submit, I talk about how QuickSight has enabled us to concentrate on monetary and enterprise evaluation that helps drive enterprise technique.

Absolutely automating recurrent reporting

Creating and sustaining stories manually is time-consuming as a consequence of dense knowledge granularity and a number of enterprise teams and sub-products. This entails a whole lot of knowledge to course of and quite a few stakeholders to please. Subsequently, recurrent reporting requires allocating human hours to elaborate these stories, test the spreadsheet formulation, and depend on consideration to element to validate the numbers to report.

QuickSight dashboards present the Revenue and Loss (P&L), which replace as quickly as databases refresh, simplifying recurrent reporting dramatically. There isn’t any want for human intervention, which eliminates any danger of error in the course of the elaboration of recurrent reporting. The upkeep and elaboration time has decreased from every week to zero for processes which are at the moment in QuickSight. We make use of the QuickSight alerts function (as proven within the following screenshot) to stay knowledgeable when particular metrics exceed a predefined threshold. This permits us to remain cognizant of great modifications in our P&L at a granular degree.

Knowledge from totally different sources

With new marketplaces and channels always rising in Mexico, not all of them are built-in into the monetary planning system; due to this fact, shadow P&Ls and stories are widespread and unavoidable. Subsequently, the staff has to seek out methods to trace them with out compromising accuracy or consistency, which poses vital extra challenges. Furthermore, with a number of channels and groups reporting these numbers, it’s time-consuming to manually replace the info supply from each staff we work with.

QuickSight can onboard knowledge on channels and merchandise which are comparatively new and haven’t been onboarded to official planning programs. The staff has quite a few choices to load knowledge, together with Amazon Redshift, CSV recordsdata, and Excel spreadsheets. There may be nearly no restrict on the granularity and scope of our stories.

Giant and gradual spreadsheets

Though spreadsheets are a preferred instrument for monetary evaluation, they’ve limitations for giant and complicated datasets. This impacts efficiency, reliability, and validation. Spreadsheets grow to be gradual, cumbersome, and liable to errors, making it difficult to handle massive datasets effectively.

The SPICE (Tremendous-fast, Parallel, In-memory Calculation Engine) in-memory engine that QuickSight makes use of is unparalleled, in contrast with different options the staff tried prior to now similar to Tableau and Excel, eliminating the necessity for giant spreadsheets dramatically. Along with the time spent in elaborating the stories, the staff was having a tough time studying and visualizing them.

The MX Monetary Planning and Evaluation Dashboard proven under exhibits the primary contributors to the Gross Merchandise Gross sales for our enterprise. If gross sales progress is at 20.92% because it says within the graph, we all know that 9.09% is because of our NAFN channel. The graph on the backside exhibits which merchandise drove the gross sales enhance.

Advert hoc knowledge insights extraction

The finance area incessantly requires advert hoc monetary knowledge on current historic traits for a selected product and timespan. Given the variety of channels, merchandise, and eventualities the staff works on, this creates an enormous drawback to sort out. Extracting these knowledge insights requires vital bandwidth, which might take away from different important duties the staff must concentrate on.

Amazon QuickSight Q can reply any easy query in regards to the knowledge in an easy and nimble method, permitting the staff to deal with advert hoc knowledge insights utilizing pure language requests. The next screenshot exhibits a graph we incessantly get utilizing Q to report transport prices.

Variance evaluation

Offering correct and insightful variance evaluation is a major problem for anybody working in monetary evaluation (for instance, explaining value or revenue per unit by separating combine impact and charge impact). Big and difficult-to-understand spreadsheets would possibly sound acquainted to anybody who has tried to sort out this drawback within the finance area.

With QuickSight URL actions (as proven within the following gif and screenshot), the staff can right-click on the variance they need to dissect and hyperlink to a different sheet with granular element that has a decomposition of the primary drivers explaining that exact variance, changing the large and cumbersome Excel variance evaluation instrument the staff used to have.


All in all, the dynamic and interactive nature of the dashboards permits our inside customers to go deeper into the info with only a click on of the mouse. Now, constructing visualizations is intuitive, insightful, and quick. In actual fact, the entire resolution and instruments had been constructed with out the necessity of a devoted BI staff. Along with this, we developed inside QuickSight dashboards to view our personal prospects’ QuickSight utilization, so we’ve got excellent visibility on which areas and customers are extra energetic and which options are extra utilized by our companions.

With our QuickSight resolution, we’ve got automation, self-service, speedy response to requests, and suppleness.

To study extra about how QuickSight may help what you are promoting with dashboards, stories, and extra, go to Amazon QuickSight.

In regards to the Creator

Gonzalo Lezma is the Mexico Finance Supervisor for the Amazon LATAM Finance Workforce. He’s a lifelong learner, tech and knowledge lover.

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