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


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

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

Our crew wanted to handle 5 key challenges: handbook recurrent reporting, managing information from completely different sources, transferring away from massive and gradual spreadsheets, enabling advert hoc information 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 put up, I talk about how QuickSight has enabled us to deal with monetary and enterprise evaluation that helps drive enterprise technique.

Absolutely automating recurrent reporting

Creating and sustaining studies manually is time-consuming on account of dense information granularity and a number of enterprise teams and sub-products. This entails lots of information to course of and quite a few stakeholders to please. Subsequently, recurrent reporting requires allocating human hours to elaborate these studies, examine 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 threat of error in the course of the elaboration of recurrent reporting. The upkeep and elaboration time has decreased from per 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 serious adjustments in our P&L at a granular stage.

Information from completely different sources

With new marketplaces and channels consistently rising in Mexico, not all of them are built-in into the monetary planning system; due to this fact, shadow P&Ls and studies are frequent and unavoidable. Subsequently, the crew has to search 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 information supply from each crew we work with.

QuickSight can onboard information on channels and merchandise which are comparatively new and haven’t been onboarded to official planning programs. The crew has quite a few choices to load information, together with Amazon Redshift, CSV information, and Excel spreadsheets. There’s just about no restrict on the granularity and scope of our studies.

Giant and gradual spreadsheets

Though spreadsheets are a preferred software for monetary evaluation, they’ve limitations for big and sophisticated datasets. This impacts efficiency, reliability, and validation. Spreadsheets change into 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 crew tried up to now equivalent to Tableau and Excel, eliminating the necessity for big spreadsheets dramatically. Along with the time spent in elaborating the studies, the crew was having a tough time studying and visualizing them.

The MX Monetary Planning and Evaluation Dashboard proven beneath exhibits the primary contributors to the Gross Merchandise Gross sales for our enterprise. If gross sales development 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 improve.

Advert hoc information insights extraction

The finance house regularly requires advert hoc monetary information on current historic tendencies for a specific product and timespan. Given the variety of channels, merchandise, and situations the crew works on, this creates an enormous drawback to sort out. Extracting these information insights requires vital bandwidth, which might take away from different important duties the crew must deal with.

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

Variance evaluation

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

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

Abstract

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

With our QuickSight resolution, we have now automation, self-service, speedy response to requests, and adaptability.

To study extra about how QuickSight can assist what you are promoting with dashboards, studies, and extra, go to Amazon QuickSight.


Concerning the Creator

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

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