Aqumin is a Financial Market Visualization company. Our AlphaVision software provides a 3D market view that helps financial professionals get an edge. In developing our Enterprise Intelligence server we often run across technologies and opportunities outside of finance that are worth looking into. We recently discovered GoodData(http://www.gooddata.com).
GoodData is a cloud based application that provides a new way of interacting with business data. They host a number of APIs that allow you to upload data to their servers. Once the data is there they provide a number robust solution for analyzing and presenting the data through a web interface. They have a number of modules that make it very easy to export data from other data services like SalesForce.com and ZenDesk.com.
We thought it might be interesting to see if we couldpush this data in to AlphaVision to create a top level ‘god’s eye view’ of the data to complement GoodData’s fantastic data summary tools. We used GoodData’s sample Sales project and here are some of the images we were able to produce(click on the image to see the full sized image):
Closed Sales Timeline:
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In this landscape we display all of the closed sales that have closed in the system. The height and color of each tower is the Expected Revenue of the sale. Tall green towers are bigger deals than short red towers. We then plot the sales with the x-axis being age of the deal in the system and expected revenue on the y-axis. We can quickly see that this particular sales force has been very successful. The number of sales increase as age decreases.
Open Leads Timeline:
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In this landscape we are looking at the open leads. The height is still the Expected Revenue but we’ve changed the color to the probability that the deal will close. Fortunately for this organization it looks like the more valuable sales are also the most likely to close. There may be a story here. Is this just wishful thinking or are these deals actually closing at the estimated probabilities? Another interesting artifact in this sales lead landscape is the strong bands that occur at particular times (ie the strong band of red around 94 days). What is causing this? Did the Sales VP send out a memo to update the system. Was this a clerk entering contacts from a trade show?
Stage Time Line:
(Click to enlarge)
In this landscape we change the y-axis to the currently classified ‘stage’ of the sales lead. This shows a ‘stale’ categorization. There seems to be a number of very old open items in each category. This may make sense for a prospect, but what about negotiation? At some point you may need to be honest with yourself that your negotiations have broken down and it is time to re-categorize the lead. If you were to tie this landscape to a web asset using the sales lead id you could quickly identify the sales leads that need to be updated and take care of the task in AlphaVision.
After completing this experiment we feel like there are some very interesting applications to be discovered in the sales area. If you are an existing GoodData customer we’d love to talk with you about how AlphaVison can help you get additional value out of your GoodData investment. If you are having trouble getting your hands around your sales force you may want to consider taking a look at GoodData’s offerings and how it can be enhanced using AlphaVision.
Technical Details: These landscapes were created using Aqumin’s AlphaVision running on an average laptop with a mid grade graphics GPU. Data was pulled from GoodData using a GoodData connector in Aqumin’s Enterprise Intelligence Server.
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