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Can Big Data Analytics Save Our World?

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If you ask Conservation International this question, they may just say yes. After all, Conservation International has teamed up with HP Earth Insights to provide organizations around the world — from environmentalists to policy makers – with a real-time look at what is happening within our planets most valuable natural resource: the rain forest.

But how does their work relate to you as a start-up organization or a Fortune 500 company?
First, they have surprisingly similar analytical needs to many other start-ups and corporations, collecting data regularly from 16 sites around the globe, performing more than 4 million climate measurements as of this February, and managing more than 3 TB of biodiversity information. As the name implies, this information is incredibly, well… diverse, including everything from photos to hand-recorded measurements to weather station and camera trap imagery. While your company may not be recording/analyzing the metadata of candid photos of elephants and/or chimpanzees, chances are, many of you out there are working with at least more than one type of data.

Collecting and Analyzing Multiple Data Types
All of these different data types have to be funneled into a database, analyzed, and then acted on. Running queries based on millions of climate readings begins to look a lot like doing the same on a diverse customer base like many other companies deal with every day. Many agricultural companies collect sensor data from across their farm lands to get a forecast of how the climate has affected their crops for the upcoming year. These days, utilities companies are launching Advanced Metering Infrastructures (AMI) to deal with the staggering amounts of sensor data collected from the energy usage of millions of homes. HP Vertica coincidentally works as an effective Meter Data Management (MDM) system (read more here).

Visualizing the Data and Reaching More People
Working with HP, Conservation International has built from the ground up their own analytics system and dashboard for visualizing their data from all 16 rainforests around the globe. CI DBA’s discover trends based on over 140 million simulations, and analyze the metadata from over 1.7 million photos. Not only is their custom interface intuitive, it also enables them to generate PDFs instantly and share to social media directly from the dashboard. For CI, this means more people now see more of their impact in more places to proactively address environment threats. For you, it might mean anything from less time spent prepping your data to present to management, or just simply fewer emails to send.

The Power of Prediction for the Greater Good
Like many companies, CI uses standard methodology in processing their data, and uses R for their analysis, as is very common in scientific studies. Using R, CI can proactively assess where the future trouble spots will be, and what parts of their monitored ecosystems are most threatened. Many other HP Vertica customers use R in surprisingly similar ways, such as seeing what neighborhoods a future power outage might affect most, or how serious the next year’s dry season will be to a farmer’s crops

See Conservation International at the HP Vertica Big Data Conference
These are just a few examples of how an incredibly unique organization uses HP Vertica to analyze unique data, yet does it in ways that many other groups might find surprisingly familiar. Sometimes after a closer look, we can see that many organizations have a lot more in common with their data needs than they may think, and HP Vertica is the right tool for the job.

Be sure to attend out upcoming Big Data Conference in Boston MA, where Conservation International is leading the hackathon!

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