Carto (formerly CartoDB) in Brooklyn, New York offers their location intelligence solution.
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IBM Environmental Intelligence Suite (EIS)
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The IBM Environmental Intelligence Suite is an AI-powered SaaS solution that provides intelligence to proactively manage the economic impact of severe weather and climate-change events built on weather data.
CartoDB is great for generating geographic visualizations of data where the geographies are well-defined. It would be great for analysts to develop visualizations of data with spatial elements. That being said, the software is limited if you want to do any real data munging or analysis, as it can be cumbersome to use and there isn't a great interface for actually saving the results of different manipulations (you can save it as a new file, but it's hard to do version control, etc.). I would recommend preparing the data outside of CartoDB and only using the tool for visualization once the data is well prepared.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I feel IBM Environmental Intelligence Suite (EIS) is well suited for any organization that is growing and developing programs for sustainability and need geospatial type data to work with analytic tools. Being in the energy services space that was very helpful with some of our ESG reporting requirements.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
It is amazing at allowing control of the visualizations. It takes a little bit to get used to but the combination of full SQL queries and CSS-like styling is very powerful.
The services are built on a robust stack of open source software. I was able to build a standalone instance of CartoDB relatively easily (after some research and trial and error).
Server side map rendering is key for handling large data sets. The way the images are returned makes them very easy to catch in an HTTP cache to minimize the hits to the server. The interactivity that CartoDB has built in makes this completely transparent to the end user, they can click on parts of the static images and be presented with popups or change map styles. It's a very clever implementation.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Presented meaningful charts and tables of our climate data in the 4 countries we operate and showed strengths and weaknesses across each market.
Formatted the presentation materials so our team did not have to take the reports and put them into a presentable format. We were able to leverage the technology's outputs in raw form which was very helpful and saved a lot of time.
Applied this to some of our client's data to see how we can better serve their business based off the different climates, environments, and countries they operate in (specifically within the real estate sector which is a large portion of our business).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Given the newness of the platform we have struggled with the integration and onboarding as previously mentioned. Not only from getting our team members setup and able to use the platform but also integrating our current systems to be compatible we had to reach out to the customer support team quite a bit.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
CartoDB definitely saves a lot of time when creating visualizations. Previously, I would use different software and have to make edits manually (or just create the visualizations manually to start with). I would say that the software definitely cuts the time required to create certain visualizations by a half or two-thirds.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We were able to scale back our workforce in the EMEA regions due to inefficiencies based off the insights we received.
We had a lot of data we did not know how to use. With IBM Environmental Intelligence Suite we cut back on 40% of our staff's hours to sift the data and analyze. Instead this time was spent loading the tool and analyzing the results as opposed to the more administrative aspect.
Our efficiency metrics (based on internal firm performance criteria) went up by 2 points (35%) for our offshore resourcing once we were able to integrate them into the tool.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
