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.
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.
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).
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.
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.
