Illuminating sustainable energy generation at the Gartner A&BI Showdown

Reading Time: 3 minutes

We were delighted to showcase Lumin by Fosfor during the Analytics and Business Intelligence at the 2022 Gartner Data and Analytics Summit in Orlando, Florida.
The Gartner A&BI showdown this year took place over two sessions on day 2 and day 3 of the data and analytics summit with 6 vendors showcasing their platforms and capabilities by looking at datasets for a variety of UN sustainability topics. Sustainable Development isn’t just a catch phrase; it’s a collection of strategies and practices that countries must adopt for the welfare of their people—and to ensure a healthy relationship between humanity and the planet.

Lumin’s presentation was helmed by Ashish Rishi, the Head of Product Development at Fosfor. Ashish took the audience through an analytical journey, using our Decision Intelligence platform – Fosfor Lumin to identify key global trends in sustainable energy generation, performing deep dives into those regions and renewable energy technologies that are doing well, and tying this back to improving social outcome measures in terms of more people having access to electricity.

You can watch the full demo video here or scroll down to read the synopsis.

Sustainable energy trends investigation

Here are the key insights Fosfor Lumin uncovered:

  • A few simple exploratory questions revealed that renewable energy generation is growing globally, as is its share in the total energy generation mix from the time the Paris Climate Agreement was signed back in 2015.

  • The share had grown by more than 3 percentage points during the period from 2015 to 2019 (the last year included in the dataset provided by Gartner).

  • When deep diving into the contributing factors behind this share increase, Our Decision Intelligence platform discovered that the East Asia and Pacific countries did especially well in terms of generating electricity sustainably in this period. The autonomous key drivers model also pointed out that public funds invested and international investments into energy research are the drivers of this increase.


  • Interestingly, the autonomous insights capability had also nudged us—right on Lumin’s landing page—regarding increasing renewable energy production in East Asia in recent years. It was also positively noted that the increasing share of renewable energy in East Asia also correlated with a higher percentage of the population getting access to electricity each year with that number nearing the 90% mark in 2019.


Insights Sharing and Storytelling

Ashish also showcased the various means through which policymakers and analysts can share and collaborate on the insights that Lumin by Fosfor discovers, from autonomous alerts to exporting and sharing any one-off insights with a couple of clicks of the mouse. Fosfor Lumin’s SDKs and APIs were also highlighted, noting how the power of decision intelligence can be brought into any business application.

For example:

  • Nudge alerts can be sent via email on recently refreshed data:

  • Fosfor Lumin can be embedded seamlessly into an existing web dashboard:

  • Insights can be shared using built-in PPT and PDF export formats:

And that was not all! Ashish also guided the audience through a story on public spending on Renewable Energy generation around the world, where the audience got to see the ease of data storytelling with Lumin’s workspaces:

Renewable energy investments have steadily increased for the past 10 years.
Non-renewable energy sources still received bulk of the spending in 2019.
Among renewable energy technologies, public spending continues to focus on hydropower and wind.
This was an interesting observation: public spending is more strongly correlated to renewable energy generation for developing economies.
And among those developing economies, Brazil leads the way in terms of public fund flows.

Insights Everywhere with the Lumin Mobile App

For policymakers on the move, the Fosfor Lumin mobile application provides smart insights via voice and text. To conclude Fosfor’s Showdown presentation, Ashish demonstrated how the mobile app – launched officially at the Data and Analytics Summit – can be used to run even complex analyses such as forecasts simply by talking into your phone and letting Lumin do the rest:

Want to learn more about how Lumin can help you uncover the hidden insights in your data? Shoot us a note at


Aditya Balaraman

Product Solutions Specialist for Lumin by Fosfor

Aditya is a Product Solutions Specialist with 11 years of experience in Analytics, Retail and Commercial Banking and Fintech. He works with Fosfor customers to help them monetize the value of their data, with a specific focus on clients in Banking, Financial Services and Insurance.

Latest Blogs

See how your peers leverage Fosfor + Snowflake to create the value they want consistently.

After-market sales & service: Warranty analytics for HVAC manufacturers

For manufacturers seeking to improve their financial performance and customer satisfaction, the quickest route to success is often a product-quality transformation focusing on reducing warranty costs. When fulfilled while backing exceptional product quality, product warranties positively impact sales, profitability, and customer loyalty. On the other hand, when warranties are backed by sub-optimal products, it results in large warranty reserves that directly impact the organization’s profitability. This negatively impacts the organization’s brand, Image, and equity.

Read more

Augmented decision intelligence + limitless cloud scale = pharma’s success playbook

Cloud technologies have now become a must in the pharmaceutical industry. Leading life-sciences companies are discovering the potency of cloud data in enabling analytics, shrinking innovation cycles, and standardizing processes across global operations, among other benefits. For example, Moderna delivered its first clinical batch of its COVID-19 vaccine candidate to the US National Institutes of Health for Phase I trial only 42 days after the initial sequencing of the virus by using cloud technology.

Read more

Bias in AI: A primer

While Artificial Intelligence (AI) systems can be highly accurate, they are imperfect. As such, they may make incorrect decisions or predictions. Several challenges need to be solved for the development and adoption of technology. One major challenge is the bias in AI systems. Bias in AI refers to the systematic differences between a model's predicted and true output. These deviations can lead to incorrect or unfair outcomes, which can seriously affect critical fields like healthcare, finance, and criminal justice.

Read more