Parrot Analytics vs. The Weather Company

It is well suited for products where there are a lot of users at scale performing and interacting with the platform. Also where businesses need to take informed decisions based on mass users performing actions at scale. Therefore demand analytics tools like Parrot can be a real boon for such businesses. It is less appropriate for those who are not having users at that scale. Scale is very important I believe and analytics can be even more powerful once we have a lot of data on our hands.

Incentivized

Well suited:

• Forecasting for severe weather events.
• Generating overall seasonal trends in upcoming weather patterns.
• Content is easy to read and understand.
• Great for business decision-makers, c-level executives.

Not well-suited:

• Year ahead forecasts.
• Data that can be trusted as finite days before a weather event. The data and forecasts can change often, so remaining up to date is key.

Incentivized

• In-depth Demand Analytics of core features.
• Proper recommendations of features.
• Popularity tracking of the core data that we have and mapping with users.

Incentivized

• Detailed forecasts.
• Hyper-local forecasts.
• Daily updated local and meaningful forecast for our business.

Incentivized

• Audience behaviour dataset can be improved.
• Demand tracking for features can have more metrics to get even more granular.

Incentivized

• Forecasts are not always accurate.
• Winter weather forecasts are now often now-casted which can be challenging for proactive planning.
• Would love to see more tips on how businesses can prepare for severe weather by the use of the Weather Company’s data.

Incentivized

Support for the Weather Company has not been an issue. The predictive analytics processes that they use allow them to remain a strong force in the world of weather patterns and forecasts. Brand recognition allows them to continue to grow and develop in a world that is not as crowded as other predictive analytics areas.

Incentivized

Insightful meteorologists that both understands the science of weather and also understands our business needs.

Incentivized

• We were able to capture data metrics by almost 25% more as compared to another analytics tool we previously used.
• Recommendations of new data grew by at least 15%.

Incentivized

• Plan ahead business support for our clients.
• Awareness of weather events, with enough time to pivot as needed.
• Determine the necessity of seasonal roles staffing needs based on seasonal forecasts.

Incentivized