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Civis - A Powerful Data Science tool
What do you like best about the product?
Civis is a special technological tool used for checking various types of data related to various people. Its main purpose is to help NPO in effectively taking valuable data out for the use of organisation.
What do you dislike about the product?
I haven't encountered any issue yet. So far, it's performing as I anticipated
What problems is the product solving and how is that benefiting you?
It helped our NGO by providing valuable data data, streamlining processes, and helping in data-based decision-making.
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Data provider, partner and excellent collaborator
What do you like best about the product?
They provide simple access to a broad range of data in a simplified package environment. They'll work with you either as a raw data provider, packaged data provider or a solutions partner. They are flexible, easy to work with and very willing to build something that works for you as the client. Their client centricity and partnership has you feeling like you're working with a nimble partner and their technical skills and resources are outstanding!
What do you dislike about the product?
Nothing! They are a great partner and we whenever there is an issue, they solve it!
What problems is the product solving and how is that benefiting you?
We use the population level data from Civis to help analyze, model and predict behavior at retail. Using their data we provide a very differentiated market level view at retail that competitors salivate over.
Great Data, Great Support
What do you like best about the product?
Everyone we've worked with has been the smartest person we've ever encountered, yet they make complex data come alive.
What do you dislike about the product?
Can't say there has been a downside. Cost is always an issue, but far and away the best investment we've ever made.
What problems is the product solving and how is that benefiting you?
Identifying customers needs and wants before they've clearly defined them for themselves. Heading off negative perception with course correction where applicable.
Recommendations to others considering the product:
Absolutely let someone from your team who is more fluent in Data Science ask questions, but don't let them lead the conversations - far and away, even your most experienced data person is light years behind these guys.
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