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Power BI is likely to be the best option for you if you're already using programmes within the Microsoft stack, like Azure, Microsoft cloud environment, or Excel, as you can seamlessly integrate these platforms. It's also very easy to get started with, especially if you're familiar with other parts of the Microsoft stack, so therefore it's relatively straight-forward for non-data teams to use. Power BI is probably the most cost-effective visualisation tool on the market. Its desktop version is free to use, and the cost to upgrade to the online services is very cost-effective compared to competitors.

Recently acquired by Google, Looker users can expect more and more integrations available with Google's data stack as they focus their investment on developing this new and improved visualisation tool. One of the first steps is incorporating the widely used Google Data Studio (now called Looker Studio). Looker also has the ability to connect to multiple data sources and enables straightforward self-service analytics, however it is typically more expensive than some of its competitors.

Tableau is one of the longest running visualisation tools, and as a result, offers an impressive suite of interactive visualisations and can handle vast amounts of data. One of the great things about Tableau is its strong community - they essentially offer a public forum where you can ask Tableau-related questions and collaborate with other users. However, Tableau is predominantly a visualisation tool so if you're looking for a platform that will also clean and process your data then Tableau isn't the best option. It can also be quite expensive to scale up usage within an organisation.

Qlik Sense has a full range of AI capabilities, which is great if you're wanting to take your insights to the next level. Their unique data engine also enables users to really drill down into the data and explore it from any angle. Qlik is also a great option if you're wanting to scale up as there are no additional or hidden costs. However, its range of visualisations are limited in comparison to competitors, and it doesn't support the programming languages R and Python.

Data Visualisation | Ipsos Jarmany

Power BI
Power BI is likely to be the best option for you if you're already using programmes within the Microsoft stack, like Azure, Microsoft cloud environment, or Excel, as you can seamlessly integrate these platforms. It's also very easy to get started with, especially if you're familiar with other parts of the Microsoft stack, so therefore it's relatively straight-forward for non-data teams to use. Power BI is probably the most cost-effective visualisation tool on the market. Its desktop version is free to use, and the cost to upgrade to the online services is very cost-effective compared to competitors.
Looker
Recently acquired by Google, Looker users can expect more and more integrations available with Google's data stack as they focus their investment on developing this new and improved visualisation tool. One of the first steps is incorporating the widely used Google Data Studio (now called Looker Studio). Looker also has the ability to connect to multiple data sources and enables straightforward self-service analytics, however it is typically more expensive than some of its competitors.
Tableau
Tableau is one of the longest running visualisation tools, and as a result, offers an impressive suite of interactive visualisations and can handle vast amounts of data. One of the great things about Tableau is its strong community - they essentially offer a public forum where you can ask Tableau-related questions and collaborate with other users. However, Tableau is predominantly a visualisation tool so if you're looking for a platform that will also clean and process your data then Tableau isn't the best option. It can also be quite expensive to scale up usage within an organisation.
Qlik Sense
Qlik Sense has a full range of AI capabilities, which is great if you're wanting to take your insights to the next level. Their unique data engine also enables users to really drill down into the data and explore it from any angle. Qlik is also a great option if you're wanting to scale up as there are no additional or hidden costs. However, its range of visualisations are limited in comparison to competitors, and it doesn't support the programming languages R and Python.