Looker

Vantagens

Looker is incredibly easy to use for a casual user, which most of our users are. As soon as your email is activated, you have access to the product and new users need very little direction to start getting value out of it.

Desvantagens

Relative to other BI tools, the advanced charting functionality is somewhat limited, but frankly that's not the main reason we bought Looker. Data scientists can use another tool of their choice, we have Looker for people who aren't data scientists.

Alternativas consideradas

Razões para escolher o Looker

Software anterior

Razões para mudar para o Looker

Vantagens

Easy to create dashboards without engineers needing to write code.

Desvantagens

Still not very good yet for a multi-tenant embedded environment. Needs a lot of work to set up and the API is slow.

Vantagens

It's a great data exploration tool for users who normally would get anxious when given a large dataset in something like Excel. It's generally simple to use and there can be unlimited Viewers (users at the lowest permissions level) through the enterprise product. Data Visualization is essentially done for you and Exploers (users at the second level of permissions) can build new visualizations & turn them into interactive dashboards.

On the Looker platform, Explorers can locate a view (called an Explore) and then are given a list of dimensions and measures they can pull into a table. Users can create new dimensions using calculated fields and then save their views so any users with Viewer permissions (and up) can see what was put together.

Desvantagens

With simplicity comes lack of flexibility. More skilled data analysts will want more flexibility than Looker can provide but at the same time you need to have highly skilled Data Analysts to be the Developers (high level of permissions) to set up the data so that less skilled analysts (the users who benefit from Looker most) who are Explorers don't build views that grossly misrepresent the data.

My biggest pet peeve with this software as an Explorer is that you cannot make calculations on the base data...only the data that you pull into your table (called table calculations). That is a major feature that Tableau has that Looker does not have at the Explorer permission level. Of course developers can use LookML (Lookers data language) to create a new column...but a Developer license is more expensive and creating the fields take time and it's something you constantly will need.

Vantagens

Departments can access data in a consumable form without complexity.
Some SQL skills help achieve a lot more with the software, you can write your own queries and get more drilled down data.

Desvantagens

Some visualisation options (like graphs & charts) were a bit more complex to achieve. Although, the default tables are simple and easy to understand.

Vantagens

I love the customization of Looker, and that you can put large amounts of data into the hands of anyone -- in a way that makes sense [to them]!
While their product is great, it speaks volumes to the team. It's an amazing group of people that continue to receive feedback from their customers and iterate time and time again on their product. They truly care about data and their customers, and they want to empower them the best they can.

Desvantagens

When modeling views, I wish you could define better filters for measures but it's limited. There are workarounds, meaning modeling out several additional dimensions to arrive at the measure you need to pull regularly, but it'd be much more efficient to allow for measures to be more nuanced.

Large dashboards (with 25+ tiles) can take awhile to load, which is understandable. Once their "merge results" feature is fully rolled out and we're able to save them as new tiles or looks, it should help resolve the need for so many tiles.

Neither of these two things are a big deal, and I wouldn't let this deter you from considering this software.