Looker vs. Plotly Dash

When you need to create a centralised dashboard for multiple stakeholders that blends cross-channel reporting. As an SEO agency reporting for clients - Looker is a great solution. It's less appropriate depending on the intended users. For instance, in my experience Looker reports have been under-utilised because they're not accessed regularly, provide too much noise or often simple PDF reports are preferred

Incentivized

Plotly Dash suits well where you need to build a web-based reporting tool as a minimum viable product. You will be surprised when you build your first hosted web-based reporting tool in a few minutes without the need for web development expertise. However, when it comes to building a more complete solution, you may feel a bit restricted by the options provided by the API. But as you imagine, this is the cost of the abstraction of the web development layer, in other words, simplicity vs completeness. Still, Plotly Dash is a powerful option whenever you prefer simplicity over completeness.

Incentivized

• It is very easy to start a new dashboard and configure what you want to display by just selecting/dragging from the list of available columns.
• It is intuitive, mainly if you use other Google services like Google Sheets.
• The look and feel is modern and nice.
• It it very useful to have an immediate visual overview of the data in a spreadsheet.

Incentivized

• Simple codes to create quick graphs.
• Nice exportable figures.
• Good for the initial exploratory analysis of the data.

Incentivized

• I wish I could get more granular in the Google ad data, such as down to the campaign type, instead of having to see only all campaigns.
• The setup can be time-consuming if you're not using the product regularly.
• Editing the dashboard requires a few logins; I wish it was more seamless.

Incentivized

• React JSX syntax support can be added/improved.
• Built-in UI components can be improved.
• The API used for AJAX calls can be made more understandable and simpler.

Incentivized

We are very haooy with Looker, it provides us with all the funciomalities we need for both the day to day oerformance tracking and longer periods reporting. It is easy to use for account managers, configurable and customizable for soecialists and what is most imoortant, our clinets generally really love it

Incentivized

Looker is relatively easy to use, even as it is set up. The customers for the front-end only have issues with the initial setup for looker ml creations. Other "looks" are relatively easy to set up, depending on the ETL and the data which is coming into Looker on a regular basis.

Incentivized

No objections

Incentivized

Somehow resources heavy, both on server and client. I recommned at least 50Mbs data rate and high performance desktop comouter to be abke to run comolex tasks and configure larger amount of data. On the other hand, the client does not need to worry when viewing, the performance is usually ok

Incentivized

Never had to work with support for issues. Any questions we had, they would respond promptly and clearly. The one-time setup was easy, by reading documentation. If the feature is not supported, they will add a feature request. In this case, LDAP support was requested over OKTA. They are looking into it.

Incentivized

Very satisfied, easy to implement

Incentivized

In my opinion, Looker is no Power BI. It is good, but I think Power BI is amazing. That said, in my experience, Power BI is nowhere near as easy to setup and report on Google services as Looker is. We plan to continue using Power BI for c-suite and corporate reporting, especially for internal databases, but will gladly use Looker for our marketing information for AdWords, Analytics, Search Console, and YouTube.

Incentivized

Incentivized

• Other than some people not liking the numbers, I don't see any negative impacts; we haven't experienced that.
• The reports help us unravel the story of our users and how they are sifting through our pages.
• Our clients enjoy seeing the numbers to understand better what stands out on their sites.
• The reports have helped us see what campaigns are working and where we need to tweak things.
• The reports have enabled us to have better conversations with stakeholders about how their web pages should be modified, edited, etc., to reflect the data.

Incentivized

• Reduce product monetization lead time
• Real time performance monitoring
• Deep learning to allow better marketing segmentation models

Incentivized