Plotly Dash Enterprise Reviews

My company builds products. With the help of Plotly, the dashboards and reports my company builds are used by our clients. My company uses Plotly to present our data to clients so that they can understand and improve their performance.

My company uses Plotly as it is a very light and flexible tool. We use the free version of the solution based on our requirements. With a bit of technical skills, anyone can use Plotly. Any data analyst can use Plotly with a very small amount of training.

I believe that the price of the tool's paid services is on the premium side, so the pricing model can be considered for improvement.

I have been using Plotly for nearly more than an year. My company is a customer of Plotly. I use the latest version of the solution.

It is a stable solution. Stability-wise, I rate the solution a seven or eight out of ten.

I have not encountered any troubles while using the product, but I feel that it has some feature limitations.

It is a scalable solution. Scalability-wise, I rate the solution a nine to ten out of ten.

In my company, there are around five resources that use the product. My company's clients use the product a lot on a daily basis.

I use the product twice a week in my company before I get any call from our clients.

My company gets a lot of support from blogs and GitHub. Everything is good with the technical support. I rate the technical support an eight or nine out of ten.

My company has been using Power BI for many years. My company has experience with Tableau aswell.

My company switched to Plotly from Power BI since the former allowed the flexible use of certain views. Plotly's link with Python language made it here for our company to get the views that we wanted. Plotly was used to overcome certain limitations related to views, especially when it comes to the creation of custom views.

I rate the product's initial setup phase a nine or ten on a scale of one to ten, where one is a difficult setup process, and ten is an easy setup process.

The solution is deployed on a private cloud.

The solution can be deployed in a day or two since I had to set up a lot of custom views., after which the deployment process can be managed in a few minutes.

One of our company's in-house teams managed the product's deployment phase.

Plotly has been a good product, and it has only been a few months since my company started using it. Based on the scalability and client adaptability, my company should be able to get a fair return on investment.

It is an open-source tool. My company hasn't explored Plotly's premium services yet, but I believe the prices are on the premium side.

I rate the product price as five or six on a scale of one to ten, where one is a low price, and ten is a high price.

I am only in the picture when there is some decision-making process that happens with Plotly. Plotly is mainly used by the team in my company.

There is hardly any requirement for maintenance until and unless we change the views and colors or add additional views. Maybe a few hours are required every month to take care of the product's maintenance phase.

I rate the overall tool an eight out of ten.

In my approach to data analysis and presentation, especially when dealing with a substantial amount of code for data processing, I find Plotly to be a valuable tool. After running the code and obtaining results, I focus on presenting these results using it acceptably. 

When reviewing and interpreting data, I typically examine it in a tabular form to understand its structure. However, when explaining or presenting the findings to others, I often use visualization tools such as Plotly. These tools allow me to create visual representations of datasets. 

The tool needs to improve its pie charts. Regarding Plotly, I find the online documentation somewhat challenging to navigate, especially when dealing with many parameters. Searching through thousands of parameters can be a tedious and less straightforward process. While the documentation is available online and serves its purpose, I often encounter difficulties in finding the information.

I haven't contacted the tool's support. 

In my experience, I primarily work with R when using Plotly. However, I understand that the integration of Plotly with Python is also excellent. I'm working with a sales and marketing consultancy that has operated for 20-30 years. They are transitioning to incorporating machine learning, AI, and statistical analysis into their traditional methods. The consultancy primarily works with B2B companies, recognizing that B2B firms with a limited pool of potential customers tend to be less engaged in social media than B2C companies. The focus is on platforms like LinkedIn, Facebook, and Instagram while acknowledging that TikTok is not considered valuable for their analysis.

The consultancy actively uses large language models to analyze various aspects, such as social media engagement, and assess how companies present themselves. In statistical and analytical terms, we aim to create impactful analyses for our clients. The approach involves comparing the target company with four to six similar companies, keeping the identity of these competitors confidential. Our goal is to assist clients in understanding their position in the market and provide tailored insights using modern tools. The focus is on identifying areas of weakness and highlighting strengths to refine sales and marketing efforts.

To make this process effective, we utilize Plotly, as they offer impactful presentations. Building databases of company data and conducting analyses on various aspects like websites, social media, and other marketing presentations, we present comparative analyses of how a particular company stacks up against its competitors.

I rate the overall product a seven out of ten.