Quid vs. Tableau Desktop

In my use of [NetBase] Quid, I found the tool particularly suitable for curating pertinent content. It allowed me to develop more comprehensive analysis at a larger scale, all while substantially reducing the amount of research time needed. It is also a plus that [NetBase] Quid is delivered as a web app. I did some of my [NetBase] Quid work on a low-end Chromebook without issues.

The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).

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• Their NLP is very strong with the ability to distinguish subject in sentences and then apply analysis based on either the subject or sentence. Competitors lack strong NLP and often have lower degrees of accuracy.
• The platform is highly flexible with dozens of ways to filter and cut the data. It is great for an analyst that really wants to deep dive into the data. However, the analysis done automatically by NetBase is also strong enough that less experienced users would still be able to gain insight with ease.
• The customizable dashboards are perfect for client reporting and drastically reduce the amount of time spent preparing recurring reports and decks. These are also very flexible depending on reporting needs.

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• An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
• Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.

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• Dashboards can only currently be exported as PDFs. It would be helpful to have a more read/writable format (eg. PPT) that enables us to combine Netbase's outputs with other sources, or to make them more consistent with our own branding (colours, fonts etc.)
• The business model revolves around a limited number of login seats. I would like to be able to roll out the tool to make it available/accessible to more people in the business, but the pricing model makes this impractical/uneconomical.
• Logging out users after a period of inactivity can be frustrating when multitasking/task switching and unsaved work is lost.
• While Netbase's focus on language processing is its key strength, additional functionality around social analysis (eg. people who follow a brand account, users who talk about X are also likely to talk about Y) is somewhat limited.

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• Pricing should be more user-friendly and usage-driven
• Making edits to the production reports is fairly tough and has a vast scope of additional capabilities
• Tableau Desktop should be able to differentiate itself from the Tableau server else there is no major meaning of two different products being offered

We've had a good experience using the tool and have invested quite a bit of time training the internal team on how to get the most benefit out of it. There would need to be a compelling reason or business case to port over all of our existing topics and tool know-how to another platform.

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Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.

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Very simple to use, quick to pick up on the key principles, and a task-centric design (ie. Topics to set up what you want to analyze, Analysis to do the exploration/analysis, and Dashboards to pull results and findings together to generate reports.) All intuitive, drag & drop etc.

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Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.

When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.

NetBase constantly updates the platform with features. The platforms ability to analyze complex social listening topics is exceptional. Its fast and gives you the ability to create standardized reports for a quick topic analysis. Additionally, the standard overview tab provides the topic at a glance and assists in quickly identifying areas to further analyze. Great product with excellent support behind it!

Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast

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Our support contact is always available and will spend all of the time required to make sure our questions are answered.

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Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.

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It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.

I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems

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We had an internal implementation meeting with the NetBase team as well as a business seat implementation for one of our clients. I would highly recommend having all stakeholders attend an implementation meeting as they can understand the power of this platform.

Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.

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Meltwater took too long to load whenever you had to change keywords, their customer service was not very responsive, and their interface was not very customizeable. We decided to search for a new software company and we invited many companies to present. We selected Netbase after a free trial for reasons stated earlier.

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I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.

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Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.

• Positive - NetBase allows us to quickly gather a high level over view of a topic, which helps for new business pitch and being able to inform the account teams of basic information.
• Negative - We have to use other tools to gather news, which affects our budget.

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• Tableau was acquired years ago, and has provided good value with the content created.
• Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
• Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.

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