NinjaCat is a reporting solution for digital marketing agencies. It allows users to track the spend and performance of Google AdWords, Bing Ads, Analytics, Facebook, and DoubleClick with call tracking in one interface, allowing users to monitor campaigns and deliver reports to demonstrate return on marketing investments. NinjaCat users can connect, clean, and transform marketing data in NinjaCat then ship it to any of the leading data warehouses via its API or code free replication…
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Tableau Desktop
Score 8.3 out of 10
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Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
NinjaCat offers the best of both worlds. It will not break the bank, as these other platforms can run high prices for small businesses, but at the same time offers one of the most in-depth data insights. The biggest difference though is the support team at NinjaCat. They will …
NinjaCat has been great for getting clients quickly connected to popular advertising platforms like Snapchat, Facebook, and Google. It can blend data together easily to make overall data easy to access. The template designer is easy to use (though careful there is no auto save or undo button) and you can have a client ready report done easily with one of their premade templates or customize it for your needs. The fact that I can build any metric or pull in about any information with the Google Sheet data feature makes the product far and away one of the best products I've had the pleasure of using.
Tableau Desktop is one the finest tool available in the market with such a wide range of capabilities in its suite that makes it easy to generate insights. Further, if optimally designed, then its reports are fairly simple to understand, yet capable enough to make changes at the required levels. One can create a variety of visualizations as required by the business or the clients. The data pipelines in the backend are very robust. The tableau desktop also provides options to develop the reports in developer mode, which is one of the finest features to embed and execute even the most complex possible logic. It's easier to operate, simple to navigate, and fluent to understand by the users.
It automates Client Reporting for Digital Advertising -- it's time-consuming to set up, but once it is, you don't have to do very much after that.
Adding Data Sources to your reporting. NinjaCat integrates with most digital advertising platforms, in particular, Google Ads and Google Analytics.
It Manages Client Reporting in one place -- there's no need to send reports from different platforms and stitch the information together. NinjaCat pulls all the data and allows you to customize reports for your clients and send them concise data in an appealing format.
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.
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.
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.
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
The platform is in-depth and thorough. The support team is amazing. The ability to do automations and data visualizations are fantastic. However, it does lack integrations fore taking data to the next step. Other platforms let you integrate Python and R scripts for organizing data or even forecasting. If NinjaCat were to add this, I think it would be a 10/10 and best product on the market
I have never really used support much, to be honest. I think the support is not as user-friendly to search and use it. I did have an encounter with them once and it required a bit of going back and forth for licensing before reaching a resolution. They did solve my issue though
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.
The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful
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.
Google Analytics is raw data. Reporting has improved, but it is limited to the data available in Google Analytics Only. NinjaCat combines data across all the digital platforms you use. Acquisio and Kenshoo have similar capabilities on the reporting side but are cost prohibitive due to their pricing structure. You can't just us the reporting features of either of these 2 platforms as a stand-alone feature. NinjaCat does one thing and does it well -- Automated Client Reporting of digital marketing and advertising.
If we do not have legacy tools which have already been set up, I would switch the visualization method to open source software via PyCharm, Atom, and Visual Studio IDE. These IDEs cannot directly help you to visualize the data but you can use many python packages to do so through these IDEs.
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.
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.
