The OneView Ad Platform (formerly Dataxu, acquired by Roku October 2019) is a solution for marketers and content owners to, according to the vendor, reach more cord cutters and measure performance using the largest TV identity dataset, where advertisers can manage their entire campaigns – including OTT, linear TV, omnichannel, and more – all in one place.
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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.
Dataxu is great for running multiple campaigns at the same time. It's reporting features are great as well as the exchanges it has to offer. For a company just wanting to run one campaign, I don't think it would be worth their time learning how to navigate Dataxu; however, for a company running to run multiple campaigns, Dataxu makes the process easier. Dataxu has great customer service representatives that provide superior training whenever needed.
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.
The platform's mobile serving capacity is great; spending is always consistent and the impression numbers are some of the highest we've seen. We can always depend on this method of ad serving to get us the results that we and our clients expect.
The intelligence and audience information (found under the Reports tab) is helpful when writing a "story" for the client; it assists us in determining future targeting strategies. Custom Queries are also available under the Reports tab and these are extremely helpful when we need to view specific details about the campaign.
The dashboard's spend-to-date graphic helps us to immediately recognize what campaigns are falling behind so that we may adjust the budgets accordingly.
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.
Flagging problems. For example, if a campaign has been running a week and hasn't spent any of the budgets, there could be a setting enabling it from doing so. When you have multiple campaigns running, it's hard to track this.
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
At Haberfeld, we had our own customer service representative out of Boston. He provided superior and timely support for all of our questions and needs. He also ran test campaigns to show us what our potential impact could be before we put dollars towards anything. He even came all the way down to Nebraska to visit with us at one point. Whenever we needed something, he was quick to respond and provide appropriate resources and training.
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.
We work with multiple platforms, not solely DataXu. As of late, AdWords has proven more beneficial to us. AdWords is very user-friendly and they are easy to contact. If we need a question answered, we can simply hop onto a Google Chat and get the responses we need to move forward. DataXu is much harder to get in contact with and their Help Beta tab is not especially informative. If we need to serve impressions, DataXu is certainly the server to utilize
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.
