Planview AdaptiveWork vs. Tableau Desktop

I've been an AdaptiveWork (Clarizen) admin for the past 14 years, so I've seen much improvement since I started working with the product. I'm very happy we can utilize the hybrid mode by using the cards, I think this was long overdue but it works very well.

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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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• Many ways to acclimate to the system; documentation, videos, community, and contacts.
• Planview provides scalable customization options tailored to the unique needs of each business unit or department. Easily add or remove fields in the system. As the admin, it was easy to learn how to configure.
• Offers flexibility to adapt to existing systems and align with organizational workflows and processes. There are multiple ways to customize each part of the system to meet our 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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• When it comes to reports, it would be great if there was an easy way to roll-up the results instead of having to create configurations to summarize data.
• The consultant experience has not been great when it comes to more advanced needs for configurations. The consultants are in a different timezone which limits hours to work together and it seems hours are spent trying to determine what the requirement is and when the initial thought is that the configuration is possible, it may result in not being able to assist.
• Charts in the reports section are not able to be exported
• When pulling a report together, you need to make sure you pull from the right "item" or level. If you decide you need data that resides in another "item" or level, you need to re-do the report from the beginning.
• Because the system is so configurable and I imagine different clients use the system differently, when you need something automated in your account, where you need to pull a consultant or SME in, the person doesn't necessarily understand your configurations and how things work so they are unable to give recommendations on how to solve problems that don't impact other configurations you already have set up in the system.
• Templates cannot be updated unless they are pulled into a project and then re-saved. In the templates module, you are not able to open a template and edit to re-save. Therefore, making updates to a template can be very time consuming having to find a project to use to pull it in, make updates, re-save and then pull out. It would be great if the templates module allowed you to edit the templates and re-save.

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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

I give my renewal of this product a 9. It's only because we never know what product may come out next and how other factors in our office political environment may cause impact upon this. If I always had my way, this is what we'd settle on as our de facto project management system.

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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It is easy to configure, intuitive. The customization process is in some ways better than Salesforce.com. It has a great UI. It does however depend on how it's implemented.

The design of it is generally fine, however the ability to data upload people from a spreadsheet is an obvious miss.

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.

Sometimes it is slow when everyone is entering their time on Fridays or Mondays but other than that we rarely see downtime and maintenance notifications are well in advance.

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.

Reports: Quick to Reasonable

Most Ancillary Pages: Quick to Reasonable
(By "ancillary" I mean lesser used/master data maintenance pages - e.g. People, Customers, Individual Tasks, Milestones, etc.)

Work Plan (with 100 sub items): Reasonable to Slow

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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It's a good experience overall. Clarizen was useful when needed. It's mostly needed for advice on how to do more sophisticated actions or how to change something that was set up administratively. It's seldom used otherwise. The product consistently works, the documentation is acceptable, and the generally intuitive product is easy enough for most staff to pick up without much issue.

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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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• We worked with a Project Manager on their side. He was very good about developing a project plan to hit our goal. I think we had weekly or twice weekly calls – very steady cadence over 3 month period.
• Their PM skills were great – kept us on task. For the last week, they sent 2 people on site and they did training for power users. After that a couple of them revisited here

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.

Our trainer, Alex, is exceptional and knows the product really well. I swear he must have wrote the product himself! His manner with training is very easy going, gives you homework that is applicable to what you need to learn and stages it correctly for you. It was a pleasure to be trained by him.

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 have been able to implement AdaptiveWork pretty easily but it requires updating of resource availability and continuous training as roles change and new people join the company. Other documentation is used such as spreadsheets for longer range planning and project approval

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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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Planview AdaptiveWork was the right size, at the right price point that fit our customization and integration flexibility. It is intuitive to use but allowed us to add complexity as our needs grew

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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.

• By implementing Planview AdaptiveWork on a company-wide level, we have been able to remove the other project management tools we have been using and consolidate our costs for technology down to a single tool
• The ability to incorporate cross-departmental work and communication has streamlined our project management processes to a point where we can work seamlessly together without interruption trying to consider the gaps between tools
• Reporting capabilities from the unified tool has given our leadership insight and the ability to make strategic business decisions more effectively than ever

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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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