DemandTools vs. Tableau Desktop

DemandTools is good for almost everything related to mass data manipulation. The only scenario I haven't tried using DemandTools and was recommended to use Data Loader for was inserting records while keeping the original created date. The issue was that we had a disconnection with an external messaging partner, and when the records were retrieved, a few days had passed since the original day of the incoming messages. To insert the messages while keeping the original created date, DataLoader was helpful. I am not sure how to do that in DemandTools. But again, for everything else, DemandTools is a lifesaver.

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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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• PowerGrid can review and make the updates simultaneously.
• Single Table Dedupe makes merg[ing] the records easy and can make updates at the same time.
• BulkBackup [is] just one click, majority data got updated.
• Scenarios save a lot of time for similar working load.

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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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• I wish I could make changes to my existing scenarios using save rather than having to create a whole new scenario. Maybe you can, I just haven't been able to.
• Some features aren't user intuitive and it takes a while to learn.

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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

It's a great product. The only thing that holds us back is it was frustrating working with their sales team. We also don't like that when Validity purchased DemandTools they immediately started charging us quite a bit while it had been free for non-profit users when CRMFusion owned it. They also don't let you buy it for just 1 or 2 seats, you have to pay, I believe, in batches of 100 seats.

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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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Allows for control in uploading lists, saved processes for checking duplicate records.

Allows for backup files and quick reverts if something goes wrong.

Extends reporting when Salesforce.com cannot support specific pieces of info being put together in a report.

Automated processes for set and forget hygiene tasks

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.

There has not been a time since I started 9 months ago that I've encountered any kind of downtime.

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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.

DemandTools is a bit clunky and slow at times

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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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Support can be slow so do not expect quick turn for urgent issues.
Help for specific queries not not there. Product tech support is offered. It would be great if query support, even if paid, was offered
The training webinars help with the basics but not much if you need advanced functionality.

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.

The trainings are free live webinars that give you a solid base for getting started with the program. The only weakness is they don't have any advanced classes.

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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I had just started using Salesforce about 3 months before I did the implementation myself, and it was easy to do just following their step-by-step instructions.

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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Though RingLead has much more to offer in terms of automation (and it is in Salesforce rather than a separate program), DemandTools still has our heart. DemandTools is very cost-friendly and we were able to increase the value of DemandTools by programming in additional saved scenarios. I decreased admin time in the DemandTools suite by approximately 25% after implementing saved scenarios for every reoccurring update or list upload.

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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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It's done everything we've needed it to do.

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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.

• It is a tremendous time saver. It does things Salesforce doesn't even have the capability to do. Tasks that would take hours to manually complete.
• We can process a tremendous amount of data daily through one person, vs. weeks for the data to be cleaned, reviewed, routed and input.
• Saves on headcount by allowing a dedicated user to set up batches and jobs for other teams to ensure their data integrity.
• The return on investment isn't easily quantifiable but it is FELT in our department.

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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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