D&B Lattice (formerly Lattice Engines) was a Predictive Lead Scoring solution that blended the contact profile and behavioral information from Marketing Automation systems with additional attributes that could contain hidden buying signals. The product has been discontinued.
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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.
Lattice has been difficult to work with in the past few months. We've struggled internally to try and improve their models, but it hasn't proven itself to offer substantial value. We're able to suppress low quality leads, but Lattice also promotes some questionable leads at times and also grades high potential leads as low scoring. We've tried time and time again to improve the model, but they haven't offered much in terms of help or partnership.
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.
Ease of use. It is a no brainer for our sales teams. They go through just 10 minutes of training. It is very prescriptive and clear. There is a minimal amount of flipping to get through what they need to. Everything is just on one screen.
Integration to Salesforce.com. The level of integration today is moderate. It integrates opportunity to opportunity. As soon as a sales person converts, it flows.
They are highly responsive as a vendor. If there’s a field that we want to add, they will adapt the product for us very quickly.
The model for professional services (fee based) is very flexible. It’s as much as you need. They advocate high service level for ramping new regions, and are very flexible with feet on the ground and helping out.
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.
Detailed technographic information - we had a lot of issues with Lattice not being able to identify specific technologies being used by a company, which would be able to provide us materially different context as a seller.
Model is built once and is static until refreshed - do not get meaningful feedback into the model in real-time
Hard to identify which attributes are meaningful enough to include as enrichment in SFDC.
I will continue to use PRISM, especially now, because I after 3 years in the same geography, I have just transferred to a new territory. The tool really helps me focus on the best opportunities to pursue, which can sometimes be difficult with over 100 assigned accounts
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.
The product is part of a service. The team from Lattice did a great job of supporting us and of delivering the results we set out to attain. They became an integral part of our success.
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
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
Please see my answers to the previous question. We had very good feedback from our product management, strategy and sales leadership and reps regarding our training.
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
The implementation hit the milestones we established. Lattice was VERY committed to helping us make sure what we committed back to the organization was met.
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.
Lattice was an incumbent tool from several years ago. Early on, we enjoyed a good relationship with the team there. After the acquisition, we have definitely seen a decrease in the quality of support and engagement from the team. As a result, we will look at several competing vendors when our contract ends with Lattice.
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.
We have seen quantifiable ROI when our reps have used the product to target accounts. In a recent example we found that accounts that targeted these "hi-po" accounts identified by using Lattice analytics created over $27M in pipeline over a month long period for a key product we are interested in selling more of to customers, compared to a less than $1M for accounts that were not identified as "hi-po".
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.
