Spotfire Data Science vs. Veeva CRM

If you have an analytics department, Data Science is perfect for making analyses quicker. Data Science works well for web querying, automating analyses, sharing advanced analyses with others, and performing lots of other advanced analytical processes. Data Science is not a good fit if the analytics you do is stuff that Excel can do. The software is powerful, with lots of features, and unless you actually plan on using those features, it's not worth paying for.

Incentivized

Good for larger teams with a lot of activities and therefore a good justification for the investment. Great for 'as above' + the companies looking to integrate Veeva CRM with other Veeva offerings, such as Align, Inslight, Zinc/PromoMats etc. Not so great for smaller organisations or those with more slightly more restricting budgets.

Incentivized

• It has a great user interface, easy to navigate and learn on the fly.
• There are lots of great options for data organization and analysis! Makes it a handy tool for presentations as well.
• A collaborative ability is highly valued for my company where we often work from home or on site. Being able to share the data with those in the office so multiple people can look at it is a great tool!

Incentivized

• Commercial Cloud
• Sunrise UI
• Multi device support from browser, iOS devices

Incentivized

• Unfortunately, some functionality is hidden per upgrade to other versions. Feel data mining functionality would be useful, but not budget for software. At the current price point, would have expected more (such as Mathematica breadth of functionality for one price).
• It is light on optimization capability.
• Slow when considering very large datasets, performing things such as distribution identification

Incentivized

• There is no offline version of the app so it is hard for field staffs to access where internet connectivity is not strong
• Can be expensive specially for a smaller company as it is based on SAAS platform

The company is hesitant to spend this much on software. They are primarily an engineering firm, and they don't understand the use of analytical software for environmental professionals.

Incentivized

I prefer Spotfire Data Science's approach. It is more natural and fits the way I think. I prefer to use Spotfire Data Science's VB for writing macros. It is real code, meaning that I do not need to trick the software to do what I need and there are no implied loops over solving simple problems. The graphs are publication quality and can be edited by hand or using a macro if I am building hundreds of them. Spotfire Data Science had a user-friendly approach to building lengthy data processing streams (in its workspaces). It is just so fast for analyzing a dataset that you have never seen before and efficient for ongoing work on the same data.

Better for field based medical personnel when recording Medical calls.

Incentivized

• Our company has had the program for less than 1 year. We don't expected a positive return this year. The goal is for Data Science to led to defined projects by the end of the end of the year and implementation in the following two. Overall, we are planning on 4 years to fully recoup the cost of the software and the cost of implementing identified projects.

Incentivized

• Oftentimes it is the field sales force that heavily influence the choice of the CRM solution. It appears that many of our field sales force prefer Veeva. Happy reps = more actively used CRM = clearer understanding of the reps' activities.
• Veeva offer 2 implementation versions - out of the box implementation (around 6-8 weeks to install) and 'all singing, all dancing' implementation (based on the length of your specific string). You can pick one and therefore influence your ROI accordingly.
• Again, as Veeva CRM is pretty much a de facto CRM solution, this is good for scalability if/when rolling it out across multiple regions/branches

Incentivized