GTM Workspace Powered by ZoomInfo vs. Spotfire

A scenario wherein ZoomInfo Sales is well-suited, as I said, is good for giving you the details, the intent, and scope for a specific person working at a very specific company, and also the initiatives that are currently going on in the organization. When it comes to updating a contact's email and phone number, it does so very accurately. Apart from that, the call script feature generates a call script immediately after the call connects, in three to four seconds. Then there is a customer mapping filter where you can find similar customers to your existing ICPs. And then when it comes to maybe the things or scenarios that are less appropriate, it's again the Chrome extension part. Also, on the onboarding part, we have experienced that the onboarding did not go that smoothly. The email generation part that ZoomInfo claims is quite good. For us, the result that came out was all four to five of our emails, the email template that we had made in ZoomInfo. So all these four to five emails had the same body, the same subject line, just we can say 98% of the email were same, just 2% change in them. And there is no scope for automation. You have to process each and everything manually, even today in ZoomInfo.

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A high level of data integration is available here it supports various data sources and so on. Collaborating features allow users to give access to the dashboard and merge data analytics with other team members. It can meet the demands of both small and large size business enterprises. A customized dashboard and reports are provided to meet the specific needs and get support of extensibility through APIs and customized scripts.

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• Zoominfo provides us scoops regarding any new upcoming project or pain points (difficulties) facing by certain companies which helps a lot in our business to contact such companies.
• Zoominfo gives us the exaction info such as email address, Direct or Cell phone number of particular contact which we want and we don't get anywhere except zoominfo
• Zoominfo has huge database. Intent is one of the favorite section where we get the exact info about the companies/industries which we want
• Zoominfo Connects with Hubspot which is another benefit for us to add any specific contact directly to our HubSpot app.

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• It has the best coding integration (python, R) of any BI product
• The ability to work with very large datasets (10 mil+) is better than competitors
• Export options are more complete and have better functionality
• The data canvas is the best tool to join and transform data vs. competitors

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• For initial users, the system can be a little overwhelming. A ZoomInfor SalesOS Basics guide could be beneficial to keep new users from feeling lost amongst all the options.
• Clearer instructions on how to set targeted search parameters for inbound information would be beneficial.

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• The donut chart is I guess a powerful illustrations but I hope it should be done quite simple in Spotfire. But in Spotfire there are lots of steps involve just to build a simple donut chart.
• Table calculation (like Row or Column Differences) should be made simple or there should be drag and drop function for Table Calculation. No need for scripting.
• Information Link should be changed. If new columns are added to the table just refreshing the data should be able to capture the new column. No need extra step to add column

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I'm not the contact. But I see it is where things are moving and if you don't have the information ZoomInfo gathers and continues to be more honed in on our customer or prospective customers, we will lose any advantages we once had and will be left behind.

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-Easy to distribute information throughout the enterprise using the webplayer. -Ad hoc analysis is possible throughout the enterprise using business author in the webplayer or the thick client. -Low level of support needed by IT team. Access interfaces with LDAP and numerous other authentication methods. -Possible to continually extend the platform with JavaScript, R scripts, HTML, and custom extensions. -Ability to standardize data logic through pre-built queries in the Information Designer. Everyone in the enterprise is using the same logic -Tagging and bookmarking data allows for quick sharing of insights. -Integration with numerous data sources... flat files, data bases, big data, images, etc. -Much improved mapping capability. Also includes the ability to apply data points over any image.

The sidebar is seamless, and it's easy to navigate, unlike other tools. I like that the advanced search isn't too complicated, either. Sometimes, I wonder if I'm not using the tool to its full capability, but it's great for a combination strategy of sales navigation and Zoom.

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Basic tasks like generating meaningful information from large sets of raw data are very easy. The next step of linking to multiple live data sources and linking those tables and performing on the fly analysis of the imported data is understandably more difficult.

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Even though, it's a rather stable and predictable tool that's also fast, it does have some bugs and inconsistencies that shut down the system. Depending on the details, it could happen as often as 2-3 times a week, especially during the development period.

Generally, the Spotfire client runs with very good performance. There are factors that could affect performance, but normally has to do with loading large analysis files from the library if the database is located some distance away and your global network is not optimal. Once you have your data table(s) loaded in the client application, usually the application is quite good performance-wise.

I never used it

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Support has been helpful with issues. Support seems to know their product and its capabilities. It would also seem that they have a good sense of the context of the problem; where we are going with this issue and what we want the end outcome to be.

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The instructor was very in depth and provided relevant training to business users on how to create visualizations. They showed us how to alter settings and filter views, and provided resources for future questions. However, the instructor failed to cover data sources, connecting to data, etc. While it was helpful to see how users can use the data to create reports, they failed to properly instruct us on how to get the dataset in to begin with. We are still trying to figure out connections to certain databases (we have multiple different types).

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The online training is good, provides a good base of knowledge. The video demonstrations were well-done and easy to follow along. Provided exercises are good as well, but I think there could be more challenging exercises. The training has also gone up in price significantly in the last 3 years (in USD, which hurts us even more in Canada), and I'm not sure it is worth the money it now costs (it is worth how much it cost 3 years ago, but not double that.)

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There would have nice while providing a great platform to use, to have an in person class to show how it would best serve us and to navigate. Nothing was provided to myself outside of having a sign on and the preloaded steps to get through basic processes

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The original architecture I created for our implementation had only a particular set of internal business units in mind. Over the years, Spotfire gained in popularity in our company and was being utilized across many more business units. Soon, its usage went beyond what the original architectural implementation could provide. We've since learned about how the product is used by the different teams and are currently in the middle of rolling out a new architecture. I suggest:

• Have clearly defined service level agreements with all the teams that will use Spotfire. Your business intelligence group might only need availability during normal working hours, but your production support group might need 24/7 availability. If these groups share one Spotfire server, maintenance of that server might be a problem.
• Know the different types of data you will be working with. One group might be working with "public" data while another group might work with sensitive data. Design your Library accordingly and with the proper permissions.
• Know the roles of the users of Spotfire. Will there only be a small set of report writers or does everyone have write access to the Library?
• ALWAYS add a timestamp prompt to your reports. You don't want multiple users opening a report that will try and pull down millions of rows of data to their local workstations. Another option, of course, is to just hard code a time range in the backing database view (i.e. where activity_date >= sysdate - 90, etc.), but I'd rather educate/train the user base if possible.
• This probably goes without saying, but if possible, point to a separate reporting database or a logical standby database. You don't want the company pounding on your primaries and take down your order system.

There’s a few not listed. All in all, ZoomInfo Sales is an essential tool if you’re hunting hard and often. The AI functionality is superior to anything else I’ve used. However, if you’re a come and go, now and then prospector you can get by with other search engines that are “static” or seeming to be lacking in current data. LI Sales Nav is great, but you’re not going to get ahold of normal mid level people on there, and contact details are protected. The biggest competitive benefit here is you get everything you could possibly want to know, I’m not aware of any other product that can hang.

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Spotfire is significantly ahead of both products from an ETL and data ingestion capability. Spotfire also has substantially better visualizations than Power BI, and although the native visualizations aren't as flexible in Tableau, Spotfire enables users to create completely custom javascript visaualizations, which neither Tableau or Power BI has. Tableau and Power BI are likely only superior to Spotfire with respect to embedded analysis on a website.

In an enterprise architecture, if Spotfire Advanced Data services(Composite Studio),data marts can be managed optimally and scalability in a data perspective is great. As the web player/consumer is directly proportional to RAM, if the enterprise can handle RAM requirement accomodating fail over mechanisms appropraitely, it is definitely scalable,

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• Zoominfo Sales has reduced our company research effort by at least 80%. We now have all the information in one place.
• TAM (total addressable market) data accuracy is significant.
• AOP planning is flawless, i.e., allocating budget, sales resources, etc., by territory.

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• It is costly, so not suitable for small scale implementations.
• Dashboards are as good as the developer, so need experience to get most out of it
• You need to be on Spotfire 11 at least to implement out of the box visualizations
• Integration with Python and R is a game changer, it comes very handy to onboard data scientists without much hassle
• performance is exceptionally well.
• Secure

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