SalesDirector.ai is a sales forecasting and coaching tool that uses artificial intelligence to make predictions and recommendations
based on combined CRM, Email, Calendaring and call log data.
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Tableau CRM
Score 8.3 out of 10
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Tableau CRM (formerly Einstein Analytics) from Salesforce is a cloud-based business intelligence solutions and analytics software. It provides users with automated data discovery, CRM-connected analytics, top-down views of data, augmented analytics, predictive insights, and customizable data visualization tools.
If the person/ department does not have any knowledge in open source tools such as R, and Python. [Salesforce Einstein Analytics (formerly Wave Analytics)] could be a good option with no coding background required. However, if they have such human resource or can acquire these people, I would recommend open source tech and suggest not to use this tool.
I can easily see if there is communication occurring between the sales rep and the appropriate contacts at the prospect company. I can quickly see if the communication stream is a mutual back and forth conversation or if it is mostly a one-way stream from the rep to the prospect. If it is mostly a one-way conversation, this tells me something isn't right about this opportunity.
The system looks at this communication and using AI, it highlights if it interprets any negative sentiment from the prospect allowing the rep or the sales manager to dig deeper into the opportunity and see if they can discover the reason for this negative response and correct it if possible.
The software "learns" from previous successful deals we have closed and uses this information to alert us if a deal has been in a particular sales stage for longer than similar deals. And it learns who is the business decision maker or technical decision maker is for previously closed deals and points it out to the rep that they should make contact with this same position in the target company.
The software coaches sales reps on actions that should be taken, based on our sales process, at each stage of the sales cycle. And it does so without feeling like its looking over your shoulder, by recommending the rep send a "confirmation of needs" email once the deal is moved into the 30% stage.
Implementation takes time and resources. It is a heavy lift to implement and at first, it can take a little bit of time to understand what you are looking at. But once it's implemented it's easy to get started.
Without any BI expertise or resources available to your organization, the implementation of this is difficult. If you aren't used to BI tools and don't have an expert in house, the terminology can be difficult to understand at first.
Their support is not on hand to help you if you encounter any issues, at least not on all the plans or the basic plans. Real-time support service is an add-on, so you'll need to be patient if you require help or pay extra money.
More functionality for the tool is needed to compete with other heavyweights in the arena like Tableau, Qlik, and Microstrategy. Still lacks the robustness, functionality, and flexibility other competing products possess.
Overall usability is absolutely worth the price. It help me to save tons of time working on raw data in Excel file. It also minimize the discrepancy in data format when there are multiple user inputting the data. Every data inputted in Salesforce is standardized, therefore it is very easy to keep track / generating performance report even though you are having more than 20 projects recorded in Salesforce Einstein Analytics.
I have not come across any bad experiences with the support provided. Also, I observed regular updates have been implemented without breaking the tool. But in my opinion, Now Tableau CRM has huge market challenges with tools like Power BI and its spread
An implementation partner would certainly result in greater output in a more efficient amount of time. However, I have found implementation partners to be extremely expensive for the output received (at least working for a non-profit company they are frequently unaffordable). Internal implementation does help with usable output though since internal knowledge would better know the data architecture and business processes
Tableau is the absolute top of the class when it comes to business intelligence, but it doesn't make sense for every business case. In our case, we needed a simple data visualization platform for our CRM platform and sales pipeline. Salesforce Analytics, while nowhere near as robust, did the job we needed it to do perfectly in a significantly more cost-effective manner.
Positive. We have better insights into our deals. We can see when deals are getting bogged down, or when a deal may not close, even before the sales rep recognizes this.
It makes it much easier to accurately call your monthly and quarterly forecasts.
Our sales managers use it for their weekly one-on-one meetings with their rep and virtually no additional work is required of the rep or manager.
