Oracle Sales guides sellers with intelligent recommendations to help them focus on the most valuable prospects at the right time. These machine learning-based CRM selling tools center around clean, complete customer data from internal and external sources.
$65
Per User Per Month
Tableau CRM
Score 8.3 out of 10
N/A
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.
Excellent as a customer relationship management tool, sales forecasting, building better sales plan for the entire deal lifecycle using critical and complex data, a 360-degree comprehensive view of vendors, partners, customers. Ensuring high standards and consistency is maintained in pricing so that quotes are competitive for prospective customers. At the end of the day, this is an excellent tool for selling and closing deals while being able to access needed information in one place.
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 would like to see more integration with other CRMs such as Salesforce.
We have each business unit built into Salesforce and it can track the amount of gross profit that flows through our Oracle database. It then further it trickles to each sales rep and what they've closed during their time at the company. These figures are not always accurate.
It be difficult navigating to accounts and drilling down into each specific customer to understand details.
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 our organization has completely moved to Oracle CX Sales and now is able to utilize the latest technology backed by AI to provide a much better experience to customers and saving money at the same time. So it's a Win-Win situation. I believe there is a slight learning curve to derive [the] full value out of this but once you are there, you can delight your customers.
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.
The support the Oracle team gives is generally very good. They are patient, willing to help, and their training methods are collaborative and inclusive. They have conducted multiple support sessions and it’s always been a great user experience. The stellar team [is] always on hand to lend support when the right time comes and their helpdesk is always on hand to help.
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
Excellent online training material. On-demand always helps to access anytime, anywhere. Also, it is essential that in this day and age, video tutorials with actual product screenshots make the learning more useful and fun at the same time. Certifications help test knowledge gained during these tutorial sessions. This was a blessing for fresh users.
If you have never used a CRM program is is hard to know exactly what you need. We had lots of changes during implementation and even more afterward once the users started working in it everyday. Also the partner we used didn't inform us about Allotments and not being able to Batch delete custom objects (you can now in recent releases). There were so many unknowns, that if I had it to do over, I would educate myself more and ask more questions of the partner that we used for implementation.
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
As compared to other CRM, this happens to be one of the best and most affordable as there are some cons, but the pros are great, and I have seen an increase in sales by using this platform. It works great for the sales process from start to end, like lead generation to closure.
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.
When we purchased this system it was one of the more expensive options in the market. However, with an adjustment in service and a relative price structure, this has become a lot more cost-effective over the past few years. It’s now more of a middle-ranking in the pricing structure and I would definitely say this is value for money.
We can very easily pull up a customer's order and provide any detail they need. The time this saves compared to manually tracking customer orders and accounts is incredible.
Knowing exactly who is contacting customer service and what their orders status is before answering the calls makes the customer service reps job much easier than before.
