An enterprise grade CRM solution featuring customization and integration capabilities, and an open architecture for a personalized user experience. It can be deployed either on-premises or in the cloud.
N/A
Salesforce CRM Analytics
Score 8.4 out of 10
N/A
Salesforce CRM Analytics (formerly Tableau CRM) 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.
$125
per month
Tableau Desktop
Score 8.4 out of 10
N/A
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.
$75
per month
Pricing
Oracle Siebel CRM
Salesforce CRM Analytics
Tableau Desktop
Editions & Modules
No answers on this topic
No answers on this topic
Tableau
$75
per month per user
Tableau Enterprise
$115
per month per user
Offerings
Pricing Offerings
Oracle Siebel CRM
Salesforce CRM Analytics
Tableau Desktop
Free Trial
No
No
No
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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All pricing plans are billed annually.
More Pricing Information
Community Pulse
Oracle Siebel CRM
Salesforce CRM Analytics
Tableau Desktop
Considered Multiple Products
Oracle Siebel CRM
Verified User
Engineer
Chose Oracle Siebel CRM
Siebel is suitable for a large organization as it has a comprehensive integrated functionality with great performance that suits customer service, marketing and sales. It supports complex security guidelines. It has complete development and deployment manager that can keep …
We evaluated several companies for marketing before the purchase of Siebel in 2010. However, Siebel was already being used by our sales organization and it was already decided prior to us interviewing other companies that we would be buying Siebel. The dog and pony show for the …
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 …
Tableau is a great product that becomes better every year, but Salesforce is more popular and has more integration options and we had used Salesforce before, so most of our team members already knew how to use it and what features it has. Maybe in the future we will consider Tab…
Salesforce analytics cloud was selected for its client management capabilities that were already setup internally. As an analysis tool, Tableau was the most valuable tool, but it didn’t have the CRM capabilities of the Salesforce ecosystem.
Salesforce Analytics Cloud is easier to integrate with Salesforce since it has a native integration and connection point. It does lack in functionality compared to heavy tools like Tableau and Microstrategy. If you want more functionality and are not currently using Salesforce …
Have used Tableau before which is my all-time favorite. I would recommend Tableau over any other BI tool. It is widely known, widely used, and easily imported into your business no matter what other software or tools you use.
Tableau is more of a developer tool and for non-technical workers, it is hard to learn. The product is superior to Einstein Analytics, but if the first goal is to get this out to an entire company, then Salesforce is the way to go. For the technical workers, the limitations of …
Compared to Tableau and quicksight, [Salesforce Einstein Analytics (formerly Wave Analytics)] is quite similar and the preference depends on which database you use. Quicksight is more useful if you are using aws service and Salesforce Einstein Analytics is better if you are …
We had homegrown systems before this, so it wasn't necessarily like a competitor or something else. It was all homegrown systems that we did. It was all Siebel based, so very old CRM system that we kind of did a new user interface on top of. But nothing real recently that we've …
[Salesforce Einstein Analytics (formerly Wave Analytics)] is far far better than these alternatives as everything can be done on single platform from data extraction to data transformation. Sharing of data is very easy and secure. One dashboard is suitable for different users …
Salesforce needs fully baked data for its architecture and design to give you the best results you deserve. Teams not having used Salesforce previously take some time getting used to EA. But its ability to give the data points for KPIs to the sales team in real time and to the …
Our company also uses Tableau Server - also provides valuable visual insight into data but not as easily accessible as the Analytics cloud through our Salesforce tech stack.
Tableau Desktop is the market leader when it comes to creating interactive and appealing graphs and charts. The beauty of the tool is that is can work with almost any kind of back-end source and in real-time take the data and present you with an amazing insight based on the …
Most companies are going towards visualization tools and products like Tableau. It's user-friendly, offers unlimited options and, best of all, looks pretty!
As an end user, I would not recommend this solution for enterprise deployment. Lack of support for modern browsers, slow performance, and poor searchability - these things set Siebel CRM in the rear of the pack. There was no great mobile solution either, so that can be bothersome especially for road warriors like myself.
For us it really comes down to that book management and next best contact for our advisors. When we're thinking about a book of business that may range, depending on the advisor, from 400 clients to a thousand clients, how do they really optimize their time? Who do they call next? Who do they work with to make sure not only they're keeping those clients engaged, they're not leaving the firm going to other advisors who they haven't talked to in a while who might need their attention. That's really where that CRM analytics is really proven pretty powerful for us.
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
Great data model: the out of the box version comes with standard objects that support most of the industries business models: Finance, Communications, Utilities, Public Sector, Life Sciences to name a few.
Ease of implementation: implementation is done by configuring standard objects or creating new objects; additional level of customization via script is also possible.
Lots of resources available on the product
Supported by Oracle one of the world leader in IT
Multiple developers can configure and test concurrently in their own workspace and then merge the result in the main application.
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.
Migrations between environments is one area that could be improved, with tools to compare and move data elements (source vs target).
Easier ways to identify, through email or a web page, the health of the overall system (components, marketing campaigns, tasks, servers, etc).
The UI seems to be improved with the newer versions of Siebel, but I believe it requires a lot of new features. It seems that other CRM solutions that are cloud-based are putting a lot of emphasis on the Usability and presentation, things where Siebel may need to catch up...
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.
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.
Oracle Siebel CRM is an older Sales CRM, so many of it's features aren't as current as ones used today. However, it has a smoother and easy-to-use UI. We're glad that we can still access Oracle Siebel CRM because it's easier to find older information that we can't easily find in our Salesforce Lightning CRM tool.
For someone who don't have coding background, this could be a useful tool and fairly easy to learn and use given the good support. However, if you know other open source tools, it would be much easier to use the other tools and the knowledge is more transferable in the future.
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
We no longer have support for our Oracle Siebel CRM. When we did, the support was slow to get some things fixed, therefore, there was a lot of downtime. Of course, this slowed down our overall productivity and increased our overall frustration with the tool. However, it would be nice if we still had some support with it since we still do access it from time to time.
I was not able to be in interaction much with Salesforce support team since every feature works the way it should be working. So far I have not experienced any bug or major glitches that would delay the result of my work and performance. There is also a hotline in our company for Salesforce issue but so far I have not used it.
Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.
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.
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
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
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.
We also connect to Oracle Business Intelligence, which is not even an option of the list of products above (that's always encouraging when products are missing from lists!) This connects to campaigns in Siebel along with users writing reports based on data from Siebel. I don't think OBIEE stacks up that great with other systems because it seems to be lacking in reports, and those who can make them have to be quite technical. Oracle Database I think stacks up because of how robust and speedy (at times) it can be
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.
I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.
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.
This has all my company needs for sales analytic. It has helped our call center and the sales portal become more lean and require less resources for their day-to-day.
We use its research and direct email capabilities and use it to target specific groups of potential clients. We have seen an improvement of nearly 20%.
We have clients who have used a few modules like bill summary, campaign management and customer information. Oracle Siebel CRM has helped them reap ROI within a year from going live.
I would say it's been positive just because as a company, anyone that has access to it can go in there and pull any company information and we're very up to date then on all of our client base. So I would say it's been a very positive impact.
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.