MS SharePoint / SQL refers to Microsoft Sharepoint, a web-based collaborative platform, being used in tandem with Microsoft SQL Server to provide business intelligence analytics and reporting. They can provide BI content such as data connections, reports, scorecards, dashboards, and more.
N/A
Tableau Desktop
Score 8.1 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.
The ease of tagging files and folders in Google Drive, but not having to move things is STILL something significant that MS has yet to address. A file may rest in a folder, but be relevant to several other topics or projects.
Senior Analyst, Statistical Modeling and Advanced Analytics
Chose MS SharePoint / SQL
We evaluated PgAdmin, MySQL. MS SQL server provides more flexibility with integration and has demonstrated efficient run times for data processing.
Tableau Desktop
Verified User
Manager
Chose Tableau Desktop
Tableau is so much better for data visualization and analysis than Microsoft Reporting Services, but lacks the other functionalities that are included on Microsoft BI (MBI). That's why we use MBI to extract and consolidate our data and Tableau to create some advanced reports.
As I mentioned in my previous answers, MS SharePoint is very useful as a shared drive for the organization and is very easy to manage. It also helps us import data from SharePoint directly into PowerBI for creating reports. According to my understanding, only share link features should be improved.
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).
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.
This was a long-term buy-in from a corporate perspective, to remain in the SharePoint space. Migration is certainly possible, which is good for planning and having options further out. At this point, the only planned migration is to eventually move the architecture up to SharePoint/SQL 2013. At that point, we will be able to leverage some greater efficiencies, some enhanced content design and management features, and some more current social features. It is well worth a full consideration in any shop looking at a new implementation of or migration to SharePoint (although you will probably be considering 2013 versions or beyond in those discussions), but the platform should be a strong competitor to any alternatives. Realizing the capability of a fully-branded and customized website was not part of the original choice for the architecture at Lincoln, but seeing it implemented and functioning now with this capacity far beyond original expectations has certainly cemented plans to continue using it.
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.
I gave this rating due to MS SharePoint being a big help with our userbase. We have a lot of users that are just old enough to not have much technical skills or they have been in this industry long enough to where they haven't really needed to utilize much technology. MS SharePoint helped us move beyond that barrier without too many bumps and bruises.
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
I've only had to call in to support on one occasion but they were able to work though our issue and find a solution that did fully resolve the issue in a timely manner. I can't always say the same about support from other companies so it was a refreshing change to have support that did help.
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
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.
At the time of the two large projects, SharePoint was the enterprise solution so we were required to use that. We have since lobbied the enterprise teams to review and consider Atlassian Confluence and were successful. Confluence is cheaper than Sharepoint which is why we wanted to bring that in. The enterprise has now made Confluence an enterprise solution as an alternative to SharePoint. After using both I think SharePoint has many more add-ins than Confluence. It has much more customization ability than Confluence. SharePoint is not good for mobile readiness. Confluence is so there is a difference that might lead you to Confluence over SharePoint. I would also say that SharePoint is very document-centric and that Confluence has better KM than SharePoint does. even with the use of SQL Server. We were told that we could not use Google Drive even though it had features we liked.
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.
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.
