Business Intelligence Tools Forum

Business Analyst at a manufacturing company with 5,001-10,000 employees
Jun 09 2018
Hello, Our company is looking to replace our current BI Reporting infrastructure which consists of using BIRT & Pentaho's Spoon. We've found a third party plugin that allows BIRT reports to run in Pentaho's ETL and has lasted us for 7 years.  We are now trying to replace this solution with a more scalable one that fulfils our company's main requirements: - Dynamic Emailing (Users will only receive their own data from a report) - Report Scheduler: Schedule times to send reports to users in email - ETL Capabilities - Dashboards for Management We are also currently utilizing Microsoft PowerBI for Management Dashboards but we want to explore possible solutions. Thank you!
David Tate, PMPWe currently use Qlik Sense for dynamic dashboards and reporting as one of our primary BI tools. An add on product, NPrinting, allows for Dynamic and scheduled reporting delivery via email and centralized Newsstand site. There is a large number of different data connectors including subscriptions to Publically available Big Data sources. Go to https://www.qlik.com/us/ to obtain product info and a free evaluation of the product. The product compares favorably to PowerBI and Tableau in features and pricing.
James-AndersonI have used Power BI and Qlik Sense. Qlik Sense has the edge in my opinion. Don't email static reports. Link the users to their specific reports and allow them to manipulate what they need for more insight.
Andrew MackHello: Depending on your ERP system, I would recommend BIRST BI (www.Birst.com) We currently have OBIEE but Birst was a very close second. I think Birst would be the right solution assuming you are not a primarily Oracle shop. Let me know if you have any more questions.
Content Specialist
IT Central Station
Mar 28 2018
One of the most popular comparisons on IT Central Station is SAS Visual Analytics vs Tableau Which of these two solutions would you recommend and why? Thanks! --Rhea
John LawsSelection of a tool depends on your tech environment and the intended use of the tool. If you have a strong staff with a data mart, data warehouse or data lake in place then a number of tools would work. Tableau is the 500 lb gorilla, but it isn't as nimble as Qlik, Yellow Fin, Looker or Sisense. If you don't have a large team and want an automated data mart then look at Birst. It isn't as "beautiful" as others, but does a good job of delivering what the customer requires with less work on the back end. Good luck!
Lluis PiquerasI have more experience with SAS VA not with Tableau. Weak points and strengths Tableau - Probably one of the best visualization analytic tools for final users - Cloud or on Premise - Quickly to deploy - Some specific functions to predictive analytics out of the box (linear regression, etc.) - Connectors to Big Data, etc. SAS Visual Analytics - See new features with Cloud SAS Viya (new architecture and integration with other SAS Solutions) - Powerful vision of analytics and statistics with SAS Visual Statistics in the same framework - You don’t need a Data Scientist people to develop predictive or advanced analytics models - Deploy a powerful analytics model in few moments - It supports a Big Data and a lot of connectors. Some payments - No needs code as easy to use - You can use and specific and free App for mobile users - Price: Pay for cores, not users. Weak points It needs a lot of machine resources (RAM and CPU) Very complex to install. You need specific SAS partner support Poor graphics vs Tableau or Qlik Sense Normally you need the Enterprise Guide or other ETL solution to data prepare
Gil LawareFrom my perspective, SAS is very rich but its origin lies in the programming. Therefore, knowledge in setting up programming use and direction is somewhat implied. Targeted to a more technical data science audience. Tableau, on the other hand, is focused on a visual end-user perspective. Therefore, the target is a business analyst who focuses on what the data implies - somewhat agnostic to the statistical techniques focus.
NPD Head with 1,001-5,000 employees
I am looking to develop a platform for providing user oriented reports and a analytics platform for a set of systems which collect data. There are three possible systems feeding in the data in their own RDBMS. Can someone please advise if I should go for a BI analytics tool directly or first look into integrating the data in a data warehouse or go for a Hadoop kind of data storage system. The data size presently is not enormous but would grow eventually to hundreds of TB's in 2 years. What is the starting point for this technology selection?
Sr Manager, Reporting & Analytics at a leisure / travel company with 10,001+ employees
Hi All, I'm curious to know, for those that have upgraded from a 9.x version of Tableau to Tableau 10, what would you say are the most noteworthy/valuable improvements and features?  We've yet to upgrade as an organization and I've just begun to experiment with Desktop V10, so I'm curious to know what the IT Central Station community thinks!
Content and Community Manager
IT Central Station
As Big Data is playing an increasingly larger role in decision-making and planning, even on the Executive level, are there certain solutions that are especially easy for non-technical users?
JhornberI regularly attend local Tableau meetups where different users from the community present a particular project. These are often not individuals from a technical background or role, but work within Marketing, Finance, etc.. One of the common themes from those presentations is actually the use of Alteryx for prepping, blending, and or transforming data before it is pulled into Tableau (which is generally necessary to do beforehand, as the ideal state for Tableau is a single data set). While I do have somewhat mixed feelings about Tableau itself as an intuitive user friendly tool, Alteryx seems to be very effective at simplifying the process of combining and transforming data without relying on a full scale BI team and ETL tools that require deeper technical knowledge.

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