Azure Analysis Services vs. Longview Analytics

We would have many technical issues and glitches with previous similar providers but found that Azure Analysis Services can simply handle our workload and memory better. I remember we lost an account due to cloud issues not fully saving or corrupting some files. Granted, this is rare with any cloud but haven't had that issue with the same load of memory with Azure Analysis Services.

Incentivized

It is very suitable for complete corporate BI solutions. If you see BI as embedding information into your organization and business processes, and thus as more than just a few scattered dashboards and reports, arcplan is your platform. It's less suitable for ad-hoc reporting and data discovery. It can do it (everything is possible), but there is strong competition in this area.

• Providing role based access or we can say privilege based on the role to the user if it is integrated with Azure active directory and hence securing the access to sensitive data.
• We use to run different type of analytics services to get the better result which is hectic if done manually or with human efforts.
• We also use to collect bulk of data with the help of this tool and run customized test cases for better efficiency of result and better decision making. The result are very crucial and helps in taking big decision.
• It supports different or we can say heterogeneous database vendors like the Oracle, SQL, and hence make the task easy.

Incentivized

• Excellent dashboard.
• Well advanced BI metrics.
• Better interfacing to other DW.

Incentivized

• There is very least content available on Microsoft docs and the Internet to get through with AAS.
• i faced lots of connection issues while implementation.
• The need for serious platform experience or expertise.

Incentivized

• Positioning and marketing. Most BI vendors use a non-technical sales strategy and focus on shiny, sexy dashboards to sell the story. In order to position arcplan fairly and correctly, the technical and business advantages need to be part of a sales story. So, it is not really an easy product to sell to customers, if it has to compete with now-to-wow-five-minute products.
• Learning/training for developers. It's easy to learn the basics of arcplan, because the interface is logical. But nothing prevents a beginning developer from creating a monstrous application, because there is no prescribed architecture. It really takes some experience to become a good arcplan architect. It's a disadvantage resulting from one of arcplan's biggest advantages.
• Data connectors: arcplan standard comes with a connector of your choice. Additional connectors need to be purchased separately. Many other products come with a full range of connectors.

The platform has vast number of features and modules. The UI is sleek and once you get to use to it, you will be able to do a lot of stuff. Also support for data sources is more in Azure Analysis Services.

Incentivized

Personally, I prefer QlikView not because it's more stable but simply just for the looks of the dashboard. One of my clients in Sydney recently moved from arcplan to QlikView. The reason was mainly looks and that QlikView has more training materials for the support users to train with. So in all, it does not really stack well against QlikView.

Incentivized

• The tool has helped us a lot for taking critical decision which has resulted in the increase of profit of organization by 18 percent.
• Return on investment is 70 percent as we are unable to utilize the tool with full functionalities, so we are still testing some of the use cases.
• Human effort has been reduced and task has become automated hence helped in cost management

Incentivized