We mainly use it for high-level decision-making insights in the education industry. We also use it for operational reports and data integration between systems.
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We mainly use it for high-level decision-making insights in the education industry. We also use it for operational reports and data integration between systems.
We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services. This lets us continue using private databases without paying additional licensing fees.
Additionally, the license includes Analytics services and Power BI, which work on-premises, unlike most other technologies that require cloud solutions.
It provides multiple features under one license, which is cost-effective compared to other solutions like IBM's. We are in the education area. This is why we've mainly settled on Microsoft products.
We need better real-time analytics capabilities. It's a bit challenging for us.
Moreover, there are some permission limitations.
I have been using it for five years. We use the latest version because of app access and the latest features Microsoft provides.
It is a stable product.
There are around a hundred end users. There are challenges in the scalability due to accessing a large virtual HCM and retrieving data.
Sometimes, for common issues, we can escalate to the 24-hour Platform support.
Positive
The deployment process is easy with Microsoft Stack. It provides access to the newest features and Microsoft's ongoing development and deployment support. They've integrated DevOps pipelines for streamlined development and deployment in containers.
We had to make some custom implementations because we couldn't utilize out-of-the-box features. It might be due to our multiple requirements.
We only have on-premises solutions from Microsoft. So what I'm building is a Microsoft product, but on-premises.
Thanks to automation, we don't need a lot of people or resources for deployment. We can have an automated pipeline for deployment, like Continuous Integration/Continuous Delivery (CIDI).
Assuming no issues, a smooth deployment can be completed within an hour, potentially even faster. It depends on the changes you want to make. If management only chooses specific functionalities to update, it's generally straightforward.
It's not inherently difficult to maintain. Most maintenance tasks are routine, like performance monitoring through the portal.
We get updates, and if complex, it's costly compared to sending the information for simpler updates.
It does bring in an ROI.
It's not too confusing. It's based on features, and we don't have to buy additional licenses.
If you have already a license for Office 365, then it's a good-to-go solution.
Overall, I would rate the solution a seven out of ten.
We use Microsoft Analytics Platform System mainly for predictive analytics.
Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases.
Microsoft Analytics Platform System could have better support. Sometimes, it takes time to find support to tweak a model or get details.
I have been using Microsoft Analytics Platform System for five years.
I rate Microsoft Analytics Platform System an eight out of ten for stability.
I rate Microsoft Analytics Platform System a seven out of ten for scalability.
I rate Microsoft Analytics Platform System an eight out of ten for its ease of initial setup.
Depending on the usage we are working on, the solution's implementation can take two to three months or be really fast. It typically takes us a week to do the complete setup. However, if you're asking for a specific use case implementation, it depends upon the complexity of the problem we are trying to solve.
Many SaaS offerings in the market can give you the same results at a much cheaper rate. However, we typically use Microsoft Analytics Platform System for its ecosystem. I rate Microsoft Analytics Platform System a seven out of ten for pricing.
Users can start with a small proof of concept to see whether the solution fits their requirements, and then they can proceed with an implementation.
Overall, I rate Microsoft Analytics Platform System an eight out of ten.
