MicroStrategy Analytics is an enterprise business analytics and mobility platform. Key features include automatic big data analysis and reporting, data discovery and visualization, digital security credentials, and support for mobile devices.
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Posit
Score 9.1 out of 10
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Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.
MSTR is great for any organization that is looking for a way to deliver complicated data in an uncomplicated way. From business teams to marketing and finance, several departments benefit from using MSTR to keep track of KPIs enabling teams to make optimizations along the way. MSTR provides great visual representations of data enabling team members to distill thousands of data points into easily digestible charts and graphs
In my humble opinion, if you are working on something related to Statistics, RStudio is your go-to tool. But if you are looking for something in Machine Learning, look out for Python. The beauty is that there are packages now by which you can write Python/SQL in R. Cross-platform functionality like such makes RStudio way ahead of its competition. A couple of chinks in RStudio armor are very small and can be considered as nagging just for the sake of argument. Other than completely based on programming language, I couldn't find significant drawbacks to using RStudio. It is one of the best free software available in the market at present.
They sell the product well, and make promises you will actually believe
"checks the box" for most features a company would need. Doesn't actually deliver them though
They answer the phone in a timely manner. Can't answer your questions or provide support, but the queue time isn't bad
They have online documentation. It's not up to date, and likely doesn't reflect the version of software you are using, but hey... they can point to it.
The support is incredibly professional and helpful, and they often go out of their way to help me when something doesn't work.
The one-click publishing from RStudio Connect is absolutely amazing, and I really like the way that it deploys your exact package versions, because otherwise, you can get in a terrible mess.
Python doesn't feel quite as native as R at the moment but I have definitely deployed stuff in R and Python that works beautifully which is really nice indeed.
Python integration is newer and still can be rough, especially with when using virtual environments.
RStudio Connect pricing feels very department focused, not quite an enterprise perspective.
Some of the RStudio packages don't follow conventional development guidelines (API breaking changes with minor version numbers) which can make supporting larger projects over longer timeframes difficult.
I would always choose to renew MicroStrategy as long as they lead the market in features, functionality and price. The support of MicroStrategy is timely and professional, I frequently get answers to my questions within 24 hours and normally have solutions within 48 hours. Training available for MicroStrategy completely covers everything required to be able to expertly use MicroStrategy and understand data warehousing.
There is no viable alternative right now. The toolset is good and the functionality is increasing with every release. It is backed by regular releases and ongoing development by the RStudio team. There is good engagement with RStudio directly when support is required. Also there's a strong and growing community of developers who provide additional support and sample code.
The standard grid reporting could look more like the styling and object used for the Import and Visual Insight products. In addition, object properties almost seem to be hidden when first using the product. It's as if they are asking the engineers to only use the presets we make available...and, these presets are 10+ years old. On the positive side, Microstrategy seems to be the only product, not named Cognos, which can scale to Big Data. The product is "hackable" via the SDK or tricking the Intelligence Server to do uncommon things. The Microstrategy development team also seems to be very involved with their OEM partners; especially when it comes to features and enhancements. A large majority of the improvements we suggested have made it into the product or on the roadmap for future enhancements. Only suckas fall for the shiny objects from most other vendors; Microstrategy is really the only choice for Enterprise BI.
I think it's a quick and easy to use tool. The IDE is very intuitive and easy to adapt to. You do not need to learn a lot of things to use this tool. Any programmer and a person with knowledge or R can quick use this tool without issues.
I've never had an issue with MicroStrategy not being available due to MicroStrategy application malfunction. It is very robust and only failures I've seen were due to user error or the platform the machine running the service failed some how.
RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses
Being able to customize the performance based on the business need is extremely powerful. Proper configuration and understanding of the usage pattern is key, if the technical ability of the architect is not at top level, then the product will not be configured correctly which will lead to poor performance.
Good user community. Support team is available if you are under AMC. You get decent support after raising the support ticket. If it is product bug they will inform you and let you know which patch will resolve the same.
Since R is trendy among statisticians, you can find lots of help from the data science/ stats communities. If you need help with anything related to RStudio or R, google it or search on StackOverflow, you might easily find the solution that you are looking for.
I have attended many trainings offered by MicroStrategy; both distance and in-person training. I earned my CRD (Certified Report Developer) certification via the online training. I found the training to be well organized and concise. Overall I will definitely continue to increase my knowledge with MicroStrategy via the online training offering.
Tableau is probably MicroStrategy Analytic's biggest competitor I've noticed over time, and I'm not sure why. Tableau only covers visualizations independently for each business user, which then creates the issues of every employee creating their own version of the data, and then you have 20 versions of the truth. A enterprise data warehouse and MicroStrategy's Visual Insight is a better method.
RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful when we had R heavy code with some python threaded in. Overall we picked Rstudio for the features it provided for our data analysis needs and the ability to interface with our existing resources.
This software is extremely scaleable, one can add more core servers which performs as a load balancing. The configurations available to manage usage patterns and daily activity are as high a caliber as any other enterprise level software. This product can be installed on both a windows and unix platform allow for integration on a budget.
RStudio is very scalable as a product. The issue I have is that it doesn't necessarily fit in nicely with the mainly Microsoft environment that everybody else is using. Having RStudio for us means dedicated servers and recruiting staff who know how to manage the environment. This isn't a fault of the product at all, it's just part of the data science landscape that we all have to put up with. Having said that RStudio is absolutely great for running on low spec servers and there are loads of options to handle concurrency, memory use, etc.
MicroStrategy was helpful for reducing the amount of time we needed to spend number crunching large data sets, and in doing so, allowed me as the primary users to spend more time gleaning insights from the data that in turn informed our leadership team to make strategic decisions.
By creating numerous canned reports available to all members of the team through email distribution or basic access to the platform, we were able to reduce the time I spent showing people how to pull the data in Microsoft Excel by nearly 40% .
We ended up needing to make many changes to the way our DMP was feeding data into MicroStrategy due to incorrect reporting that caused complications in accounting and finance.
Using it for data science in a very big and old company, the most positive impact, from my point of view, has been the ability of spreading data culture across the group. Shortening the path from data to value.
Still it's hard to quantify economic benefits, we are struggling and it's a great point of attention, since splitting out the contribution of the single aspects of a project (and getting the RStudio pie) is complicated.
What is sure is that, in the long run, RStudio is boosting productivity and making the process in which is embedded more efficient (cost reduction).
