Suraj Nayak

For Any Development in Data related Project (Database, Data Warehouse,ETL,BI,Datascience,Data Mining) there are three important steps 1.data Gathering and 100% data understanding, 2.Requirement understanding and Validating data availability 3. Development So if you complete first two steps then for doing the development (Dashboard) is just few hours On an average people spend 80% time in first two step and 20% on development. And From any other BI tools in the world Tableau Dashboard Development Time is Far less

Tableau Top Benefits – and Limitations Many reviewers would agree that the top benefits of the Tableau platform involve the ease-of-use, quick visual builds, and useful and transparent dashboard results that this BI tool is known for. Tableau can, in general, be used by nearly anyone without a lot of advanced technical knowledge. This, in a sense, makes this platform a leader for quick and easy analysis, and for creating visual results that a wider audience can use. At the same time, it is hard to bill Tableau as a ‘full enterprise’ platform, or at least, a big data leader, based on existing analytical limitations. Some suggest that this tool should be combined with other more comprehensive big data handling offerings, especially for extremely large data sets. Microstrategy Top Benefits – and Limitations Microstrategy relies upon the breadth of its applications, the consistency of its repository-driven data handling processes, and its versatile relational database tools. A software development kit allows for customization and compatibility. There is also the ability to handle large and diverse data assets and provide enterprise-level handling and analysis. At the same time, this platform can require more expertise in terms of formatting and displaying results. There is generally a bigger need to work with the interface tools to craft something that’s transparent and easily digestible. That means Microstrategy may be less useful for some kinds of tasks that are more aimed at pushing easily aggregated data points than really digging into a full field of enterprise data. The above helps to characterize the attributes and appeal of each of these winning business intelligence systems for enterprise. Other concerns will relate to the compatibility of a platform within an IT architecture, the specific needs of a business, and cost. Use a platform engine like SelectHub to compare enterprise software choice side by side, and make selection easier. Also Check https://comparisons.financesonline.com/microstrategy-vs-tableau-software