Power BI is a relatively new product in the market and many organizations struggle to find the correct technique to successfully deploy it in their organization. OpenBI has the expertise to provide the best consulting in the market for successful implementation which leads to a high adoption rate of the product.
Identifying the best fit license for an organization can be a tricky task. Power BI PRO is a smart way to begin with but as organizations mature Power BI premium becomes a mandate. OpenBI has the expertise to provide the best fit server location, server capacity, # of licenses required, etc. to help our clients deploy Power BI in a cost effective manner.
It takes roughly three to six months for an average user to pick the concepts of Power BI provided the individual donates one to three hours of their time on a daily basis. OpenBI knows the best learning curve for efficient training which caters to all spectrum of end users, from C Level Execs to Business Analysts.
Transitioning to Power BI does not always guarantee a successful user adoption. It requires an agile approach of development which incorporates the user needs and is built using an optimized data architecture. OpenBI provides effective consulting on the best practices of Power BI development and deployment which leads to high user engagement.
Power BI development is a hardware intensive activity and in often cases organizations adopting Power BI fail to provide the fit hardware to the report developers which leads to loss in productivity. Selecting the fit premium capacity node and the server location are also essential parameters to ensure that the reports performance is optimal.
In a realistic scenario when business requirements are to be fulfilled in a quick turn around time, Power BI Development is often done in a quick and dirty manner to meet the immediate requirement. In this process we fail to optimize the data model/ visualizations which leads to sluggish performance. OpenBI provides consulting on how to optimize your data model and visualizations to improve overall performance and data architecture.