23 Jul 3 reasons why data warehouse automation reduces time to value for BI projects
Posted at 15:47h in Microsoft Business Intelligence, Time reduction, Value Added Business Intelligence
Having a people first approach means that the business intelligence and analytics projects we execute deliver value, and do so in a very collaborative and iterative fashion. Thus creating a strategy that fully guides a company through the maturity model of data and deriving value from it. Having this understood firmly, one of the ways we jump start business intelligence projects is through our data warehouse automation tool.
Data Warehouse Automation – Solution Domains
With this we are able to quickly delivery insights across multiple domains within a given organization. We take the burden out of understanding the highly normalized schema of Microsoft Dynamics AX and NAV and generate a Kimball best practices data warehouse that speaks in your business language, or semantics.
The following then are 3 reasons why data warehouse automation reduces time to value for Microsoft Dynamics ERP customers business intelligence needs:
Instant insights – Instant common insights across areas of your company with 100+ measures / KPI’s that scales across sales, finance, supply chain and more. Allowing a foundation in which your business intelligence strategy can be built to form a single semantic layer.
Bridge your business and technical users – With the generated data warehouse, a common ground is created for both business and technical users. Further with our people first approach to execution your technical resources leave the report factory and can deliver on the real needs the business demands.
Quickly extend for deeper insights – Ability to scale across all your companies data assets in a dynamic fashion that continues to add value. Having the data warehouse primed and filled with your Microsoft Dynamics ERP data enables faster focus around external data sources you need answers from. Manufacturing execution, Retail, POS, ecommerce all become valid targets to bring within the scope of the data warehouse for deeper companywide insights.