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TargetTech defines BI as a technology-driven process for analyzing data and presenting actionable information to help corporate executives, business managers and other end users make more informed business decisions. Gartner says that BI is an umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and […]

The information you are reading is more than 2 years old and may be outdated. Read new blogs.
The information you are reading is more than 2 years old and may be outdated. Read new blogs.
The information you are reading is more than 2 years old and may be outdated. Read new blogs.
The information you are reading is more than 2 years old and may be outdated. Read new blogs.

If you’re like most companies, you rely on multiple data sources, each with different reporting tools to manage company information and analysis processes, but you need to bring together all of that data for richer analytics.  This article will discuss data warehouses as the solution.

Almost all companies of any size are relying on multiple data sources for company information, such as an Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Payroll, and vertical industry systems, perhaps as well as data sitting in manual spreadsheets.  Even if you have a great accounting system report designer or pre-built online analytical processing (OLAP) cubes as one of your data sources, one of the biggest ways for management to make sound business decisions requires the ability to utilize financial reports and/or dashboards to look across all of your company information.  Unfortunately, each of the data sources or systems typically have their own unique BI tools.  And that’s where a data warehouse comes into the equation, likely solving this prevalent business problem.  This article will discuss the benefits of a data warehouse (DW) as a solution to data management with a Microsoft SQL Server.
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