Corporations and IT specialists who have experience with various business intelligence vendors are pretty familiar with various enterprise software available. To help with that, a growing number of organizations are replacing traditional waterfall development with Agile BI and data warehousing approaches that use Agile software development techniques to break up BI projects into small chunks and deliver new functionality to business analysts on an incremental and iterative basis.
To succeed as a business intelligence engineer, you will need to acquire business intelligence analyst skills as well as BI developer skills, building on these competencies by gaining a deeper knowledge of each area of BI. You’ll also need to possess excellent project management abilities to succeed in this role.
BDA offers a data warehouse based on Microsoft SQL-Server technology (but works with any kind of data sources like Oracle, IBM DB2, SQL-Server, Access and more), a reporting and analytics front-end and many pre-packaged business solutions like Sales Analysis for JD Edwards, Sage, BPCS, SAP and many more.
BI(Business Intelligence) is a set of processes, architectures, and technologies that convert raw data into meaningful information that drives profitable business is a suite of software and services to transform data into actionable intelligence and knowledge.
Another reason companies may find it challenging is because they often have long delivery cycles in their IT departments, for example, if you’re using a waterfall approach where you have to define the requirements up front, get them approved then go into a six month delivery cycle, quite often what you’re delivering isn’t what the end user requires any more because business has moved on. This means that to implement business intelligence solutions it’s strongly recommend that a more agile development approach is taken where shorter delivery cycles are used and the end user is continuously consulted (i.e. what they want, what their priorities are etc).