In a typical software industry, BI/Big Data is often used in conjunction with a waterfall or an iteration model. These models are structured in a hierarchy that starts with analysis and moves on to design, development, and finally deployment. The problem is that most businesses do not consider the risks, costs, and time involved until the end. Businesses must wait until the end of projects to make any necessary corrections. To achieve a higher success rate in BI projects, Agile methodology is necessary. Read more…
Agile model in Big data analytics
