Business Analytics Career

Impotence of Business Intelligence (BI) for Businesses.

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. BI encompasses numerous roles. BI analysts, with an average salary of $67,650 according to PayScale, provide application analysis and data modelling design for centralized data warehouses and extract data from databases and data warehouses for reporting, among other tasks. BI developers, with an average salary of $79,218 according to PayScale, work with databases and software to develop and fine-tune IT solutions. BI architects, with an average salary of $112,043 according to PayScale, analyse and implement BI for their organizations, with responsibilities that range from determining platforms to building and maintaining data warehouses. BI directors, with an average salary of $128,512 per year according to PayScale, lead design and development activities related to the enterprise data warehouse. IT Skills Demand and Pay Trends Report, research firm Foote Partners notes that cash pay for tech certifications is near its five-year low having increased by 4.3 percent from a year ago. The premium for data/database certs has fared better. Foote Partners called out the MCSE: Data Management and Analytics certification as an exception, gaining more than 10 percent in value from the previous quarter. Overall, premiums for single certifications are boosting base salaries by 7.3 percent, according to Foote Partners.

Why to study Business Analytics

In an era where the data is growing exponentially, businesses have to be smart enough and sort out what data needs to be retained and what should be scrapped. In fact, it is the most important determinant for defining the success of an organization. We all know that in any organization, there is a lot of data available, but not that all helpful. Albert Einstein was a genius and that’s why he had made this statement in that era which trues now as well. “Not everything that can be counted counts, and not everything that counts can be counted.”  

What is Business Analytics?

Syndicate content