Business Intelligence Consultant

What exactly does a business intelligence consultant do, aside from collecting an indecently large paycheck? Well, he actually needs to do a lot of work to earn that paycheck!

Among other services the business intelligence consultant needs to be prepared to:

  • Deliver expert consultation on design, development and implementation of analytics systems, including business intelligence
  • Model and design big data and data warehousing systems
  • Prepare BI analysis and reporting procedures and applications

In addition, the business intelligence consultant must also be prepared to serve as technical backup to business teams whenever it is required, as well as oversee business meetings and determine project milestones and technical requirements.

Business Intelligence and Analytics

What separates companies that succeed from companies that fail? In the world of IT and big data, the answer comes down to the skill of the business intelligence consultant who oversees business intelligence and analytics. This is simply the way it is – in the hyper competitive environment which characterizes business today, especially in IT, even the smallest edge can be the difference between success and extinction.

So that being said, what is business intelligence and analytics? It is the provision of actionable intelligence that enables managers, executives and other business decision makers to make the decisions that are optimal for their business. Whether this involves spotting new business opportunities, cutting costs, or pinpointing slack and suboptimal processes that need to be put up to par. Where is all the data that is being crunched and stored? That is where the concept of a big data warehouse comes in.

Big Data Warehouse

Traditional data warehousing structures are designed to render data accessible and actionable for decision makers and analysts. However the explosion in data quantities is rendering these structures obsolete.


Increasingly, business intelligence consultants are urging companies to revamp their structures to include both big data technologies and traditional data warehouse architectures into a single integrated system.This  combination of both types of data management into one distinguishes the big data warehouse.


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