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1. #BUSINESS INTELLIGENCE STRATEGY AND BIG DATA ANALYTICS CODE#
2. #BUSINESS INTELLIGENCE STRATEGY AND BIG DATA ANALYTICS PROFESSIONAL#

2) Modern Business Intelligence Image Source This is widely used with regulatory or financial reports. Traditional BI provides simple reporting where accuracy is prioritized over other aspects of insights. Types of Business IntelligenceĪccording to Cindi Howson, a former VP Analyst at Gartner, there are 2 types of Business Intelligence approaches:ġ) Traditional Business Intelligence Image Source

#BUSINESS INTELLIGENCE STRATEGY AND BIG DATA ANALYTICS PROFESSIONAL#

The workflow of a business intelligence professional includes summarising, reporting, dashboards, graphs, charts, and other forms of visualizations. It provides an overview of business processes, assisting companies in analyzing their efficiency and productivity. Introduction to Business Intelligence Image Sourceīusiness Intelligence is a process of converting raw data into meaningful insights to drive business decisions. Business Intelligence vs Data Analytics: Reports.Business Intelligence vs Data Analytics: Data Quality.Business Intelligence vs Data Analytics: Data Type.

#BUSINESS INTELLIGENCE STRATEGY AND BIG DATA ANALYTICS CODE#

Business Intelligence vs Data Analytics: Scope.Factors that Drive the Business Intelligence vs Data Analytics Decision.Read along to find out how you can make the Business Intelligence vs Data Analytics decision seamlessly for your organization. It also provides you their types and benefits. This article provides you a comprehensive overview of both techniques and highlights the major differences between them so that you can make the Business Intelligence vs Data Analytics decision easily. While Business Analysts oversee the requirements of data and build reports, Data Analysts carry out in-depth analyses. Both have a different scope of work and require a varied set of skills for helping organizations flourish with data-driven decision-making. The reality, however, is that Business Intelligence and Data Analytics are significantly different. However, this creates confusion among people, especially beginners who do not understand the underlying difference between the two widely used terms in the Analytics world. Today, Business Intelligence and Data Analytics are used interchangeably for the convenience of communication. Hence, when it comes to the field of Analytics, the choice of Business Intelligence vs Data Analytics is a relatively tough one. Business Intelligence, a concept that is widely used by Analytical companies plays an important role to visualize the customer data so that customer behaviour patterns can be predicted. With the field of Data Analytics gaining popularity on a global scale today, many companies are leveraging multiple tools and technologies in this field to gain insights from their customers.