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BIA – Business Intelligence and Analytics Foundation

Overview

Having a business means accumulating countless data and information. This corporate data grows in correlation with your company and if it goes unorganized, chances are, you would be sitting on a gold mine. Your next big client for the report that might be the key to your next project might be embedded deep in the disarranged database. It is one thing to extract these data and another thing to analyze and make use of themBusiness Intelligence and Analytics (BI&A) is a course that has been made to address the industry’s rising problem: Large data quantity. You will learn how to organize them, and derive true value that will help you in making decisions. The course will extensively emphasize on structuring your data management, data mining, and data analysis to provide the necessary support as needed by the organization.

COURSE INFORMATION

Schedule

  • 29-30/03/2018
  • 12-13/07/2018

Duration: 2 days

Training course outline –> Click here

register-ECCI

Contact person: Ms Duy Linh – 0901 43 23 13

 

KEY FEATURES
  • Lower the margin of extracting a false positive data through effective data management.
  • Cultivate and maintain an Analysis Culture within the organization.
  • Increase the business’s analytical support backbone to arrive at a sound decision.
  • Proper management and warehousing would effect to ease of access to information when needed.

BENEFITS
  • With this training course, you will be able to learn the following:
  • Lower the margin of extracting a false positive data through effective data management.
  • Cultivate and maintain an Analysis Culture within the organization.
  • Increase the business’ analytical support backbone to arrive at a sound decision.
  • Proper management and warehousing would effect to ease of access to information when data is needed.

TARGET AUDIENCE
  • Business Analysts or Information Workers
  • Systems Analysts / Administrators / Managers
  • Business Intelligence professionals
  • IT Managers / Professionals
  • Data Analysts / Managers / Scientists
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