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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 them. Business 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.
MODULE 1: Concepts and Foundations of Business Intelligence & Analytics
MODULE 2: Service and Analytics lifecycles
MODULE 3: Management Tools & Techniques
MODULE 4: Case Study: Applications of BI&A
MODULE 5: Competing and Succeeding in Analytics
MODULE 6: Business Analytics and Financial Outcomes
MODULE 7: Case Study: Analytics Best Practices from a Fortune 500 Company *May change depending on the trainer
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.
PREREQUISITES: • Working knowledge on Data handling and Management • Experience in Data Warehousing (but not mandatory)
Yes, we offer course completion certificate after you successfully complete the training program.
APEX Global Learning offers standard promos such as the Early Bird rate or the Group Discount rate. Please contact: email@example.com for more information.
Training venue will be announced one week before the said training day and will be informed through email.