Big Data in Business

Building databases necessitates the systematic storage and management of data information prior to its use. Big data can track massive volumes of data to seek out undetected patterns, correlations, and insights in business. This training helps participants figure out how to manage the changes driven by Big Data related to product lifecycles, business model canvases, and organizational theory. This training also advantages businesses in implementing big data and analytics to earn cost savings, more rapid and accurate decision-making, and better marketing of novel goods or services.

Target Audience

This training program guides Data Analytics, Data Scientists, and Database Administrators comprehend Big Data. Individuals majoring Electrical Engineering and Computer Science majors are also welcome to follow this program.

Target Audience

This training program guides Data Analytics, Data Scientists, and Database Administrators comprehend Big Data. Individuals majoring Electrical Engineering and Computer Science majors are also welcome to follow this program.

Duration

This program is a 2-day intensive training class.





Duration

This program is a 2-day intensive training class.





Method of Delivery

This program will be consisted of interactive presentation by instructor, group debriefs, individual and team exercise, behavior modeling and role-plays, one-to-one and group discussion, case studies and small projects.

Method of Delivery

This program will be consisted of interactive presentation by instructor, group debriefs, individual and team exercise, behavior modeling and role-plays, one-to-one and group discussion, case studies and small projects.

At the end of this program, participants will be able to:


  • Recognize the main concepts of Big Data, its issues, and its opportunities in business

  • Distinguish the stakeholders and sectors changes caused by Big Data

  • Apply Big Data strategies and innovations used for business models

  • Examine the implementation of Big Data in the business field


  • Big Data challenges and opportunities
  • Is the company ready for Big Data?
  • The machine learning evolution
  • Stakeholders:
    • Private purposes
    • Public purposes
  • Sector:
    • Disruptive changes caused by Big Data
    • Incremental changes caused by Big Data
  • Benefits of implementing Big Data
  • Conventional wisdom in strategy and innovation
  • The policy considers the disruptive power of Big Data
  • Business Model Canvas overviews
  • What does Big Data mean for the different building blocks of the business model canvas?
  • What does Big Data mean for a business?
  • Who will lead the organization? CIO, CDO, or CEO?
  • Make sure the company is ready to implement Big Data
  • Input
  • Conclusion and Summary Judgment
Visit Our Office

AXA Tower 37th Floor
Jln. Prof. Dr. Satrio Kav.18 Setiabudi, Kuningan
South Jakarta, 12940 Indonesia

Let's Talk

Phone: +6221 300 56 123
Fax: +6221 300 56 124

Social Media

Instagram: @multimatics
Facebook: Multimatics_ID
LinkedIn: Multimatics ID