Data Analytics Advisory Services

The evolution of AI, ML, IoT technologies is magnifying how data is created and used by businesses.
Data-driven decision making has many challenges across business roles from the executive to middle management staff.

ABeam AI proprietary approach is based on “Improvement of Analytical Skills” and “Data Analytics System Deployment” to achieve results.
Traditional consulting approaches, in most cases, focus on either the improvement of analytic skills or data analytics system deployment, not both.

ABeam AI approach supports improvement of data analytics by promoting both sides; improvement of analytic skills and the data analytics system deployment.

ABeam AI Approach considers each business problem and takes a phased approach.

ABeam AI improves strategic feasibility and data analytics by creating an organizational structure that centrally manages data analytics executed by each division.

Generally with continuous usage of AI(Artificial Intelligence) / ML(Machine Learning) the businesses data will become harder to understand.

ABeam AI provides “white box” approach that integrates lifecycle of products, services, business and also the intelligence cycle.

It is important to control AI / ML technology depending on the characteristics of issues in a business setting.
ABeam AI offers an approach using AI / ML more effectively based on the understanding that AI / ML technology should be managed as one component of the whole system.