A business strategy is a business value-based strategy. Business values should be at the core of business. They are the beliefs, philosophies, and principles that drive the business. The business values are the organisation's DNA.


Data is the new fuel and AI is the accelerator. Data is essentially the plain facts and statistics collected during the operations of a business. Big Data is generally described as 5Vs: variety, volume, veracity, velocity, and value.


In a data-driven approach, decisions are made based on data instead of intuition. A data-driven strategy is based on collecting and analyzing data. It demands that the organization takes a systematic approach.

Business strategy challenges

Every business faces different challenges at different stages and in different industries.

  • Customer/Asset lifecycle management
  • Business workflow and productivity
  • Risk and safety management
  • Regulatory compliance management
  • Product and service development
  • Workforce and business operation planning
  • Business integration management

Data management challenges

Data management is the practice of collecting, organizing, protecting, and storing an organization’s data so it can be analyzed for business decisions.

  • Data sources and data silos
  • Data volume and velocity
  • Data quality control
  • Data integration and pipeline automation
  • Data system architecture
  • Data security and data governance

Data analytics challenges

Big data and advanced analytics has become a top-of-mind issue for business leaders around the world for very simple reasons.

  • Business and data understanding
  • Business problem definition
  • Data quality and data readiness
  • Self-service and agile analytics
  • Lack of process and systematic approach
  • Lack of skilled resources