Slide background DELIVERING VALUE IN A DEMANDING ENVIRONMENT "Poor estimation during the planning phase continues to be
the largest contributor to project failures"
The third global survey on the current state of project management -PwC
Slide background BACK TO BASICS:
IMPROVING PROJECT MANAGEMENT "High-performing organizations waste about 13 times less money than low performers"
Capturing the Value of Project Management -Project Management Institute
Slide background BUSINESS IMPERATIVES: GETTING THE FUNDAMENTALS RIGHT "Highly agile organizations have significantly better project
outcomes compared to their counterparts with low agility"
Capturing the Value of Project Management -Project Management Institute
Data Engineering and Analytics

  • Collection, Transformation, Storage, and Retrieval of Data.
    Databases, APIs, Streams, Logs, and Sensors.
  • Architecting Infrastructure to process and analyse Large Volumes of Data effectively. Storage Selection, Data Pipelines, Data Modelling, Cost Optimization.
  • ETL Processes, Data Modelling. Manipulations on Data to derive Insights or prepare for Analysis.
  • Automating Workflows for Data Ingestion, Processing, and Distribution.
  • Ensuring Data Quality, Integrity, Compliance. Risk Mitigation.


Key Benefits

  • Improving Efficiency through Data Analytics.
  • Cost Optimization.
  • Making Data-driven Decisions.
  • Identifying potential Risks and Threats.
  • Fostering Innovation.
  • Informed Decision-Making.