• Data warehouse has value once you understand how to analyze it

• Discrimination of noise from actionable information

• Tools to parse and present the true picture

• Responsive and timely - yesterday does not cut it

• Boiling the ocean is a non sequitur, you need answers to the right questions

• When and which tools are the best;  ML, AI, others...

@The Davelon Group we have many cycles of experience including:

1. Big data statistical analysis 

2. Real life development and presentation using industry toolsets such as IBM (Cognos) and MS Power BI

3. Dash-boarding with Root-Cause and actionable recommendations

4. Commercial and Government