Customer Challenges Realizing Potential, Meeting Goals Leverage latest advances to reduce costs Alignment of cross org data usage goals and expectations Strategy and vision data CultivateData Solution Efficiency, Risk, Sustainability, Tech Debt The engineering team develops adapters and integrations instead of working on our core value proposition Valuable data science team members spends over 50% of time cleaning and transferring data instead of analysis and training. Slow to train new data engineers and analysts Data projects exist that no one can support or want to touch Team has a single point of failure if a key team member were to leave Difficult to recruit and hire new data team members CultivateData Solution Quality, Consistency, Access, Security Customers and users first to encounter data issues Data not available when needed Unable to analyze across multiple data silos Unable to self serve data Inconsistent results on Reports Long delivery time for requested reports and analysis Security controls on data access CultivateData Solution
