Our experience is that data science toolsets and mathematics are high-value, general skills. They are necessary, but not sufficient for project success. The blockers for most data science project success are these key capabilities:
The Lever10 Data Domain Expertise:
The Lever10 team has executed major data science projects with leading companies such as Standard and Poors, VMware, HPE, A10 Networks, Zuora, Gigamon and many smaller VC funded startups.
Primary data science projects:
ROMI Analysis - Return on Marketing Investment
New Market Indicators - emerging evidence of new markets from marketing and CRM data
Inventory inefficiencies (many projects), cross transfer inefficiency, hidden stock, wrong distance shipping, bundle sizing, and many more options
Target customer optimization from CRM data
Pricing optimization studies, in vitro and in vivo
SaaS event discovery and user behavior shaping
Saas in-app event capture and modeling
Custom RPA (Robotic Process Automation)
Billing system revenue leakage
Machine Learning projects for inventory, pricing (time-of-day, day of week, seasonal) optimizations
The above list is more representative than complete. We have been doing applied data science since 2005 using tools from every major vendor. Recently, we have focused on the DataRobot toolset and we can assist the AutoML deployments and especially connecting working ML to legacy platforms for feedback loops. We are also expert at the DataRobot Zepl notebook toolset and have performed many successful Zepl projects.
Contact Us for more details or to start a project.