Providing strategic consulting on a fractional or project basis to companies seeking to upgrade and optimize their data management infrastructure and processes. I specialize in helping small to mid-sized companies leverage cloud based architecture solutions to drive improved efficiency, increased product innovation and faster decision making.Projects include:Business Intelligence Platform Design and ImplementationVendor Evaluation and SelectionData Governance & MDMClient/Vendor and System Integrations Data Security (SOC, GDPR)KPI/Balanced Scorecard Definition and Implementation

Determined to best utilize his strategic information technology knowledge, Scott Hicks joined the Black Box team in 2019 as the Chief Information Officer. His efforts include overseeing product, software development, operations, and infrastructure. Through his role, he will streamline product efficiencies, drive innovation and provide direction for the evolution of Black Box technology. Black Box Intelligence is the leading insights & knowledge provider of restaurant industry human resources, financial performance and consumer insights data through their products People Report™, Black Box Intelligence™ and White Box Social Intelligence™. Black Box Intelligence allows organizations to leverage benchmarked data to achieve best-in-class performance results. Black Box Intelligence currently tracks, analyzes and benchmarks the largest databases of real restaurant data in the US that includes over 305 companies, 2.6 million employees and nearly $72 billion in annual revenue. Black Box Intelligence also produces the Global Best Practices Conference held annually each January in Dallas, Texas.

Board of Directors for the Decision Analytics Graduate Program

Setting strategy and managing day to day operations of a cross functional team tasked with leveraging data to drive product innovation and decision making within the organization. This includes everything from leveraging our Big Data infrastructure and machine learning processes to drive continuous improvement in our search and matching algorithms to development of our data warehouse and end user reporting tools. Team members include Data Scientists, DBAs, Data Architects, Data Analysts and Developers.