Bruce Orr Email & Phone Number

Atlanta, Georgia, Us

My main role is to provide technical and strategic leadership for the business and data function at ProNovos.Based upon this, my key areas of focus are:Help construction companies leverage the data and insight generated by Pronovos to minimize negative impacts e.g. margin erosion.Fully maximize ProNovos' large data clusters for massive parallel processing to identify new data mining opportunities, ongoing probability sceneraios within the US constuction market and the corrolation with the commodoties market. Identify new internal product opportunities.Develop and execute company’s best practice and strategy for data.Help build a team of data scientists and data engineers to create a culture of data-led decision making.Ensure ProNovos is using state-of-the art technology end-to-end; from data pipelines, to analysis, algorithms and visualization

Bangalore, Karnataka, In

Served in an Advisory Role to consult with business leaders on industry “Best Practices” for implementing Business Intelligence (BI) and Enterprise Data Warehouse (EDW) solutionsAdvised leadership on the development Roadmaps to achieve Data Governance, Master Data Management (MDM), Service Oriented Architecture (SOA), and how to incorporate the Agile Methodology on project delivery (PMO)

Lowell, Ma, Us

Advised CxOs and other executives of mid and large size companies on best practices as it relates to budgeting, forecasting and general thought leadership. The primary scope was always to reduce labor cost and utilize every skilled worker effectively. We did this by building or extending data warehouses to include labor systems, sales systems and operational systems. The end result included "Actionable", insightful and very relative reporting.These clients were in various verticals e.g. gaming industry, hospitality, health care, manufacturing and retail using industry best practice

Cincinnati, Ohio, Us

Primarily developed and managed several Multi-Dimension data warehouses (using Ralph Kimball’s methodology) and implemened Business Intelligence technologies for the entire supply-chain management using SSIS, MS Analysis Services and other BI software applications.

Dallas, Tx, Us

Provide analytical support for the center’s frame-relay strict compliance to statistical process control (SPC) methodology for continuous process improvements.Analyze production data to find the best approaches to improve the center’s performance and train employees on the new process.Perform data mining to forecast work volume and product needs