Services provided. Open Data provides strategic consulting, outsourced analytic services, and analytic staffing so that companies and organizations can analyze data and build analytic models that increase revenues, decrease costs, and improve business operations. Open Data undertakes both strategic and tactical projects.

• Management consulting services. Open Data provides consulting services so that companies can identify opportunities, develop strategies, and formulate plans and programs related to analytics.
• Outsourced analytic services. Open Data provides outsourced analytic services that span the entire spectrum of analytics: including, identifying the problem, developing an analytic architecture, setting up an analytic environment, preparing the data, building analytic models, deploying models in operational systems, and creating reports about the models. Open Data uses standard practices whenever possible, but also develops specialized, customized solutions when required. In general, Open Data uses its state of the art facility to host your data and supporting analytic infrastructure, but can also work on-site when required.
• Analytics staffing. Open Data can supply technical staff to supplement and work along side in-house analytic staff on a short term or long term basis.

• Technical due diligence. Open Data experts can provide independent evaluations of software and technology, strategic evaluations, evaluation of markets and competitors, technical trend analysis, and related projects.
• Expert witnesses. Open Data can supply expert witnesses in analytics, internet infrastructure, e-business, e-marketing, risk, and related areas.

• Technical training and education. Open Data can provide overviews of analytics and what is required to compete on analytics for senior managers. Open Data can also provide technical training and education in analytics and related areas.

Areas of expertise. Open Data has experience working with customer data, supplier data, third party data, and data from internal business processes. Areas of expertise include:

• Customer relationship management (CRM) - exploiting customer data to improve revenues and profitability.
• Risk modeling - build models to identify fraud, compromises, threats, attacks, and related areas.
• Data mining, knowledge management, and corporate data management - extracting knowledge from data and using the knowledge to improve business processes.
• Data from supply chain systems - analyzing data from suppliers to improve logistics, inventory, and utilization.
• Analytic architectures - planning and designing analytic architectures, including analytics for single projects, analytics for the enterprise, SOA-based analytics, and cloud-based analytics.
• Open source analytics - Open Data has deep expertise in open source analytics. A basic open source analytic stack includes MySQL (or PostgreSQL), Python (or Perl) and R and is sometimes abbreviated MPR. For specialized solutions when this standard MPR analytic stack is not adequate, Open Data also uses the open source, PMML-compliant Augustus platform.