iWorks’ Data Analytics practice implements enterprise-level business intelligence and data analytics solutions. We deliver high quality, actionable information to our clients through the integration of internal and external data sources, implementation of tools and technologies, and support of the required Information Technology (IT) infrastructure.
Consistent with our iWorks Agile Implementation Methodology (iAIM®), our Data Analytics approach applies an iterative, prototype-driven delivery using Agile and DevOps methodology to design and implement all aspects of data analysis. Key elements of our approach include: prioritization based on stakeholder requirements; use cases and usage-driven modeling; a test-driven approach for integrating legacy and external data sources; data quality analysis; and continuous integration and delivery of high-quality data and visualization features.
Additionally, iWorks has an iWorks Solution Lab with leading tools to evaluate, demonstrate, and tailor processes, tools, and technologies across a wide range of data analytics implementation activities. These activities include data quality analysis, structured and unstructured data integration, tools and technology evaluations, infrastructure definition, cloud selection/migration, and dashboard/reporting capabilities.