Convert data into business assets with support to build, deploy and manage cloud-based architectures.
We at Iris have partnered with several businesses to help them turn their data into business assets and help them stay competitive. We specialize in building, deploying and maintaining cloud-based modern data architectures spanning best-of-breed tools and technologies.
Our suite of solutions for data and analytics services comprises information management, ETL, enterprise data warehousing, data quality and governance, master data management and Big Data – data management and analytics.
We partner with industry leaders such as Amazon Web Services and Microsoft Azure for IaaS platforms and IBM Bluemix for PaaS platforms. We offer a comprehensive suite of cloud computing services. Our consultants execute petabyte-scale implementations with deep skills across Cloudera and Hortonworks distributions and Big Data skills of Hive, HBase, Sqoop, Spark, Yarn, Oozie, etc.
We apply a 'data transformation framework' that helps organizations upgrade their traditional data applications — operational data stores (ODSs), data warehouses, and other data platforms and practices within data warehousing and enterprise data management — to modern data architecture. The framework covers transformation across the dimensions of data sources and types, data formats, data delivery, data and design patterns, and data landscape and governance.
In addition, we partner with customer organizations in building domain-based centralized data lakes including provisioning for a raw, unrefined view of data to data scientists and analysts for further discovery and analytics.
We offer services and solutions for:
- Enterprise reports; and visualization
- Dashboards; and scorecards
- BI consolidation – report rationalization
- Transformation to modern BI
- Advanced analytics
- Transformation to public cloud (AWS, MS Azure, GCP)
Our services and solutions include data science-based solution accelerators such as the Iris rationalization accelerator.