Organizations are leveraging technology advances to meet the business objectives in their journey to be data-driven and become increasingly data-powered organizations. Enterprise agility and innovation are top of the mind for business leaders. Modern data architecture is a critical enabler.
Our Data & Analytics offerings let organizations achieve robust, scalable and secure data architectures. Spanning Data Engineering, Enterprise Analytics, Data Science and Data Governance, we have delivered innovative solutions to several Fortune 500 companies.
Enabling Data-driven Decisions with Data & Analytics
Transform legacy data platforms to achieve agility, simplicity and reduced TCO using cloud technologies
We help organizations unlock the full potential of structured and unstructured data. We accelerate the transformation of data marts, operational data stores, data warehouses, etc., making them cloud-ready, scalable and cost-effective. The data transformation journey helps organizations leverage a public cloud's computing power and elasticity to bring together islands of information and simplify the architecture.
Advance enterprise intelligence with real-time analytics and actionable insights
Many firms are struggling with multiple reporting platforms and fragmented enterprise intelligence. Iris Rationalization Accelerator benefits those embarking on business intelligence transformation or consolidating reports arising out of mergers and acquisitions. Report rationalization driven by data science with Iris Rationalization Accelerator makes it easier, faster and less expensive.
While the data platforms are transformed to a modern data architecture, it is imperative to transform the Business Intelligence platforms, to realize the objectives of a data-driven organization.
Iris helps transform BI platforms to cloud architecture for accelerated enterprise intelligence with real-time analytics and actionable insights.
Enable data monetization across business lines and functions through effective data democratization
We assist our clients in building a governable and self-serviceable data marketplace, bringing together structured, unstructured and semi-structured data. Combined with a comprehensive data catalog, trustworthy data lineage, policy-based security infrastructure and curated data assets enable federated innovation and monetization across various business lines and functions.
Data marketplaces can be made performant and responsive with data virtualizations and query acceleration technologies.
Establish data hygiene in critical internal processes and for external regulatory compliance
A single version of truth is a crucial goal for CDOs and CDAOs. Ensuring that the right people find the right data at the right time to deliver accurate business insights is also a key goal. Identifying Critical Data Elements (CDE) and their flow through the data lifecycle is the starting point for building a curated catalog of internal and external datasets.
Applying data science to build the catalog, classify information, develop a comprehensive data profile and map out the lineage helps in ensuring that the data is trustworthy. These capabilities help track the data journey in highly-regulated financial services, life sciences and other industries, and comply with regulations such as GDPR, BCBS 239, etc. These also offer the side benefit of helping to generate synthetic data for application testing and model development, which is a serious challenge for many organizations.
Iris has delivered the above capabilities to several organizations and enabled them to become data-driven.