Enterprises have more data that ever at their disposal – data related to operations, customers, partners, suppliers, and every system that’s part of the enterprise ecosystem. All of this data needs to be captured and processed for its effective use. Becoming a data-driven enterprise requires an enterprise-wide data and analytics strategy. Kanerika helps organizations manage their entire data lifecycle by building a cohesive data management system that can be integrated across the enterprise and further developed for analytics.
With expertise on industry leading tools, Kanerika takes a collaborative approach to handle massive data migrations and building an integrated data warehouse for its customers. Effective data governance practices ensure that the data is reliable and safe for complex regulatory reporting. Reduced turnaround time and increased operational efficiency are some of the key benefits customers achieve with Kanerika’s data management solutions.
Service Offerings
Data management
Kanerika offers a comprehensive data fabric with integrated data across the systems that is collated, processed, stored, and analysed further for generating insights. Kanerika ensures that data is secure, compliant with regulatory requirements, and ready for reporting and analytics.
KOMPASS – Composable solution architecture
KOMPASS is a multi-layered, composable architecture that uses intelligent algorithms to integrate all the source data and convert it into valuable real-time data using connectors and process flow designers.
AI-driven analytics
Kanerika delivers business intelligence and analytics solutions and driven by artificial intelligence (AI), conversational analytics and natural language processing (NLP) based tools and technologies.
Tools and technologies
Partnerships with leading technology companies in the space of data, analytics and automation empowers Kanerika in delivering solutions for improved enterprise efficiency and decision-making for enterprises.
Automation
Kanerika empowers enterprises in optimizing and transforming business processes through intelligent automation at all process levels covering all forms of data –simple to complex and structured to unstructured, utilizing RPA and AI-enabled automation technologies.
Case Studies
Case Studies
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