
Data-driven business transformation through Business Process Intelligence (BPI)
HCLTech's SAP Signavio BPI offerings are designed to help reveal your real business processes in order to assess your starting point, process destination and journey.

Streamlining Data Management with HCLTech Infonomics
HCLTech Infonomics offers DMaaS solutions, simplifying data management with services like backup, recovery and cloud integration, optimizing security, reducing costs and enhancing efficiency.

Semi-structured and unstructured data in Snowflake
HCLTech’s cutting edge snowflake solutions for data analytics

Breaking data monolith
How data mesh is revolutionizing data architecture for the modern age

Achieving data-driven intelligence in IT cloud and infrastructure services
From legacy IT infrastructure to the Digital Foundation of an enterprise, here’s how organizations can achieve data-driven intelligence

Financial services' new frontier: Data and AI leading the way
Artificial intelligence and increasing data literacy are reshaping the concept of being “data-driven” in financial services

DataOps revolution: Unifying industrial data for transformation
Discover how Industrial DataOps is revolutionizing manufacturing by breaking down data silos, empowering AI-driven insights and streamlining operations for increased efficiency and innovation.

Big Data Analytics in Manufacturing
Today, data offers fresh multidimensional capabilities and broader horizons to manufacturers. Big Data solutions enable an altogether new dimension of research and trend analysis.

Data story telling with Tableau
This blog examines the data storytelling aspects of Tableau, with a focus on the key features of building a story for BI developers and IT professionals.

Breaking Data Silos: Transforming Manufacturing
Unlock innovation in manufacturing by breaking data silos. HCLTech offers solutions to unify data, enhance efficiency, and accelerate digital transformation.

Integrating AI with Life Sciences data
AI is transforming the life sciences industry by enhancing data integration, addressing ethical concerns, and ensuring secure, compliant AI applications across the pharma value chain.

Breaking the data monolith with Datamesh
Unlocking data potential and embracing data mesh