Awards
At the summit, we’ll also hold the ET Edge DataCon Awards 2025 to honor Indian companies making strides in becoming more data-focused.
These awards recognize how your team uses data to benefit your business. We celebrate your innovative use of data, which helps you stand out, create new products, and provide great service to customers. Winning this award acknowledges your team’s hard work and commitment to using data effectively.
Jury
Awards Research Partner
Category 1: High Maturity Data Enterprise
HMDE is an enterprise level capability that makes data usage a pan enterprise phenomenon. It is enabled by putting in the right infrastructure, automation, management, governance, and applications for data collection, flow, collation, structuring, and analytics. An HDME also implements use cases across the value chain
functions.
Category 2: Modern and Agile Data Architecture and Infrastructure
For a successful data drive, enterprises are re-defining their data architecture that considers the changing situation of multiple sources of data and its multiple usage. The new architecture demands that a modern infrastructure addresses the need for multiple type of databases and supports a distributed storage. Leveraging Cloud is a possible option.
Category 3: Automated Data Management
Data driven enterprises are using automation and intelligence to manage data operations, data life cycle management, data governance and security/ privacy. As they mature in their journey, a higher use of Analytics/ AI/ ML and centralization through tighter integration is achieved.
Category 4: Holistic Large Data Management
Data driven enterprises are working on pooling in large amounts of data for combining, recombining, and leveraging them for data analytics and AI/ ML use cases across the value chain. Large data management covers big data solutions, data engineering platform for transforming large amounts of data, intelligent data exchange platform, and enterprise data warehouse/ data marts/ data lake. The high-end systems are highly automated requiring no human intervention in data transformation, data cleaning, data combining across formats, and interface with source and user applications.
Category 5: Smart Data Applications Software
Enterprises are deploying data analysis software tools or applications that are capable of handling multiple data points, subject it to multi-dimensional analysis, build statistical models that can address complex business queries, and create a multi-level data reporting engine.
Category 6: Innovative Data Center Infrastructure
Organizations recognized for pioneering infrastructure solutions designed to meet the evolving needs of modern data centers, with a focus on efficiency, scalability, sustainability, and advanced thermal management capabilities. This category encompasses innovative design features, energy-efficient advancements, scalability, and demonstrated impacts on data center operations, including optimized thermal management strategies.
Category 7: Data Center Power and Cooling Management
Organizations that have excelled in providing cutting-edge power and cooling management solutions for data centers, optimizing energy usage, ensuring uninterrupted power supply, and addressing the challenges of thermal management. This includes energy efficiency ratings, reliability, scalability, adaptability to different environments, sustainability features, and impact on overall energy consumption, along with integration capabilities with existing infrastructure.
Category 8: Digital Transformation Enabler
Companies that have played a pivotal role in enabling digital transformation initiatives through their data center solutions, empowering organizations to leverage emerging technologies such as AI, IoT, edge computing and network security. This includes the breadth and depth of offerings, integration capabilities, flexibility, and alignment with digital transformation goals.
Category 9: Data-driven Supply Chain Innovation
How big data/ BI/ analytics/ AI/ ML tools are used to create data driven solutions in the supply chain function
Category 10: Data-Driven Innovation in Customer Engagement and Sales Optimization
How big data/ BI/ analytics/ AI/ ML tools are used to create data driven solutions in the customer, sales, and marketing function
Category 11: Data-driven Solutions in Human Resources and Operations Excellence
How big data/ BI/ analytics/ AI/ ML tools are used to create data driven solutions in the HR and Learning, Admin, Finance and Accounts, and Facilities Management function
Category 12: Data-Powered Operational Excellence
How big data/ BI/ analytics/ AI/ ML tools are used to create data driven solutions in the Core Operations/ Production function
Category 13: Sustainable Solutions and Risk Management Excellence
How big data/ BI/ analytics/ AI/ ML tools are used to Sustainability and ESG function/ Enterprise Risk Management
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