Modernize your data centers with TCS Daezmo™
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MINS READ
Services
Data and Analytics
Harness the Power of Data and Analytics for better Business Outcomes
Highlights
- Transform as you grow with TCS Daezmo, a data estate modernization suite that ensures quicker time-to-revenue and lower risk for enterprises.
- The future-ready data platform helps unlock business value with a solution framework, agile execution, and culture of innovation.
- We help design and establish a data office to create a data-driven culture that integrates business and IT teams.
OVERVIEW
Real-time, holistic, and accurate datasets help enterprises uncover greater value with informed decisions.
The massive surge in data, its many sources, and the need to reconcile it in different formats is challenging in a traditional data warehouse. Enterprises need a single, scalable platform which supports real-time and batch data transactions. Plus, business users are looking for speed, flexibility, quality, and ease of discovery.
A unified data platform with capabilities for cognitive analytics, real-time processing, and consumption of actionable insights is one of the key requirements of mining data. TCS Daezmo is a holistic suite that enables data and analytics modernization by combining approaches, methodologies, and Machine First™ accelerators.
Solution
Next-gen data estate for maximizing value.
TCS Daezmo is a comprehensive service offering that covers data platform implementation for data and AI-driven modern enterprises. The offering handles data lake and warehouse creation on modern platforms like Amazon Web Services (AWS), Microsoft Azure, Google and Snowflake; legacy data warehouse migration to the cloud for AI consumption; data mastering and governance and data apps for new data-driven business models. The offering combines solutions with field-proven processes and methodologies for enterprise modernization.
It provides the following capabilities:
1. Data democratization: Enables data strategy, design, operations, and governance.
2. Field-proven methodologies: Provides a seven-step process framework for all major target platforms.
3. Patented Machine First™ approaches for enterprise AI readiness and data consumption. These include:
1) Source data warehouse analysis
2) Historical data migration to cloud
3) Data warehouse objects conversion to cloud
4) Augmented data management for cleaner data
5) Data platform observability solution
4. Platform-agnostic implementation: Leverages proven architecture and optimum design patterns for scalable applications on the target platform.
5. User onboarding support: Offers support services for new data platform adoption.
6. Vectorization at scale: Accelerates the bulk vectorization of an enterprise’s unstructured content for plugging into models for respective generative AI (GenAI) use cases.
Benefits
Partner with us on your data and analytics estate modernization journey.
Rapid implementation: Cut down modernization timelines with AI-driven accelerators.
Expansive source coverage: Integrate a range of data sources (enterprise, machine, social, open, ecosystem), and data types (structured, semi-structured, unstructured, master, transactional, streaming, and batch data).
Superior AI readiness: Strengthen data capabilities with greater coverage, sophisticated analytics, and cost-optimized open-source adoption.
The TCS advantage
TCS Daezmo is characterized by several key differentiators.
A network of partners: We partner with industry leaders such as Amazon, Google, Microsoft, IBM, Talend, MarkLogic, Collibra, Informatica, and Tableau among others, for joint go-to-market and engineering capabilities.
Global experience across verticals: Our extensive expertise and contextual knowledge helps clients across industries modernize their data estate.
Realization of business use cases: Our solution framework, agile execution, and culture of innovation ensures desired business value for our customers.
Transform-as-you-grow approach: Ensures quicker time-to-revenue with lower risks to business.
Data office: We consult with our customers on designing a data office to create a data-driven culture that integrates business and IT teams.
