TVS Next

Building intelligent platforms

Accelerate your data transformation journey at a lower cost and faster time-to-market

Enterprises across every industry are dealing with exponentially growing data – structured and unstructured. Modern enterprises rely on and leverage data for strategic decision-making.

As a data-driven organization, one needs to access, manage, distribute and analyze all available relevant data and harness its potential.

CURRENT DATA CHALLENGES

Volumes of fragmented data

Poor data quality

Legacy data warehouses

Lack of right information & data points

Wastage of time

Why Data Modernization Matters

Use of modern cloud-oriented architecture

Cloud-based architectures leverage cloud platforms like Amazon Web Services, Google Cloud Platform, and Microsoft Azure to simplify the deployment of new environments/solutions, and integrate into CI/CD activities supporting DevOps.

Scalability across the system

Data modernization helps to scale the platform in multiple ways – such as storage capacity, performance, and throughput, user access, or regional deployments.

Strong governance

Strong governance helps manage processes for the infrastructure/services, applications and data, abolishes previous fragmentation of data, and ensure ownership and data quality.

Tight security

Meeting industry-specific compliance frameworks and broader legislative obligations is a necessity now. Encryption as a standard for all data ensures security.

Scope for innovation

Data modernization empowers teams to leverage emerging technologies to drive innovation within the business.

Use of modern cloud-oriented architecture

Cloud-based architectures leverage cloud platforms like Amazon Web Services, Google Cloud Platform, and Microsoft Azure to simplify the deployment of new environments/solutions, and integrate into CI/CD activities supporting DevOps.

Scalability across the system

Data modernization helps to scale the platform in multiple ways – such as storage capacity, performance, and throughput, user access, or regional deployments.

Strong governance

Strong governance helps manage processes for the infrastructure/services, applications and data, abolishes previous fragmentation of data, and ensure ownership and data quality.

Tight security

Meeting industry-specific compliance frameworks and broader legislative obligations is a necessity now. Encryption as a standard for all data ensures security.

Scope for innovation

Data modernization empowers teams to leverage emerging technologies to drive innovation within the business.

WHITEPAPER: Building Intelligent Platforms

How To Get Started

Understanding goals and business drivers

Evaluating pain points, compliance requirements and environmental constraints

Defining a suitable data platform architecture

Comparing and choosing technology that fits the purpose now and also future proof

Transforming data into a competitive advantage

Enabling enterprises to seamlessly scale to process huge volumes of data and every data type

Structuring an approach to digital transformation

Generating higher returns by integrating legacy data with real-time data, lowering capital expenses and accelerating time to market

Creating business intelligence dashboards

Creating an appropriate data environment for self-service reporting, designing and developing intelligent dashboards