Data Lifecycle Management Solutions
Offering complete solutions to efficiently manage and optimize the entire lifecycle of your structured data, ensuring accuracy, security, and compliance at every stage.
Challenges enterprises face today with Data Lifecycle Management (DLM)
Cloud Migrations
Minimize cloud migration expenses by retiring outdated applications.
Resources
The skill set for legacy applications is diminishing.
Acquisitions
Multiple acquisitions can lead to redundant applications and dormant/inactive data.
Cost
Maintaining legacy hardware and software can result in significant and avoidable expenses.
Security
Insecure legacy applications can attract cyberattacks, leading to data breaches and fines.
Compliance
Inactive data can hinder regulatory compliance, risking legal and financial penalties.
Operational Risk
Aging legacy systems are more prone to failures, disrupting business operations.
Innovation Inhibition
Outdated applications stifle innovation and limit competitiveness.
Company built by a global team of innovators
Over the past 30 years, structured data management has advanced from basic databases to sophisticated, technology-driven systems, driven by the growing importance of data.
The industry evolved with relational databases, data warehousing, and SQL, followed by big data, real-time processing, and NoSQL databases.
Recently, automation, AI, and cloud computing have further transformed data management, making it more intelligent, scalable, and essential for business strategy and competitiveness.
Extensive expertise in structured data management
Cloud ready, built to scale
Customer first
Simplifying extensibility
Service you will love
Companies we serve
