‘Database Modernization’ and ‘Database Lifecycle Management’

Intuitive.Healthcare provides business and technical approaches of ‘Database Modernization’ and ‘Database Lifecycle Management’ to make your database processes more agile, visible, predictable, and measurable, with the objective of reducing costs and increasing quality. Our accelerated solutions integrate with your DevOps process and provide you with a framework to make simple, stepwise improvements to your core database build, test, and delivery processes.

Why databases modernization and continuous delivery of databases is essential for Healthcare & Life Sciences

Drive for database modernization

The outdated database systems provide various challenges for the healthcare industry, due to their high operating and maintenance costs, security and compliance risks, and the lack of organizational agility. Intuitive.Healthcare helps organizations embrace database systems modernization, retire legacy tech debt and migrate application and database workloads to the cloud, enabling healthcare organizations to harness the power of data to improve decision-making, streamline processes, and enhance patient outcomes. Intuitive database engineering will develop a migration strategy using its migration factory to transition to a new platform whether in your current data center, migration to cloud or within the cloud.

Faster deployment and reduced time-to-market

To ensure faster software delivery, Intuitive.Healthcare, through automation, streamlines the process of setting up and configuring databases, allowing for faster deployments, reduced manual effort, reduced errors, improved consistency and greater control over the database lifecycle.

Multiple projects impacting each other while requesting changes to the applications and databases

Intuitive.Healthcare helps organizations automate the continuous delivery processes through automated and rapid provisioning of databases for each application development workstream, thus streamlining the deployments from development and testing to production.

Continuous operation and minimize database downtime

Intuitive.Healthcare helps customers implement robust high availability strategies focused on databases continuous availability, redundancy, disaster recovery and fully optimized backup and recovery solutions. Our solutions help conduct complete business impact analysis and identifies critical business services and their dependencies, assess the potential impact of downtime on patient care, and prioritize recovery strategies.

Case Studies

Mar 28,2023

A more resilient and efficient DR in AWS: A case study of a digital healthcare solutions company

A successful migration to cloud and consolidation of workloads would have enabled the company to transform multiple on-prem platforms to reduce operational costs. While the migration to cloud was the ultimate goal, the company had a major need to build DR capability for Business Continuity requirements from their large customer base.

Mar 27,2023

A Case Study on complete Application and database infrastructure assessment, gap analysis and optimization.

The company urgently needed to meet customer expectations, focus on the right SLAs that prioritize the most critical aspects of the service and align with their customers’ needs. The company also wanted to reduce costs and lastly achieve the ability to quickly launch DR site and conduct DR drills as needed.

Why Choose Intuitive.Healthcare to drive your Database Modernization journey?

Intuitive’s has built solution accelerators by identifying and developing best practices through real-world engagements with customers. We don’t just enhance you application workloads but help jump start your data journey and minimize implementation risks to quickly deliver business values using your data.

Intuitive’s ‘Database Solution Accelerators’ for common use cases:

  • Increase application availability, reduce critical incidents, reduce batch jobs’ duration
  • Protect/Secure applications from common vulnerabilities
  • Applications to remain responsive even in the face of unexpected failures
  • Enhanced data security, access control, and compliance measures
  • Build ‘data strategy’ – Put Data-driven initiatives in practice
  • Efficient use of company's data to centralize all information from different sources and use data analysis to visualize personalized dashboards and, therefore, be able to make assertive decisions
  • Transform your products and development life cycle - Streamline, accelerate and transform data Establish DataOps & MLOps – Effectively use telemetry data about your services and offerings
  • Save weeks or months of development time for data engineers and data scientists