DATA SERVICES
Managed Data Services
Ensure intelligent data operations with tech-enabled managed services
- Rapinno HELPS ENTERPRISES UNLEASH THE FULL POTENTIAL OF THEIR DATA OPERATIONS THROUGH ROUND THE CLOCK SUPPORT OF UNDERLYING IT SYSTEMS
the challenge
ONE SIZE DOES NOT FIT ALL
The need to effectively manage high quality data for operational, commercial and regulatory requirements is growing. However, traditional ITIL support and infrastructure services are not equipped to support these requirements due to inadequate and complex in-house data management systems and a lack of required skillsets to manage such systems.
What we do
Rapinno ADDRESSES COMPLIANCE, COMMERCIAL & OPERATIONAL CHALLENGES WITH AI/ML-LED MANAGED SERVICES SUPPORTED BY CLOUD-HOSTED TOOLS
Rapinno brings together a full suite of Managed Data Services to support the end-to-end data lifecycle for your business. We help enterprises manage data analytics ecosystems using service catalogues and by enabling managed data curation, ingestion, pipelines backup and archival.
We also support the maintenance of AI solutions and BoTs and help execute enhancement projects to embrace change while ensuring data access, user management, security and data availability. Our skills and experience in different flavors of data technologies such as remote data management, data and analytics, data pipeline development, automation, cloud data management and site reliability engineering complement managed data services offering from every angle.
Our Offerings
END-TO-END ECommerce Enablement services
Our eCommerce Enablement services include:
Data Ops
- Bringing all the distributed analytical, storage, processing, and visualization systems / workloads, under a common pipelined workflow and automating it to deliver fast and time-efficient repeatable deployment frameworks.
- Utilizing CI / CD, scheduling, security, governance, and monitoring techniques, based on legacy and cloud systems.
MLOps
- Implementing CI/CD, and retraining pipeline for an AI application using DevOps and Machine Learning workflows for training, scoring, deploying, and managing machine learning models at scale.
- Using MLOps to automatically create workspace, compute resources, ML pipelines and scoring images to be deployed to higher environments. It also helps to register the new efficient trained model as and when the new data comes in, by comparing it with previous models using AutoML techniques.
Our Offerings
SCALABLE, RESILIENT, AND PREDICTABLE DATA OPERATIONS
Rapinno Managed Data Services deliver significant business advantages:
Increased Operational
Efficiency & Effectiveness
Reduce the time-to-market, effort, and complexity involved in creating a modern data infrastructure, and managing the quality of your data. Reduce the effort of standing up teams to measure, monitor, and remediate.
Reduce
Compliance Risk
Support compliance journeys by identifying what data the business has, where it is stored, and who has access. Ensuring critical data is governed, accurate, and up to date.
Increased
Innovation
Unravel valuable insights and drive innovation with data at the center. Break organizational silos to extract the maximum value of your data. Frees up resources to focus on higher-value activities.
Our methodology
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how we do it
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how we do it
Our approach
Rapinno uses a consultative approach by combining data engineering, cloud, data privacy, and compliance skills with proprietary frameworks and maturity models to construct a modern data ecosystem. In addition, our flexible resourcing model allows for the rapid scaling of teams through a pod or virtual pod-based approach.
our Data Services to accelerate the data transformation journey.
M4 Data Strategy Roadmap
A proprietary execution framework for analytics engagements. M4 provides a proven strategy
and predictable steps for data modernization. It helps map use cases to modernize
architecture and migrate to the cloud while giving all stakeholders a clear view of expectations.
m1
map
Map current state challenges with strategic goals to showcase critical milestones (Quarterly view)
Map milestones (Quarterly) with specific data assets, data products and capabilities delivered
m2
modernize
Modernize data architecture and deliver data models for optimized semantic layer, integrated key management process, data pipeline
Modernize information consumption capabilities
m3
migrate
m4
monitize
Data Dip
This framework solves challenges associated with data pipeline validations. It is distributed in the form of deployable code framework which seamlessly integrates with existing AWS data ecosystems.
Our expertise
WITH THE LATEST CLOUD & ANALYTICS PLATFORMS & TOOLS
Rapinno has experience with the leading cloud and analytics tools, and platforms. We take an agnostic and unbiased approach with the goal of selecting the right tools for the organization and environment. We can help you take full advantage of these tools and platforms to maximize your ROI with them.
key partnerships
THE OUTCOMES WE DELIVER
Enabling holistic Digital Commerce ecosystem
Rapinno’s Digital Commerce Platform Enablement Services deliver significant business advantages:
Build a connected Digital commerce foundation
Manage complexity and risk through a modular and flexible architecture
Ensure interoperability and ease of integration across various best of breed software platforms
Provide scalability to support an omnichannel buying experience for consumers and customers
FAQ’s – Advanced Analytics
Managed data services offer numerous advantages to businesses:
- Cost Efficiency: By outsourcing data management tasks, businesses can reduce overhead costs associated with maintaining an in-house data infrastructure and workforce.
- Expertise and Scalability: Managed service providers (MSPs) possess specialized knowledge and resources, allowing businesses to access expertise and scalable solutions tailored to their needs without investing in extensive training or infrastructure upgrades.
- Enhanced Data Security: MSPs implement robust security measures and protocols to safeguard sensitive data from cyber threats, ensuring compliance with regulations such as GDPR and HIPAA.
- Improved Efficiency and Focus: Outsourcing data management allows businesses to focus on their core operations and strategic initiatives, leading to increased productivity and competitiveness.
- 24/7 Monitoring and Support: MSPs offer round-the-clock monitoring and support services, minimizing downtime and ensuring continuous availability of critical data resources.
Examples of managed data services include:
- Data Backup and Recovery: MSPs offer automated backup solutions and disaster recovery plans to protect against data loss and ensure business continuity.
- Database Management: MSPs oversee the administration, optimization, and maintenance of databases, ensuring optimal performance and reliability.
- Data Warehousing: MSPs provide secure and scalable data warehousing solutions for storing and managing large volumes of structured and unstructured data.
- Data Analytics and Business Intelligence: MSPs offer advanced analytics and BI services, helping businesses derive actionable insights from their data to drive informed decision-making.
- Data Governance and Compliance: MSPs assist businesses in establishing data governance frameworks and ensuring compliance with regulatory requirements related to data privacy and security
