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IndiaOverview
Data plays a vital role in enhancing operational efficiency as digital businesses evolve. Critical data must be governed, monitored for quality, and integrated with other datasets to deliver actionable insights to improve outcomes and generate value.
By implementing a cloud-first approach combined with robust consulting services, Innova develops a modern data ecosystem that broadens access to high-quality data, significantly reduces the time needed to gain insights, and fosters engaging user experiences to boost business.
Understanding the key drivers for change
Capturing the business vision
Assessing organization capability/skills data management maturity
Educating and creating data literacy
Setting the desired state of what can be achieved with data
Creating a strategy with clear deliverables
Emphasizing that foundational investments are key and ongoing
Delivering a Full Spectrum of Future-Forward Solutions
Our solutions blend creativity and technology to enable banking and financial institutions to thrive in a competitive, digital-first landscape—ensuring customer delight and long-term success.
Data is a crucial corporate asset that, if poorly managed, can saddle organizations with inconsistent data sets, data quality issues, and incompatible data silos. Innova's data modernization services include a robust data management strategy that empowers organizations to gain better control over their data. This involves a comprehensive roadmap for cataloging and governing data, implementing data quality measures, and classifying data based on sensitivity. We leverage strong data governance frameworks and processes to safeguard sensitive information
Because a well-defined data governance program is key to an effective data management strategy, we help businesses scale their data governance maturity model in five phases:
The Data Governance Maturity Model: We follow a standardized three-way data governance framework to progress through the five levels of our maturity model. This model facilitates access to high-quality and trustworthy data while ensuring regulatory compliance, privacy, and confidentiality.
Initially, we establish an inventory that serves as a single source of truth, offering insights into all data sources, storage locations, and the eventual outcomes. This inventory is essential as it improves efficiency and accountability for everybody in the organization.
Next, we identify the data owners who collaborate with data stewards responsible for managing the data within a specific domain and ensuring compliance, literacy, and quality management.
Finally, we establish a governance committee to determine the budget, data access policies, standards, and data quality issues. When implemented within an organization, this structured workflow ensures that the right data is accessible to the right person, at the right time, and in a reliable, standardized format.
Before we initiate a data migration project, we assess existing data and data gravity to understand the client’s objectives—which may include consolidating data or creating a data lake—and desired outcomes, such as extracting value from data, saving costs, or ensuring data quality. Based on these objectives, our team executes processes designed to achieve these goals with minimal risk and operational impact.
To enable data migration, we set up a migration factory that helps us identify the data sets and decide on the required integrations, patterns, and data-loading mechanisms. The migration factory integrates with existing processes and SLAs, enabling customizations to meet the client’s needs.
A well-defined approach for cloud data migration includes:
DevOps
Framework
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- Setup a global CI/CD platform for prem and cloud deployments as a shared service across the organization
- Service Now based serv ice catalogs and CMDB
- Leverage Innova’s test automation framework to support test automation as part of CI process
- On demand provisioning / deprovisioning automation for infrastructure as code, application deployment
- Application performance monitoring enablement
Cloud
Readiness Assessment
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- Work with Application owners to assess the readiness of the applications for cloud migration
- Leverage our accelerators for topology discovery, infrastructure blueprinting, infrastructure as code and application deployment automation tools.
Service
Catalog
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- Leverage our Architecture patterns for Azure and enhance the service catalog with architecture patterns and configurations (T-Shirt Sizing) catering to various applications / groups
- Incorporate cost optimization, scale, DR by leveraging Azure autoscaling, Spot-instances, optimum utilization of reserved instances
Cloud
Migration
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- Adopt/enhance existing architecture patterns.
- Create service catdog for the application
- Setup CI/CD pipeline for cloud deployment
- Enhance the services catalog
- Assist the application owners in end to end validation and cut-over
Monitor
& Feedback
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- Post migration, monitor infra, application performance, quality and cost of operations
- Provide recommendations on operations improvement areas
Over the past decade, data tools and teams have primarily focused on data aggregation, transformation, and storage. However, the true value of data is realized in its consumption, an area that is often overlooked and fragmented.
While most organizations have digitized their data cycles, the linear flow from data generation to consumption creates complexity. This often hinders data consumers, such as analysts, marketing teams, and data scientists, by impeding their work. The solution to this challenge is found in DataOps.
What does DataOps deliver?
Our offerings and services encourage collaboration between traditionally siloed roles, driving innovation. We help organizations evolve their data management strategy to handle data at-scale while aligning with real-time market changes. We adopt an agile, collaborative, and adaptable approach to DataOps, encompassed by four phases:
Step 1
Virtualized datasets automatically update in the background and offer transparency to data consumers. This unified data helps locate data errors and create insightful reports.
Personal spaces called Datapods create a unique environment for each team to automatically scale and host microservices and data mounts.
Privacy and security is ensured with role/policy-based secured access to the encapsulated Datapods.
Datapods are integrated to CI/CD, easily accommodating infrastructure updates and providing a pipeline to run through various environments.
Innova facilitates data enablement services by focusing on data literacy, cultivating an enterprise-wide data culture, and implementing user-friendly technologies. Our first step is to bridge the gap between IT and the business and then identify the challenges impeding data use, such as a lack of communication between departments, an insufficient budget, a lack of skilled human resources, and a lack of efficiency and scalability. Our data enablement initiatives help organizations scale along the maturity curve, unlocking the complete potential of data.
Clients Successes Stories
Data Engineering & Pipeline Management
Data Warehouse Solution for a Logistics Company
Enterprise Data Management on Hadoop
Integrated Health Data Platform
Ready to Innovate with Us?