Drive measurable outcomes by integrating powerful analytics platforms with your business processes.

Accelerate Growth with Analytics & Platform Implementation

Our primary focus is to address intricate business challenges, and this objective is at the heart of our data analytics consulting methodology. Whether we are shaping your data strategy, constructing a data warehouse, or creating a tailored solution to suit your specific needs, our consultants go beyond simply developing technology.

 

We take a comprehensive approach by leveraging data to solve business issues and unlock new opportunities. We consider the people, processes, and technologies involved in data and analytics to provide insights that are aligned with your business context.

 

High-performing data and analytics capabilities are centered around enabling businesses to ask better questions and receive better answers with consistency, trust, and timeliness.

Our Data & Analytics Solutions

Modern Analytics Platform (MAP)

Our Modern Analytics Platform (MAP) adheres to the best data architectural practices tailored to business use cases and analytics enablement, incorporating the latest principles of cloud computing. MAP utilizes a set of proven accelerators and a value-driven delivery strategy to ensure your organization transitions from zero to data-driven in a sustainable way that produces incremental ROI. Using MAP, we integrate your enterprise data into a Modern Analytics Architecture, enabling business intelligence, advanced analytics, scalability, and interoperability.

Healthcare Analytics Platform (HAP)

Our Healthcare Analytics Platform (HAP) is a pre-configured analytics solution based on the Fast Healthcare Interoperability Resources (FHIR) domain model, supporting both payer and provider use cases. This platform consolidates data from multiple sources or utilizes existing Enterprise Data Warehouses (EDW) with advanced analytics capabilities that link performance metrics to operational areas. Clear business and metric definitions drive precise decision-making, offer deep insights into patient and member populations, and help optimize workflows – all while reducing costs.

Insurance Analytics Platform (IAP)

The platform supports our full insurance value chain, linking performance metrics to various functional areas of your business. It also includes industry-specific data models, use cases, business glossaries, and dashboards to accelerate data-driven decision-making within your operations.

What Sets Innovadel Technologies Apart

Our People

Our passionate and goal-driven consultants possess a wide range of expertise and are dedicated to diving deep into the work, measuring success by tangible results rather than promises.

Our Approach

We offer an unmatched experience, combining knowledgeable consultants with adaptable, tailored methods, all focused on achieving the right outcomes for your business.

Our Mindset

We see your business as our own. We are not merely external consultants but dedicated, experienced extensions of your team, caring for your business with the same commitment we would for our own.

Frequently Asked Questions

How do you incorporate machine learning and AI into your data analytics solutions?

We guide clients towards modern data platforms and practices that take full advantage of available AI solutions. Properly managed data in cloud environments with effective metadata supports both traditional machine learning and generative AI technologies. In addition to technical solutions, we offer policy and process guidance as part of our comprehensive data modernization and strategy recommendations. Our AI solutions are customized for each industry and align with the expertise of business domain SMEs (subject matter experts).

How do you ensure your data analytics solutions are scalable and adaptable for future needs?

Our team uses modern data warehousing approaches and medallion architectures to ensure broad scalability. However, the key factor is a clear data modeling approach that aligns our warehouse and mart models with your business model, not just your source systems. This ensures that the data we provide to your organization is aligned with how you intend to use it. As businesses evolve, your data model must evolve with them to prevent every change to your business from causing a ripple effect on your data environment.

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Resources

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