POC – TechVariable

Try Now, Commit Later

Redefine Goals and Mitigate Risks With
and Maintain Planned Pilot Projects

Validate your vision and minimize risks associated with full-scale implementation of new technologies with custom-engineered pilot projects.

Our Approach

How to Execute Your Custom Pilot Project

We follow a simple yet strategic roadmap to help you execute a real-world business use-case by leveraging our platform solutions tailored to accommodate your unique requirements.

Initial Consultation and Requirement Analysis

We help you undertake a thorough assessment of your existing data infrastructure, identify gaps and potential threats, and discover areas of business opportunity.

Project Design
and Development

Design a plan that outlines the scope, timelines, and expected outcomes of your project. Select the modules and features from our solutions that best fit your use case.

Testing and
Evaluation

Implement the project within your environment, gather feedback and understand the impact and performance metrics to evaluate it against pre-defined success criteria.

Review
and Iteration

Analyze the findings and iterate on the project to refine the approach before you proceed with the next course of action, getting the whole solution on board.

Initial Consultation and Requirement Analysis

Access Your Existing Data Fabric and
Identify Areas of Opportunity

Ensure Robust Data Discovery

Facilitate a comprehensive exploration of the current state of your data systems, identify strengths, weaknesses, and any potential bottlenecks. Help us gain invaluable insights into the intricacies of your data landscape, ensuring a nuanced understanding of your organization's unique needs.

Align Your Goals With Our Solutions

Ensure that our data solutions allow you to assess, refine and ultimately realize the full potential of your goals. Our data experts cherry-pick the most pertinent project or Proof of Concept (PoC) features that not only showcase the depth and breadth of our software but also exemplify tangible value and feasibility for your unique requirements.

Project Design and Development

Plan and Access the Viability of Your Project

Select Scope

Define the scope of the pilot by determining the specific features, modules, or business processes that will be included. Focus on a subset that is representative of the broader application but manageable for testing purposes.

Set Success Criteria

Establish measurable success criteria. These criteria should be aligned with your overall objectives and can include factors like improved efficiency, cost savings, or enhanced user satisfaction.

Identify User Groups

Choose the participants for the pilot project, considering diverse user groups that represent the intended audience for the platform.

Pricing

Leverage Smart Budgeting With Modular Pricing

Explore the best alternative to rigid SaaS platforms and pay for only the features or capabilities you need with our modular pricing model.

Testing and Evaluation

Implement a Real-World Business Use-Case and Evaluate its Success

Create Test Scenarios

Design realistic test scenarios that reflect the day-to-day usage of the software within the defined scope. These scenarios should cover a variety of situations to thoroughly evaluate the software's capabilities.

Evaluate Results

Analyze the data and feedback collected during the pilot to assess how well the software aligns with the defined objectives and success criteria. This evaluation will inform decisions about whether to proceed with full-scale implementation, make adjustments, or explore alternative solutions.

Review and Iteration

Elevate Your Platform Outcomes With Periodic Iterations

Gain User Feedback

Collect feedback from users who participated in the pilot. Understand their experiences, identify pain points, and uncover any unexpected challenges or opportunities that emerged during the pilot phase.

Adapt and Customize Our Solutions

Use the insights gained to adapt and refine the software solution. This may involve adjusting features, optimizing user interfaces, addressing performance issues, or making any necessary modifications to enhance the overall functionality and user experience.

Undertake Periodic Refinements

Make iterative refinements to the software based on the insights gained from the assessment and feedback. This process involves a continuous cycle of testing, feedback incorporation, and further refinement until the desired level of performance and user satisfaction is achieved.

Empower Generative AI Initiatives With A Comprehensive Governance Strategy

Implement comprehensive data governance strategies and deliver AI-ready datasets. Move beyond your peers by leveraging Generative AI applications without the hassle of complex data engineering.

Stay Agile With
Smart Budgeting

Helping your business thrive and deliver improved customer experiences.

KEEP EXPLORING

Automated data solutions
Generative AI capabilities
Our engagement model

Our Solutions

Hear What Our Consultants Have To Say
About Next-Gen Data Solutions

Read and watch insightful opinions pieces by our data experts and keep up your data management game accordingly.

Advanced Data ETL, Reporting and Gen AI

No-code data engineering

Automated data transformation

Enterprise-grade LLM

MODULES

Healthcare Data Management

Advanced Data ETL, Reporting and Gen AI

No-code data engineering

Automated data transformation

Enterprise-grade LLM

Solutions that ensure

Advanced Data ETL, Reporting and Gen AI

No-code data engineering

Automated data transformation

Enterprise-grade LLM

Explore more

Advanced Data ETL, Reporting and Gen AI

No-code data engineering

Automated data transformation

Enterprise-grade LLM

Try Now, Commit Later

Redefine Goals and Mitigate Risks With and Maintain Planned Pilot Projects

Our Approach

How to Execute Your Custom Pilot Project

Initial Consultation and Requirement Analysis

Project Design and Development

Testing and Evaluation

Review and Iteration

Initial Consultation and Requirement Analysis

Access Your Existing Data Fabric and Identify Areas of Opportunity

Ensure Robust Data Discovery

Align Your Goals With Our Solutions

Project Design and Development

Plan and Access the Viability of Your Project

Select Scope

Set Success Criteria

Identify User Groups

Pricing

Leverage Smart Budgeting With Modular Pricing

Testing and Evaluation

Implement a Real-World Business Use-Case and Evaluate its Success

Create Test Scenarios

Evaluate Results

Review and Iteration

Elevate Your Platform Outcomes With Periodic Iterations

Gain User Feedback

Adapt and Customize Our Solutions

Undertake Periodic Refinements

Empower Generative AI Initiatives With A Comprehensive Governance Strategy

Stay Agile With Smart Budgeting

KEEP EXPLORING

Our Solutions

Hear What Our Consultants Have To Say About Next-Gen Data Solutions

Blog

Conversational AI in Healthcare: 6 Use Cases

Data Engineering

Why is Data Analytics a Crucial Component for Digital Transformation?

Whitepaper

Is Your Data Infrastructure Future Ready?

Staff Augmentation

Augment your SaaS project with the right staff. Here’s how to choose.

Redefine Goals and Mitigate Risks With
and Maintain Planned Pilot Projects

Project Design
and Development

Testing and
Evaluation

Review
and Iteration

Access Your Existing Data Fabric and
Identify Areas of Opportunity

Stay Agile With
Smart Budgeting

Hear What Our Consultants Have To Say
About Next-Gen Data Solutions