Turn Your Data From a Cost Center into a Revenue Driver
Unlock the true potential of your data with our Data Productization and Engineering services. We convert complex, fragmented data into structured, cloud-native, and AI-ready products, accelerating decision-making and insights across your enterprise.
What are your goals?
Our Data Productization and Engineering services support a variety of industries, helping organizations streamline their data workflows and accelerate insights.
Identify High-Value Opportunities
Systematically uncover and validate the most lucrative internal and external monetization opportunities hidden within your existing data assets.
Build a Bulletproof Business Case
Develop a data-backed business case and financial model that clearly articulates the ROI, secures executive buy-in, and justifies investment in your data initiatives.
Establish a Scalable Data-as-a-Product Framework
Implement the organizational structure, governance, and technical foundation to treat data as a product, ensuring a sustainable and scalable revenue stream for the future.
Our Strategic Approach
We guide you through a proven, step-by-step methodology to de-risk your investment and accelerate your time to market.
Data Asset Assessment & Valuation:
We begin by cataloging your unique data assets, assessing their quality, and performing a market analysis to determine their potential commercial value.
Opportunity & Use Case Definition
Working with your domain experts, we identify specific, high-impact use cases and define the potential data products that can serve them.
Financial Modeling & Business Case
We build detailed financial models to project potential revenue, costs, and profitability, culminating in a robust business case to present to your leadership.
Pricing & Packaging Design:
We determine the optimal pricing strategy (e.g., subscription, usage-based, per-report) and package your data into compelling offerings for your target market.
Go-to-Market & Sales Enablement
We create a detailed GTM plan, including channel strategy (e.g., Snowflake Marketplace, direct API), marketing messages, and sales team training materials.
Governance & Operational Plan
We help you establish the legal, security, and operational governance required to share or sell data safely and efficiently, ensuring compliance and customer trust.

Unlock the Full Value of Your Data
Our advisory service empowers you to not just sell data, but to build a lasting data-driven business.
Create New, High-Margin Revenue Streams
Increase the Valuation of Your Company
Gain a Sustainable Competitive Advantage
Deepen Customer & Partner Relationships
Fund Future Data & Analytics Initiatives
Foster a Culture of Data-Driven Innovation
Generative AI / Machine Learning
Machine learning and generative AI both learn from data, but their purposes and strategies differ. Here’s how: Machine learning is focused on analyzing data to find patterns and make accurate predictions. GenAI, on the other hand, is focused on creating new data that resembles training data

GenAI Quickstart
Rearc's GenAI Quickstart service is designed to help your organization harness the power of generative AI quickly and effectively.

Generative AI Workshops
A 1-2 day workshop to guide you from an initial idea to a detailed GenAI use-case, complete with an implementation plan.

Machine Learning Operations (MLOps)
Machine learning and generative AI depend on your data. MLOps helps automate the process.
Driving Customer Value
Need a custom solution?
You do not need to stick to ready to use solutions. We are flexible and can adapt to design solutions tailored to your specific business requirements.
Next steps
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