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# From Scattered Data to Strategic Decisions #
We combine process automation, AI, and data engineering to transform chaotic data flows into a clear, structured foundation for business growth.

What is Data Dev?

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Process + Data, Combined

We connect RPA and AI automation with robust data infrastructure

So your workflows don't just run faster, they generate insights. 

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Data Pipelines That Actually Work

We build and maintain ETL/ELT pipelines that integrate ERP, CRM, financial, logistics, and document systems into one coherent data flow. 

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Analytics for Decision-Makers

We translate raw data into dashboards, reports, and AI-powered insights that managers can use — without waiting for the IT department. 

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Our Data Dev Services

 
Data-Pipelines

Data Integration & Pipeline Development

 We connect your ERP, CRM, financial, logistics, and document management systems into unified, automated data pipelines. No more copy-pasting between platforms or missing data silos.

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Microsoft Fabric & Databricks Implementation

As certified partners of Microsoft Fabric and Databricks, we implement and configure industry-leading data platforms for your business — from Lakehouse architecture to Semantic Models and AI-ready data layers.

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AI-Powered Data Analytics

We deploy AI agents and analytics models (including Microsoft Fabric Data Agent) that let your team ask business questions and get instant, data-driven answers — no SQL, no code, no waiting.

🔗 Integration & Development

☁️ MS Fabric & Databricks Implementation

🤖 AI-Powered Data Analytics

Data Dev. in Action!

Our Technology Partners

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Why choose us?

We have more than  6+ years of experience. 

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Our Clients Say

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Frequently Asked Questions

Have Question? We are here to help

What is Data Dev by GoodWill?

Data Dev is GoodWill Tech's data engineering and analytics direction, developed in partnership with MK-Tech. It combines process automation (RPA/AI) with data pipeline development, ERP/CRM integration, and AI-powered analytics — helping businesses build a reliable data foundation for strategic decision-making. 

How is Data Dev different from RPA or RPA+AI services?

RPA and RPA+AI automate specific tasks and workflows. Data Dev goes a layer deeper — it ensures the data generated by those processes (and across all your systems) is properly structured, integrated, and made available for analysis and AI. Think of it as the data infrastructure that makes your automation smarter. 

What systems can you integrate?

We work with ERP systems (SAP, 1C, Microsoft Dynamics), CRM platforms (Salesforce, HubSpot, Pipedrive), financial systems, logistics and WMS platforms, document management systems, and custom internal tools. If it produces data, we can connect it.

What platforms do you use for data engineering?

We are official partners of Microsoft Fabric and Databricks — two of the world's leading data and analytics platforms. We also work with Azure Data Factory, Power BI, dbt, and other modern data stack tools. 

How long does a Data Dev implementation take?

Timelines vary by scope, but a typical initial engagement — connecting 2–3 systems and delivering the first working analytics layer — takes 4–8 weeks. We work in iterative sprints so you see results quickly.

Do we need a large IT team internally to use these solutions?

No. We design solutions that business users can operate independently. Our goal is to reduce your dependency on technical intermediaries, not increase it.