Unlock the full potential of your data with expert guidance
Data is the lifeblood of modern businesses, but unlocking its true potential requires more than just collection—it demands strategic engineering. Our Data Engineering – Empowering Insights service is designed to help organisations transform raw, scattered data into actionable insights that drive growth and innovation. Delivered by the Insight SFI Research Centre for Data Analytics, this expert-led service equips businesses with the tools and strategies needed to streamline data processes, improve data management, and establish scalable data pipelines. Whether you’re facing challenges with data silos, inconsistent quality, or inefficient workflows, this service will empower your organisation to leverage data effectively for decision-making, reporting, and advanced analytics.
What to Expect:This comprehensive service guides you through the key steps of data engineering:
1-to-1 Strategy Clinic (1-hour online)
Discuss your objectives, challenges, and vision for data-driven decision-making.
Identify pain points in your current data processes.
Data Landscape Consultation (2-hour online)
Analyse your organisation’s data infrastructure and uncover opportunities for improvement.
Assess strategies for data governance, integration, and storage to enhance efficiency and compliance.
Customised Data Engineering Roadmap
Receive a clear plan outlining your current ("as-is") and future ("to-be") data landscape.
Define a step-by-step approach to implementing best-practice solutions aligned with your long-term business goals.
Identify the right technologies and frameworks to support your organisation’s unique data needs.
Turn raw data into powerful insights that drive success—book our Data Engineering – Empowering Insights service today and take the first step toward building a smarter, more scalable future for your organisation.
Data Engineering - Empowering Insights
Meet Michael Scriney, Assistant Professor at Dublin City University, is an experienced PhD specialising in data warehousing, ETL, and data integration, with expertise as a data analyst, programmer, and AI/ML practitioner focused on developing data-driven systems.
Connect on LinkedIn to explore Asst. Prof. Scriney's expertise further.