What does a data strategy consultant do?
A data strategy consultant assesses your existing data infrastructure, identifies gaps and inefficiencies, and builds a structured roadmap to align your data architecture with business goals. For manufacturers, this typically includes auditing production and ERP data systems, defining governance policies, selecting the right cloud platforms, and creating a prioritized plan to enable analytics and AI capabilities across the organization.
Why do manufacturing companies need a dedicated data strategy?
Manufacturers generate high volumes of operational data from production floors, supply chains, quality systems, and ERPs — but much of it is siloed or poorly governed. A dedicated data strategy ensures this data is integrated, trustworthy, and accessible, enabling better production monitoring, demand forecasting, predictive maintenance, and AI-driven decision-making across the enterprise.
What is included in Cybic's data strategy engagement for manufacturers?
Our engagements typically include a full data landscape audit, maturity and gap assessment, governance framework design, cloud platform selection, data architecture roadmap, and implementation support. We cover data warehouse modernization, real-time pipeline design, BI integration, and AI readiness — all tailored to the specific operational context of your manufacturing environment.
How long does a data strategy consulting project take?
Timelines vary based on the complexity of your manufacturing environment and the scope of the engagement. An initial audit and strategy roadmap typically takes 4–8 weeks. Full implementation phases — including warehouse modernization and pipeline development — can range from 3 to 12 months depending on data volume, system complexity, and integration requirements.
How does Cybic handle data governance and compliance for manufacturers?
Cybic embeds governance directly into the architecture — not as an afterthought. We define data ownership policies, implement role-based access controls (RBAC), establish audit trails, and align systems with relevant compliance standards such as GDPR, HIPAA, and CCPA. Crucially, we never train AI models on your proprietary manufacturing data, ensuring full data privacy and confidentiality.
Which cloud platforms does Cybic work with for manufacturing data infrastructure?
We are platform-agnostic and work across AWS, Microsoft Azure, and Google Cloud. For data warehousing and lakehouse architectures, we specialize in Snowflake and Databricks. Our solutions are designed to operate in cloud, hybrid, and on-premise environments, ensuring manufacturers are never locked into a single vendor ecosystem.
Can Cybic integrate with our existing ERP and production systems?
Yes. We design data pipelines and integration layers that connect directly to existing ERP systems, CRMs, production monitoring tools, supply chain platforms, and legacy databases. Our engineering-led approach ensures integrations are built for operational reality — functioning within your current infrastructure without requiring a full system replacement or disrupting production workflows.
How do we get started with Cybic's data strategy consulting?
The first step is a discovery conversation where we learn about your current data environment, key business objectives, and pain points. From there, we scope an engagement that fits your timeline and priorities — starting with a structured audit and roadmap. Reach out through our contact form or speak directly with one of our data strategy specialists to begin.