Frequently asked questions
Snap Analytics operates at the intersection of deep specialism and scale. With around 200 data consultants spanning Principals, Managers, and Associates, we carry the depth and capacity to deliver complex, enterprise-grade programmes while remaining focused exclusively on data, analytics, and AI. We do not dilute our practice across broad technology generalism. Every engagement is led and delivered by consultants who have built careers in this space, and our model is structured so that senior expertise shapes outcomes at every stage, not just at the point of sale. That focus is what we mean when we call ourselves a specialist consultancy.
A conversation, not a pitch. We will ask about your data landscape, your current friction points, and, most importantly, the business decisions you are trying to improve or accelerate. From there, we will share a candid view of where the opportunity sits and what a realistic path forward looks like. Expect straight talk, genuine curiosity about your context, and no time wasted on generic slide decks. If we are not the right fit, we will tell you that too.
We operate on a clear principle: AI accelerates, humans anchor. Our AI and HI (Human in the Loop) model means AI tools power the speed, automating analysis, accelerating development, and surfacing patterns across complex data, while our senior consultants govern, interpret, and validate every output before it informs a business decision. Technology does not define the brief. Business outcomes do. Every engagement begins with the same question: what decision or outcome does this need to improve? That answer shapes everything that follows.
Yes, we work across the full stack. From building the data foundations that make AI possible, through to developing and deploying AI-powered applications your teams can actually use. Whether that is a production-ready analytics layer, a predictive model embedded in an operational workflow, or an intelligent application built on your enterprise data, we can take it from concept to outcome. We do not hand off at the platform layer and walk away. We build for adoption, not just delivery.
We specialise in transforming core SAP ECC and S/4HANA data into AI-ready, cloud-based foundations, with Snowflake and Databricks as our primary data platforms. Alongside these, we work with a carefully selected ecosystem of technology partners to drive end-to-end transformation, covering ingestion, orchestration, and data quality. We also incorporate SAP Business Data Cloud products where they extend the value of a client's existing SAP investment. What separates us is the depth of SAP knowledge our senior consultants bring. We understand the data structures, business logic, and governance requirements that sit beneath enterprise systems, and we use that understanding to build platforms that do not just move data, but make it trustworthy, accessible, and ready to power AI at scale.
Yes. Snap Analytics holds ISO 27001 certification, the internationally recognised standard for information security management. This means our processes, systems, and culture are independently audited to ensure your data is protected to the highest standards, whether we are working with sensitive commercial data, personally identifiable information, or mission-critical SAP environments. For our clients, it is not simply a badge. It is evidence of a security-first operating culture embedded into how we work day-to-day.
Governance is built in, not bolted on. From data lineage and access controls to quality monitoring and audit-readiness, we design for trust from the foundation up. Whether you are navigating GDPR, sector-specific regulation, or internal compliance requirements, we ensure your data platform is something you can stand behind, not just rely on. Clean, well-governed data is also the prerequisite for AI that delivers real value. We treat quality as an engineering discipline, not an afterthought.