Fixed-Price Delivery
Defined scope, committed cost, accountable outcome for well-understood programmes.
Every service below is delivered by consultants who carry hands-on SAS, cloud, and big-data credentials, not generalist project managers reading from a vendor playbook. Jump to a service, or talk to a specialist about a specific programme.
Full-lifecycle SAS delivery across 9.x, Viya 3.x, and Viya 4: implementation, administration, migration, performance tuning, and solution design for AML, Fraud, Risk, and Customer Intelligence platforms. Our founder's 8+ years as Head of Enterprise Excellence Center at SAS Institute India anchors a bench with genuine platform-internals depth, not vendor-certified familiarity.
For a CTO, this translates directly into fewer environment surprises: capacity planning that holds under real load, SSO/IWA integration that doesn't stall a go-live, and multi-tenancy configurations that survive an audit.
Migrations are where analytics programmes stall: not in the target architecture, but in the sequencing, the code that doesn't port cleanly, and the reporting SLA nobody accounted for during cutover. ZIDEA has executed SAS 9.4-to-Viya migrations and on-premise-to-cloud deployments on AWS and Azure at production scale, and we plan every migration around continuity of business reporting, not just infrastructure readiness.
Deep domain expertise in financial fraud detection, multi-tenant AML implementations, and financial crime analytics for banking institutions across Asia and the Middle East. We build detection logic that distinguishes genuine anomalies from noise: the difference between a system analysts trust and one they learn to override.
Our related read: why legacy rules-based fraud detection is failing regional banks.
Architecture and delivery of data lake, streaming, and processing infrastructure built for enterprise-scale performance. We design pipelines around the reporting and modelling workloads that actually run on them, not a reference architecture that looks clean in a diagram and buckles under real transaction volume.
Multi-cloud deployment and private-cloud orchestration across AWS, Azure, GCP, and Kubernetes. We specialise in SAS-on-cloud and hybrid architectures: the workloads generalist cloud consultancies tend to under-scope because they don't understand SAS's own resource and licensing model.
From demand forecasting and customer intelligence to production ML model deployment, we work across Python, R, TensorFlow, and SAS's own analytical frameworks, matching the tool to the problem rather than forcing every model into one stack. For regulated clients, model explainability and governance are treated as first-class requirements, not an afterthought before an audit.
From fixed-scope delivery to long-term managed services, the commercial structure adapts to the nature of the problem, not the other way round.
Defined scope, committed cost, accountable outcome for well-understood programmes.
Daily or monthly rate engagements for evolving requirements where flexibility matters more than upfront certainty.
Niche SAS, cloud, or data engineering talent embedded into your team, ramped quickly, cleared to work.
Holistic end-to-end delivery with ZIDEA holding operational accountability for agreed outcomes.
Cost-effective delivery from our Pune centre, with onshore governance where procurement requires it.
Client-facing onshore presence with offshore execution depth, optimised for cost and quality.
ZIDEA builds and runs a specialist team, then transfers full operational ownership at an agreed milestone.
Structured 8-16 week training programmes to upskill your internal team on SAS, Viya, or data engineering stacks.
Engagement models describe the commercial shape of a programme. These are the operating processes underneath them: how we plug into a pre-sales cycle, how a hybrid onshore-offshore team actually gets onboarded, and how high-touch training is structured so it sticks.
An existing pool of multi-talented resources lets us free up bandwidth for short or temporary projects (pre-sales activities, delivery enhancements, or a scoped proof of concept) without pulling a client-facing team off a live engagement. ZIDEA can contribute at any stage of the pre-sales cycle, across most popular technologies and solutions, for short-term talent needs, limited delivery, or one-off service requests.
Technical response support at the earliest stage of a procurement cycle.
Grounding the response in what the environment actually needs.
Framing the technical ask against the underlying business problem.
Positioning the solution against realistic alternatives.
Modelling how the solution performs under real conditions.
Building the technical solution architecture.
Packaging technical and commercial response together.
Validating the approach before full commitment.
The hybrid onshore-offshore model lowers cost by leveraging remote resourcing while still meeting a client's requirement for an onsite presence. This is the sequence we run so it works in practice, not just on a commercial slide.
Matching skillset to scope before anything is finalised.
Locking the boundaries of what onshore and offshore teams each own.
Client-site onboarding runs in parallel with remote resource onboarding.
Offshore resources travel onsite for signoff where the client requires it.
Onsite project kick-off and orientation, then offshore resources return and continue execution remotely.
High-touch onboarding is built to let organisations retain talent: upskilling or cross-skilling existing resources who can then be reassigned across other projects, rather than staying dependent on external consultants indefinitely.
Identify the domain or solution, and consolidate the internal resource team who will be trained.
Training module customised based on the specific demography and existing skill level of the team.
A trainer is engaged for a scoped duration to run structured, curriculum-based sessions.
Focused, supervised hands-on training on real or representative workloads.
Newly trained resources work under minimal supervision before full handover.
Formal disengagement and signoff, with a post-training support window built in.
Our consultants carry domain context alongside technical certification: the difference between configuring a fraud rule and understanding why it exists.