Discover
Map data sources, business questions, users, risks, ownership, and expected outcomes.
Sachak helps businesses build scalable data platforms, analytics systems, and data-driven solutions.
Transforming data into intelligent decisions
We build modern data platforms, analytics systems, and AI-driven solutions that help organizations unlock insights, reduce risk, and scale with confidence.
Business Value
Sachak focuses on measurable outcomes: faster decisions, trusted reporting, stronger governance, and data systems that can grow with the business.
Delivery Standard
Each engagement is structured around discovery, architecture, implementation, validation, and enablement so the final platform is understandable and maintainable.
Map data sources, business questions, users, risks, ownership, and expected outcomes.
Design platform layers, data models, security, orchestration, observability, and scale strategy.
Implement pipelines, dashboards, quality checks, APIs, workflows, and deployment patterns.
Check data accuracy, performance, reliability, access control, and business acceptance.
Document the solution, train teams, provide runbooks, and define ownership routines.
Architecture
A reference architecture showing how data flows from sources through ingestion, processing, and storage to analytics and AI.
Reference Model
A clear lifecycle helps users understand where their data enters, how it becomes reliable, and how it finally supports decisions across analytics, automation, and AI.
ERP, CRM, APIs, apps, files, logs, IoT, and partner data.
Batch and streaming collection with monitoring and retry logic.
Cleaning, validation, transformation, lineage, and governed models.
Dashboards, metrics, APIs, alerts, ML features, and self-service data.
Business action, risk response, optimization, and continuous improvement.
Technology Stack
We work across the modern data ecosystem from ingestion and processing to analytics, governance, and AI.
FAQ
Everything you need to know before engaging with us.
We primarily serve Banking & Finance, Insurance, and Telecommunications. Our data platform expertise applies to any data-intensive industry — retail, healthcare, and logistics clients have also benefited from our solutions.
Project timelines vary by scope. A focused data engineering pipeline typically takes 6–12 weeks. A full lakehouse or BI platform build runs 3–6 months. We provide a detailed delivery roadmap during your free consultation.
Both. We have deep experience with cloud-native architectures (AWS, GCP, Azure) as well as on-premise and hybrid deployments using open-source technologies like Apache Hadoop, Spark, and Kafka.
Our free consultation is a 45–60 minute session where we review your current data landscape, identify pain points, and outline a proposed architecture and roadmap. There is no obligation to proceed.
Yes. Knowledge transfer is a core part of our delivery standard. We document all implementations, run hands-on sessions with your team, and can provide ongoing mentoring and coaching after project completion.
We follow industry best practices for data security including role-based access control (RBAC), encryption at rest and in transit, audit logging via Apache Ranger/Atlas, and GDPR-aligned data governance policies.
We offer both fixed-price project engagements and time-and-materials contracts. Retainer-based support packages are also available for ongoing platform maintenance. Pricing is scoped after the free consultation.
Get In Touch
Tell us about your data challenges. We'll respond within one business day.
Build scalable data platforms, real-time analytics, and AI-driven solutions with Sachak.
