SAP Consulting Partners for Data-Driven SAP Transformation
From S/4HANA migration to SAP Business Data Cloud, Modak builds the data foundation your SAP landscape needs for analytics and AI, with SAP-supported extraction and reduced risk at cut-over.
We Are Certified SAP Partners
Among certified SAP partners, few pair SAP know-how with deep data engineering. Our partnership goes beyond implementation. We work alongside your functional teams and other SAP implementation partners, with a shared mission to help firms unlock SAP data for analytics and AI, while minimizing disruption to the systems that run the business. Our delivery aligns technical execution with measurable business outcomes.
SAP S/4HANA & ECC
Reliable data extraction and integration from S/4HANA and ECC through SAP-supported interfaces, built for scale.
SAP Business Data Cloud
Unify SAP and non-SAP data as governed data products, and share them live, without copying, with Databricks, Snowflake, or BigQuery through BDC Connect.
SAP Datasphere
Design governed data models, semantic layers, and replication flows in SAP Datasphere, combining SAP and non-SAP data.
SAP BW/4HANA
As SAP consulting partners we modernize legacy BW into a cloud-native analytics foundation on SAP or your lakehouse.
SAP Databricks on SAP BDC
Run data engineering and ML on SAP data with SAP Databricks, the embedded Databricks component inside SAP Business Data Cloud.
SAP BDC Connect
Share SAP data products with your existing Databricks, Snowflake, or BigQuery environments live, in both directions, without copying data.
SAP-to-Cloud Integration
Pipelines from SAP into your lakehouse or warehouse, in batch and real time, on the cloud platform you already run.
SAP S/4HANA & ECC
Reliable data extraction and integration from S/4HANA and ECC through SAP-supported interfaces, built for scale.
SAP Business Data Cloud
Unify SAP and non-SAP data as governed data products, and share them live, without copying, with Databricks, Snowflake, or BigQuery through BDC Connect.
SAP Datasphere
Design governed data models, semantic layers, and replication flows in SAP Datasphere, combining SAP and non-SAP data.
SAP BW/4HANA
As SAP consulting partners we modernize legacy BW into a cloud-native analytics foundation on SAP or your lakehouse.
SAP Databricks on SAP BDC
Run data engineering and ML on SAP data with SAP Databricks, the embedded Databricks component inside SAP Business Data Cloud.
SAP BDC Connect
Share SAP data products with your existing Databricks, Snowflake, or BigQuery environments live, in both directions, without copying data.
SAP-to-Cloud Integration
Pipelines from SAP into your lakehouse or warehouse, in batch and real time, on the cloud platform you already run.
Modak SAP Consulting Services
SAP Data Readiness & Compliance Assessment
Landscape, data quality and extraction compliance review with a prioritized roadmap.
Modak maps your SAP sources, current extractions, and data quality before any build begins, flagging non-compliant pipelines such as ODP RFC. You receive a prioritized roadmap with clear migration and data-sharing paths, so decisions rest on evidence.
SAP Data Extraction & Integration
OData, CDS views and Datasphere replication flows with delta loading from SAP sources.
Modak extracts data from S/4HANA, ECC and BW through SAP-supported interfaces such as OData, CDS views and Datasphere replication flows, with delta loading. Our blueprints land SAP data in your cloud platform, compliant with SAP's extraction policies.
Data Productization & Pipelines
Production-ready, reusable pipelines built for scale.
Metadata-driven ingestion frameworks, automated data quality checks, and orchestration turn raw SAP extracts into discoverable, governed, production-ready data products. Our pipelines are powered by CI/CD, cataloged lineage, and built-in observability for reliable operations at scale.
Semantic Layer & Data Modeling
SAP business logic rebuilt as analytics-ready models.
Modak translates SAP tables and technical fields into business-ready models for finance, supply chain, procurement, and sales. A governed semantic layer gives every team consistent KPI definitions, aligning technical execution with strategic business outcomes.
Migration & Modernization
ECC to S/4HANA data migration and BW to Datasphere or lakehouse.
Modak helps reduce risk in SAP transformation by profiling, mapping, and validating data for ECC to S/4HANA and BW modernization programs. Automated reconciliation at cut-over helps maintain reporting continuity and limits business disruption while your SAP landscape changes underneath.
Master Data, Quality & Governance
Harmonization, lineage and policy enforcement across SAP data.
Modak harmonizes material, customer, and vendor master data using rule-based quality monitoring, deduplication, and standardization. End-to-end lineage and cataloging, with access policies aligned to SAP authorizations, help keep SAP data trusted, governed, and audit-ready outside SAP.
Analytics, AI & Managed Services
SAP data for BI, ML and GenAI, plus monitoring and optimization.
Modak delivers BI-ready datasets and ML and GenAI use cases on governed SAP data, backed by proactive monitoring and cost optimization. Structured knowledge transfer keeps your teams in control of the platform long after go-live.
Your Trusted SAP Consulting Partners
Depth of Talent
100+ SAP certified engineers, averaging 13 years of data-engineering expertise.
Trusted by Leaders
Fortune 100 innovators trust Modak, one of the recognized certified SAP partners, to deploy and scale production-grade SAP platforms.
Compliance-First Extraction
Pipelines designed around SAP-supported interfaces, with a review of what you run today.
Productized Accelerators
Reusable blueprints, ingestion frameworks, and governance templates help shorten delivery cycles across our SAP implementation services engagements.
SAP In Action
Trusted by the teams
who build what matters
Modak delivered exceptional work by completing all planned objectives while proactively identifying design gaps. Their collaborative approach fostered strong knowledge sharing and continuous learning across the engagement. Even under pressure, Modak maintained a supportive and professional environment, ensuring outcomes were achieved with precision and grace.
Modak provided excellent support, demonstrating consistency and commitment in resolving critical user issues within CML. Their proactive engagement and technical depth ensured challenges were addressed effectively, reinforcing trust and reliability throughout the process.
Modak provided excellent support in streamlining Cloud 3.0 integration and setting up key StreamSets components. Their expertise helped simplify the adoption of the new platform within CDF EPP and enabled meaningful product improvements, allowing tenants to focus on pipeline development with minimal infrastructure concerns.
SAP Data Engineering Services
From strategy to execution, helping enterprises unlock SAP data with precision and value at every stage.
They cover everything between deciding what to do with your SAP landscape and running it afterwards: readiness and landscape assessments, migration planning, implementation and integration, data modeling and governance, and ongoing support. As an SAP consulting company, Modak focuses on the data layer: extract SAP data through supported interfaces, prepare it for S/4HANA or SAP Business Data Cloud, and make it usable for analytics and AI.
There is no single price, because cost depends on scope. The main drivers are the number of SAP systems and modules involved, data volumes and quality, the target platform, how much real-time integration you need, compliance requirements, and whether you want ongoing support. Engagements are commonly structured as a fixed-fee assessment, a phased fixed-scope build, or a managed-services subscription. The most reliable route to a firm number is a short assessment that sizes the work before you commit to the full program.
It depends on scope. A focused data assessment or pilot on one business process can often be completed in weeks to a few months, while full S/4HANA transformations commonly run a year or longer. The biggest timeline drivers are data quality, the number of systems and interfaces, and the reconciliation needed at cut-over. Modak, as an SAP consulting partner, implements via phased delivery so that working results appear early, and we coordinate our schedule with your other SAP implementation partners so data work does not become the critical path.
Modak’s approach has four phases. Assess: map SAP sources, current extractions, data quality and compliance gaps. Design: choose the migration and data-sharing path and the target architecture. Build: deliver pipelines, models and governance in phases, starting with one business process. Run: monitor, optimize and hand over with documentation and training, with optional managed support. Every phase ends with a defined output, and we work alongside your functional teams and other delivery partners, not instead of them.
ROI comes from five levers: lower migration risk and rework, retiring duplicate or non-compliant pipelines, faster reporting and decisions, consistent KPIs that remove manual reconciliation, and a governed foundation that makes AI use cases practical. To make ROI measurable, we agree baseline metrics at the start, such as report turnaround time, reconciliation effort and pipeline run cost, and track them after each phase.