Data Offering

1. Data Migration

We manage end-to-end data migration from legacy systems to modern platforms, ensuring accuracy, consistency, and minimal downtime.

This includes:

Data extraction from on-premise or cloud systems

Data cleansing, validation, and transformation

Build of migration templates and data mapping

Test loads, reconciliation, and quality checks

Cutover planning and go-live support

Supported platforms include SAP, Oracle, Microsoft Dynamics, Workday, Cerner, Salesforce, and industry systems.

Technologies: SAP BDC/LSMW, Oracle Data Loader, SQL Server, Azure Data Factory, Informatica, Talend.

2. Data Governance

Inventus helps organizations establish long-term governance structures that define how data is created, maintained, and used.

Our services include:

Governance framework design

Data ownership and stewardship models

Data policies, standards & guidelines

Data security and privacy controls

Regulatory compliance (GDPR, UAE Data Law, HIPAA-equivalent)

This ensures responsible, trusted, and compliant data management across the organization.

Technologies: Collibra, Informatica Axon, SAP MDG, Microsoft Purview, Oracle DRM.

3. Data Cleaning & Quality Management

We improve data quality across systems by removing duplicates, fixing inconsistencies, and enhancing completeness.

This includes:

Data profiling and auditing

Standardization and normalization

Deduplication processes

Data validation rules

Continuous quality monitoring

High-quality data improves reporting, forecasting, and system performance.

Technologies: Trifacta, Talend DQ, Informatica DQ, Power Query, SQL profiling tools.

4. Master Data Management (MDM)

We design and implement MDM solutions to centralize key business data such as customers, suppliers, employees, products, and assets.

Our services include:

MDM strategy and domain definition

Golden record creation

Hierarchy and taxonomy management

MDM integration with ERP/CRM/EMR

Ongoing governance and data stewardship

MDM ensures accuracy and consistency across all business systems.

Technologies: SAP MDG, Oracle Enterprise Data Management (EDM), Informatica MDM, Semarchy, Microsoft MDS.

5. Data Lake & Data Warehouse Implementation

Inventus builds modern data platforms to support analytics, AI, and reporting.

This includes:

Data lake design (structured & unstructured data)

Data warehouse and lakehouse solutions

ETL/ELT pipeline design and automation

Batch and real-time ingestion

Metadata and cataloging

Storage optimization and architecture design

Data lakes enable scalable analytics and a single source of truth.

Technologies: Azure Data Lake, AWS S3, GCP BigQuery, Snowflake, Databricks, Azure Synapse, Redshift.

6. Data Integration & Interoperability

We help connect data from multiple systems to create a unified view of the organization. :

Our services include:

Data integration architecture design

API-based and ETL-based integration

Real-time data synchronization

Interoperability between ERP, CRM, EMR, HR, and custom apps

Enterprise data catalog and lineage mapping

This ensures seamless data flow across all systems and departments.

Technologies: Azure Data Factory, MuleSoft, SAP CPI, Oracle OIC, Informatica IICS, Boomi.

7. Data Analytics & BI Foundation

Inventus supports the creation of modern analytics environments:

Enterprise dashboards and reporting

KPI definition and performance management

Data modeling and semantic layers

Self-service BI setup

Embedded analytics in enterprise apps

This helps organizations make data-driven decisions at all levels.

Technologies: Power BI, Tableau, SAP Analytics Cloud, Oracle Analytics Cloud, Qlik.

8. Data Architecture & Design

We design scalable and secure data architecture that fits business requirements:

Cloud-based data architecture

Data models for operations and analytics

Data security, encryption, and identity controls

Scalability and performance design

This includes aligning with enterprise architecture standards (TOGAF).

Technologies: Azure Architecture, AWS Architecture, GCP Architecture.

9. AI & Machine Learning Data Preparation

We prepare data specifically for AI and ML use cases:

Dataset preparation

Data labeling and annotation

Feature engineering

AI-ready data pipeline design

Storage for model training and inference

A strong data foundation is essential for successful AI adoption.

Technologies: Databricks, MLflow, Azure ML, AWS Sagemaker, Google Vertex AI.

10. Ongoing Data Operations & Continuous Improvement

We provide ongoing support to ensure data systems and processes stay reliable, secure, and updated.

This includes:

Monitoring pipelines and data flows

Fixing data issues and integrity problems

Enhancements and performance tuning

Adding new data sources

Governance and quality reviews