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Solutions Designed for Modern Retail Challenges
Data Strategy & Governance
Capabilities
- Data Governance & Compliance
- Master Data & Metadata Management
- Data Readiness & Maturity Assessment
- Data Product Strategy
- Data Cataloging
- KPI Frameworks & Metric Definitions
Tech Stack & Tools
Collibra, Alation, Microsoft Purview, Apache Atlas, dbt metrics, Great Expectations, OpenMetadata, Google Cloud DLP, Power BI Governance, Monte Carlo, BigQuery Data Catalog, Excel + AI
Why it Matters
A solid governance layer reduces regulatory risk, boosts trust in data-driven decisions, and accelerates self-service analytics across departments.
Data Infrastructure
Capabilities
- Data Architecture
- Data Lakes & Warehousing
- Cloud & Multi-Cloud Environments
- Big Data Management
- DataOps & Infrastructure-as-Code (IaC)
- Data Security, Access & Privacy
Tech Stack & Tools
Snowflake, Google BigQuery, Databricks, Redshift, Azure Synapse, Terraform, dbt, Airflow, Kubernetes, Apache NiFi, S3, GCS, LakeFS, HashiCorp Vault, Apache Ranger, Cloud IAM
Why it Matters
Resilient infrastructure supports real-time decisions, lower data latency, centralized access control, and faster deployment cycles—all critical in modern retail environments.
Data Processing
Capabilities
- ETL/ELT Development
- Real-Time Data Streaming
- Pipeline Orchestration
- Pipeline Monitoring & Testing
- Data Integration (3rd Party / APIs)
- Data Quality & Observability
Tech Stack & Tools
Apache Airflow, dbt, Fivetran, Talend, Informatica, Kafka, Spark Streaming, Flink, Segment, Postman, Dagster, Prefect, Great Expectations, Monte Carlo, Soda, BigQuery, Azure Data Factory
Why it Matters
Clean, real-time, and reliable data enables faster reporting, intelligent automation, and seamless omnichannel experiences for your customers.
Data Analytics & AI
Capabilities
- Machine Learning & Deep Learning
- AI Applications & Agents
- Predictive Modeling & Forecasting
- Interactive Dashboards & Reports
- Business Analytics
- Executive Data Storytelling
Tech Stack & Tools
Python (Scikit-learn, XGBoost, TensorFlow, Keras), R, Azure ML, Vertex AI, Databricks MLflow, SparkML, Power BI, Tableau, Looker, Streamlit, LangChain, OpenAI, Plotly, Google Data Studio, Prophet
Why it Matters
AI-driven decision support uncovers hidden patterns, improves campaign and inventory performance, and creates data experiences that actually get used by executives.