● Data Solutions
Great decisions start with great data. 971 Technologies aligns your data vision with a practical roadmap—defining architecture, sources, pipelines, and KPIs—so you can move from fragmented spreadsheets to a governed, scalable platform. We build reliable ingestion (batch and real‑time), model your data for analytics, and deliver a single source of truth your teams can trust.
On cloud data stacks (AWS, Azure, Google Cloud), we implement modern warehouses and lakehouse patterns, semantic models for consistent metrics, and self‑service analytics with secure access. Governance and quality are built in—catalogs, lineage, data quality rules, MDM, masking, and PDPL‑aligned privacy—so insights are both accurate and compliant.
The result: dashboards leaders rely on, data products teams can reuse, and a platform that’s cost‑efficient, observable, and ready for AI/ML.
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What’s included in Data Solutions?
971 Technologies covers strategy, architecture, data engineering (batch/real‑time), warehousing/lakehouse, BI dashboards, governance/MDM, and AI/ML enablement—end to end.
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Which platforms and tools do you support?
We work across AWS, Azure, and Google Cloud using services like Snowflake, BigQuery, Redshift, Synapse, Databricks, ADF/Glue/Airflow/dbt, Kafka/Kinesis/Pub/Sub, and BI tools such as Power BI, Tableau, and Looker.
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How do you ensure data quality and trust?
We implement catalogs and lineage, define data quality rules and SLAs, manage golden records with MDM, and enforce security (RBAC, masking, encryption)—all aligned to PDPL and ISO 27001 practices.
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Can you migrate our legacy warehouse and reports?
Yes—971 Technologies assesses schemas and ETL, plans low‑risk cutovers, modernizes models, and rebuilds dashboards with a governed metrics layer for consistent reporting.
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How long do typical projects take?
Discovery/roadmap: 1–2 weeks. MVP data platform and first dashboards: 3–6 weeks. Governance/MDM and advanced analytics: 4–10+ weeks depending on scope.
