Capabilities
Data Engineering & Analytics
We help businesses make faster, better decisions by building future-ready data platforms. Whether you're modernizing your stack, enabling real-time analytics, or preparing for AI adoption — our solutions are designed to unlock measurable business outcomes.
Trusted by global and growing brands.
Our Core Capabilities
We design integrated platforms that connect every part of your business.
Modern Data Infrastructure
We deploy end-to-end batch and real-time data pipelines using ADF, DBT and Airflow, centralizing your lakes and warehouses for reliable insights.
Business Intelligence & Dashboards
We deliver self-serve BI portals in Power BI, Looker or Tableau, automate KPI reporting, and embed analytics with role-based access.
Data Migration & Integration
We migrate data securely to the cloud, integrate third-party systems and standardize schemas to eliminate silos and ensure consistency.
Analytics & AI-Readiness
We build advanced data models, enforce quality controls and craft ML roadmaps so you can unlock predictive insights and automation.
Industries We Specialize In
FinTech & Digital Banking
PropTech & Real Estate
EdTech
Retail & E-Commerce
Logistics & Supply Chain
Health & Wellness
AI & SaaS Platforms
Coliving Tech
Décor & Lifestyle Brands
Real Outcomes, Real Business Impact
We engineer scalable, high-performance data platforms ready for tomorrow's challenges. By implementing innovative toolchains and robust architecture, we minimize technical risk and maximize your potential to utilize advanced analytics and machine learning for sustained competitive advantage.
80%
Fast Reporting
98%
Data Accuracy
15+
Platforms Unified
4X
Analytics ROI
How we work?
Free Data Discovery
Audit your current setup and deliver a quick assessment.
PoC or Quick Win Setup
Validate outcomes with a 2–3 week working pilot.
Full Stack Implementation
Deploy end-to-end pipelines and dashboards.
Post-Go Live Optimization
Monitor, train, and tune continuously.
Let’s level up
your brand together
FAQ
Have any questions?
Data engineering involves building the infrastructure and pipelines that collect, store, and process raw data. Data analytics, on the other hand, is about interpreting that data to uncover trends, insights, and patterns.
At Noseberry Digitals, we bring both together—creating reliable data foundations and delivering insights that drive smarter decisions.
Data engineering helps organize, process, and move massive volumes of data efficiently using modern cloud-based pipelines. For growing Indian businesses, this ensures faster insights, scalable infrastructure, and optimized performance.
Noseberry Digitals designs and maintains robust data architectures that support real-time, high-volume, and multi-source data streams.
We work with leading tools in the modern data stack, including:
- Data Engineering: Apache Spark, Airflow, Kafka, AWS Glue, Snowflake
- Data Warehousing: Redshift, BigQuery, Azure Synapse
- Data Analytics & BI: Power BI, Tableau, Looker, Google Data Studio
Our team ensures the tech stack aligns with your business goals and performance needs.
Yes, we specialize in building custom dashboards tailored to your KPIs, business units, and workflows.
Whether you need real-time sales tracking, operational analytics, or executive reports, Noseberry Digitals creates visually compelling and interactive dashboards using tools like Power BI and Tableau.
We follow a full-lifecycle approach:
- Data discovery & source integration
- Pipeline development & ETL/ELT workflows
- Data warehousing & modeling
- Real-time dashboards & reporting
- Predictive analytics using ML models
With Noseberry Digitals, you get a single partner from raw data ingestion to actionable insight delivery.