Data Science & Analytics
Data is the new oil — we help you refine it into premium fuel for growth. Our data science team of 60+ engineers and analysts combines statistical expertise, domain knowledge, and cutting-edge tools to build analytics platforms that turn petabytes of raw data into real-time business intelligence. We've processed over 50 petabytes of client data, built 800+ dashboards, and delivered insights that have driven $150M+ in documented business value.
Key Metrics
220
projects
50PB+
data Processed
800
dashboards
1200
pipelines
Our Capabilities
Comprehensive Data Science capabilities backed by deep expertise and proven methodologies.
Technologies We Use
We leverage industry-leading tools and frameworks to build robust, scalable solutions.
Industry Outlook: Next 10-15 Years
India's data analytics market will surpass $130 billion by 2030. The global big data and analytics market is expected to reach $745 billion by 2030. Organizations leveraging advanced analytics see 5-6% higher productivity. Real-time analytics will become the standard by 2028.
Data Science — Frequently Asked Questions
What does a Glomax data science engagement look like end-to-end?+
We follow a six-phase process: data audit → architecture design → pipeline development (ETL/ELT with dbt, Airflow) → analytics layer (Snowflake, Databricks) → visualisation (Tableau, Power BI, custom D3.js) → governance and continuous optimisation. Each phase produces a working deliverable reviewed with your team.
Can Glomax migrate our legacy BI tools to a modern cloud data stack?+
Yes. We have migrated dozens of enterprises from on-premise Oracle and Cognos setups to modern stacks like Snowflake + dbt + Looker or Databricks + Power BI. Migrations are zero-downtime with parallel runs until data quality is validated at the destination.
How do you handle data security and privacy compliance?+
We implement data encryption at rest and in transit, role-based access control, column-level masking of PII, and data lineage tracking via open catalogs. We are experienced with GDPR, India PDPB, HIPAA, and PCI-DSS requirements and integrate compliance checks directly into pipeline quality gates.
What is the difference between descriptive BI and predictive analytics?+
Descriptive BI (dashboards, reports) tells you what happened. Predictive analytics uses statistical models and machine learning to tell you what will happen — demand forecasts, churn probabilities, fraud scores, and dynamic pricing. Glomax delivers both within a unified data platform so one feeds the other.
Related Services
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