Tiger Analytics

More About Tiger Analytics

Tiger delivers advisory services (analytics roadmap, data/platform strategy), builds robust data foundations and operations, implements AI and ML pipelines, and rings in BI/ML Ops for sustained intelligence. Their solutions are grounded on a cloud-native tech stack for scalability. 

Use Cases & Applications

• Industry platforms: e.g., ML platforms centralizing data across portfolio firms, reducing reporting from 12 hrs to 40 min in life sciences.
• AI/ML automation: Real‑time model monitoring for insurers (70% effort reduction), self‑service ML platforms (40% dev effort reduction), and computer‑vision automation in CPG.
• GenAI-based BI: Conversational BI agents, contextual insights via LLMs, reducing dashboard fatigue, and enabling action-focused decisions. 

Competitive Advantages

• Reusable open IP accelerates development and ensures consistency.
• Product-centric, scalable architecture supports multi‑brand, multi‑market deployment.
• Agentic AI innovation: Tiger is shifting from probabilistic AI to autonomous agent systems for enterprise decisioning.

Industry-Specific Benefits

Strong presence in CPG, Retail, BFSI, Manufacturing, Logistics, Life Sciences, Healthcare, Tech & Telecom. Tailored accelerators and templates guide rapid value realization.

Limitations / Concerns

Cultural perceptions vary: Some former employees criticize internal culture and processes. One Reddit commenter notes: Toxic culture. Less of data science… like a smaller version of Infosys. However, Glassdoor reviews remain solid: 3.9/5 overall, 81% would recommend working there, and 79% positive about the business outlook.