1 week ago
Tanaya Amar Connects Enterprise Analytics, AI and Better Decisions
Tanaya Amar helps organizations understand large amounts of data.
She builds systems and dashboards that show leaders how their businesses are performing.
Her work has included healthcare, insurance, medical technology and e-commerce.
At eHealth Insurance, she helped replace disconnected spreadsheets and dashboards with more consistent reporting.
At Align Technology, she created analytics for a new subscription program for orthodontic providers.
Amar says dashboards should focus on the information people need to make decisions.
She also studies how artificial intelligence can work with large datasets.
Her research describes a system that uses large language models to transform data at scale.
She believes AI is most useful when the underlying data is accurate, clearly documented and trustworthy.
Tanaya Amar has spent more than eight years working in analytics, business intelligence and technology.
Her experience includes Accenture, CVS Health, Align Technology, eHealth Insurance and e-commerce work supporting eBay.
At eHealth Insurance, she developed more centralized and automated reporting to replace fragmented dashboards and spreadsheets.
At Align Technology, she led analytics and reporting for the Doctor Subscription Program for orthodontic providers.
Her recent writing and research focus on healthcare AI, data governance, dashboard design and large-scale LLM data transformation.
- Who
- Tanaya Amar, a technology and data analytics professional.
- What
- She has developed enterprise analytics, business intelligence systems, dashboards and research related to AI and data transformation.
- Where
- Her work has involved organizations in healthcare, insurance, medical technology, e-commerce and technology; she studied at Duke University and participated in a conference in Porto, Portugal.
- When
- Her U.S. career began full time in August 2019; a cited healthcare AI article appeared in March 2026, and her research was listed in the DATA 2026 proceedings.
- Why
- Her stated focus is to turn complex organizational data into reliable insights that support better business decisions.
AI Expansion
AI Safeguards
What AI Should Do
AI Expansion
AI and large language models can help organizations search information, identify patterns and transform large datasets more quickly.
AI Safeguards
AI results are useful only when the underlying data is current, well defined, documented and trustworthy.
Dashboard Design
AI Expansion
Organizations can make more information available through additional metrics, filters and reporting tools.
AI Safeguards
Too many metrics and competing filters can overwhelm users, so dashboards should prioritize the decisions they are intended to support.
Key facts
- Experience
- More than eight years in analytics, business intelligence and technology.
- Education
- Master of Engineering Management from Duke University.
- Industries
- Healthcare, insurance, medical technology, e-commerce and subscription-based businesses.
- eHealth work
- Built more automated and centralized analytics and reporting frameworks to address fragmented processes.
- Align Technology work
- Led analytics development for the Doctor Subscription Program for orthodontic providers.
- Research evaluation
- A reported 51,291-row agentic enrichment task achieved 96.2% accuracy, while a three-million-row deduplication task took 1.90 hours.
- Professional activities
- She has contributed to industry publications, conducted academic peer review and judged technology and innovation competitions.










