Data insights that empower better decisions.
Building connected, automated, and explainable data systems that turn operations into intelligence.
Building connected, automated, and explainable data systems that turn operations into intelligence.
From fragmented data to intelligent systems
At Evara Analytics, we build connected data ecosystems that bring together automation, forecasting, and analytics.
We help organizations move beyond manual reporting by designing automated systems and workflows that scale with operations, remain explainable, and deliver clarity

Automate recurring reports and workflows using Python / SQL pipelines that save time and reduce human error.

Integrate business drivers and ML models to predict demand, revenue, or resource needs with confidence.

Build interactive Power BI / Tableau dashboards for clear, real-time insight across teams.

Unify Excel, CRMs, and API data into secure, scalable databases that form your single source of truth.
Collaborative by design
Every project begins with understanding your operations -- not just your data. We work closely with your teams to define goals, uncover inefficiencies, and design systems that integrate seamlessly into existing workflows.
We begin by mapping your existing data landscape -- where it lives, how it flows, and what gaps exist. Together, we identify bottlenecks, define key metrics, and align technical priorities with your broader business goals.
This stage ensures we build solutions that address real operational needs, not abstract data problems.
Once priorities are clear, we architect automated data pipelines and models tailored to your workflows. Whether it’s SQL-based process automation or predictive ML forecasting, this phase replaces repetitive tasks with reliable, reusable code that scales as your business grows.
We connect data across platforms -- CRMs, spreadsheets, APIs, or databases -- creating a unified, trusted foundation. Every system undergoes validation checks for data quality and model performance, ensuring results remain transparent, explainable, and dependable across teams.
Finally, we deploy dashboards, forecasting tools, and reports that make insights instantly accessible. We track measurable ROI and performance, refining models and pipelines as your business and data needs evolve -- ensuring long-term clarity and adaptability.
Evara Analytics was founded by Drishti Idnani, a Data Scientist who has led large-scale analytics and automation initiatives at Intel and ASUS — where her work shaped data strategy across forecasting, operations, and product planning. She built systems that improved forecast accuracy, automated thousands of manual hours, and made decision-making faster and more data-driven across teams.
Evara was created to bring that same level of technical rigor and clarity to growing businesses — organizations that need data systems they can rely on, but don’t want the complexity or cost of enterprise infrastructure. We focus on making data approachable, building solutions that work with your existing tools, and ensuring every model and workflow is explainable and easy to maintain.
Our approach is grounded in partnership. We don’t just deliver dashboards or models — we design with you, integrate with your teams, and build solutions that continue to evolve long after implementation. That’s how we measure success: when your data processes become simpler, faster, and more reliable every day.
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