We help enterprises unify analytics, automate reporting, and deliver intelligence that empowers precise, data-backed enterprise decisions.

Data Analytics & Business Intelligence are about transforming disconnected information into meaningful insights that improve visibility, predict performance, and guide strategic decisions. Modern enterprises rely on connected, real-time analytics to move beyond assumptions and make data-driven actions effortless.
At Sinki.ai, we design analytics systems that unify data, automate insight delivery, and scale intelligence seamlessly across the enterprise. Leveraging our Databricks expertise, we help organizations simplify complexity, improve accuracy, and make every insight count.

We evaluate your analytics ecosystem, identify performance gaps, and design tailored strategies that strengthen data visibility, utilization, and decision confidence.
We modernize BI strategy, optimize platform performance, and align intelligence delivery with evolving enterprise goals, KPIs, and decision workflows.
We create interactive visual experiences that simplify complex data, enabling faster understanding, informed storytelling, and smarter decision-making across teams.
We transform legacy BI systems into agile, cloud-native architectures that enhance performance, scalability, and accessibility across modern analytics environments.
We build predictive models that uncover trends, forecast outcomes, and empower enterprises to make proactive, data-driven business decisions.
We leverage Databricks SQL to unify queries, optimize performance, and deliver real-time analytical insights across structured and unstructured enterprise data.
We begin by understanding your current data landscape, key challenges, and business goals to create a clear modernization roadmap.
We design a scalable, secure architecture that's tailored to your needs, from pipelines to governance and cost management.
Our experts develop and deploy reliable data pipelines, workflows, and integrations through a phased, low-risk implementation approach.
We enhance performance, improve cost efficiency, and implement governance frameworks to keep your systems compliant and scalable.
Finally, we set up monitoring, alerts, and continuous improvement so your data ecosystem can evolve as your business grows.
Accelerate time from raw data to actionable dashboards and AI models.
Maintain secure, compliant data with lineage tracking, access controls, and Unity Catalog integration.
Ensure high availability with monitoring, alerts, and automated recovery for production pipelines.
Future-proof your data systems to grow with evolving business needs.
Optimize Databricks and cloud usage to reduce operational expenses.
Build engineered data foundations that support ML lifecycles and MLOps.
Our team brings deep analytics expertise to help enterprises establish reliable, insight-driven, and scalable decision systems.
We turn fragmented and complex data into structured, accessible, and ready-to-analyze information.
Our analytics solutions fit within existing systems, ensuring smooth adoption without disrupting operations.
We deliver clear visibility into performance, enabling leaders to track progress and respond faster.
We ensure every report, dashboard, and insight is built on validated, accurate, and trusted data.

Stay updated with the latest trends and insights in data analytics & business intelligence services:
Data Analytics focuses on identifying trends and predicting outcomes, while Business Intelligence translates those findings into actionable insights for strategic decision-making and performance improvement.
Our experts transform raw data into measurable insights, improving forecasting, efficiency, and visibility through Databricks-optimized analytics and modern BI frameworks.
Implementation timelines depend on scope. A pilot setup may take weeks, while enterprise-wide analytics and BI modernization typically spans a few months.
Yes, Sinki.ai integrates analytics seamlessly across ERP, CRM, and legacy platforms, ensuring unified data visibility and consistent insights across your enterprise ecosystem.
Our analytics workflows include data validation, lineage tracking, and automated checks to ensure every insight remains accurate, consistent, and trusted.
Sinki.ai’s BI frameworks establish trusted, structured data foundations that power AI and ML models with cleaner datasets, faster processing, and reliable predictions.
We use Databricks, Power BI, Tableau, and leading cloud analytics tools to deliver scalable, secure, and future-ready enterprise intelligence solutions.
We define business KPIs upfront and measure improvements in decision accuracy, operational efficiency, and time-to-insight to quantify measurable ROI.