PowerfulData Analytics & Business Intelligencefor Enterprises

Empower data-driven decisions with tailored BI and data analytics consulting, advanced analytics, and intuitive dashboards – designed, deployed, and scaled by experts.

Trusted Excellence

ISO 27001
CMMI Level 5
Recognized by GoodFirms
20+ Years of Analytics Expertise

Our Core Data Analytics & BI Offerings 

Big Data & Real-Time Streaming

Architect petabyte-scale data lakes and streaming pipelines (Kafka, Kinesis, Spark) that turn raw events into instant business signals, perfect for fraud detection, IoT monitoring, and live customer engagement. These real-time analytics platforms create a competitive edge by shrinking decision latency from hours to seconds.

Power BI, Tableau & Custom Visualizations

From pixel-perfect executive scorecards to self-service reports, our end-to-end data visualization services and dashboard development services transform complex datasets into interactive stories. Expect custom drill-throughs, mobile-ready layouts, and role-based access that democratizes insight across the enterprise.

Predictive & Prescriptive Analytics

Our predictive analytics consulting team deploys machine-learning pipelines that forecast demand, churn, and risk, then layers prescriptive models to recommend the best action. Whether you need AutoML for rapid experimentation or bespoke deep-learning models, we embed MLOps to keep accuracy high and drift low.

DataOps, Governance & Security

Governance is baked in, not bolted on. We automate data quality checks, lineage tracking, and policy enforcement to meet HIPAA, GDPR, and SOC-2 requirements. Robust DataOps practices accelerate releases while guaranteeing integrity, security, and compliance your stakeholders demand.

Cloud-Based Business Intelligence

Leverage AWS, Azure, or GCP reference architectures for elastic, cost-efficient cloud-based business intelligence. You gain limitless scale, consumption-based pricing, and embedded AI services – all without the headache of infrastructure management.

Embedded Analytics for SaaS

Turn analytics into a product feature. We provide white-label dashboards, REST/GraphQL APIs, and JWT-secured embeds that drop seamlessly into your application, unlocking new revenue and boosting user retention with embedded analytics in SaaS applications.

Industries
We Transform

  • BFSI

    Credit-risk scoring, regulatory reporting, AML analytics.

  • Healthcare

    HIPAA-secure clinical dashboards, population health models.

  • Retail & eCommerce

    omnichannel analytics, dynamic pricing, sentiment mining.

  • Manufacturing

    OEE dashboards, predictive maintenance, supply-chain twins.

  • Government & Smart Cities

    Open-data portals, traffic flow analytics.

  • EdTech & eLearning:

    Learner progression analytics, adaptive content engines.

  • Logistics & Mobility

    Fleet telematics, route heat-maps, capacity forecasting.

  • Real Estate & PropTech

    Occupancy analytics, valuation models, smart-building IoT.

How We Deliver – The Seasia Agile Model

Dedicated BI Pods : Domain SMEs, data engineers, BI developers, visualization experts, QA, and delivery managers. Weekly demos, transparent burndowns, zero surprises.

Discovery & Strategy 
  • KPI workshops, maturity assessment, roadmap to build a data-driven organization with BI tools.

Data Architecture Design
  • Source → warehouse → model layers, security blueprints.

Proof of Concept
  • 2- to 4-week sprint validating business value.

Full Deployment
  • Agile releases with automated CI/CD for dashboards, models, and APIs.

Continuous Optimization
  • Data quality SLAs, cost governance, feature roll-outs. 

Choose an Engagement Option that Suits Your Unique Needs

Dedicated BI Team

Ideal When

You need to scale analytics capacity fast.

Outcome

2–20 BI specialists embedded in < 4 weeks.

BI Center of Excellence Setup

Ideal When

You want org-wide BI standards and governance.

Outcome

Framework, tooling, and enablement playbook.

MVP / PoC Development 

Ideal When

You must prove value before a major BI spend.

Outcome

Validated MVP/PoC in 30–60 days.

Data Audit & Re-Engineering 

Ideal When

Legacy pipelines are slow or breaking.

Outcome

Modernized ETL, schema drift resolved.

Client Results & Case Studies

“Seasia helped us build a unified data warehouse and executive dashboard, reducing reporting delays from weeks to hours.”— VP Operations, Global Retailer 

Explore All Case Studies
Retail BI Dashboard
  • Impact: 30 % faster category decision cycles, $4 M annual margin lift.
Healthcare Predictive Analytics
  • Impact: 18 % improvement in patient-outcome forecasting accuracy.
Logistics Real-Time Analytics
  • Impact: 12 % lower fuel costs via live ETA optimization.

  • Screen Damage Detection Software
  • Bike Riding App
  • Child Care Management System
  • Realesta (Real Estate Platform)
  • Healthcare App – Dr. First
  • Virtual Dressing Room (AR & AI-based)
  • Election Management Software
  • Custom Uniform Builder Tool
  • DMV Software

Screen Damage Detection Software

Web AppMobile App

A unified, enterprise-grade suite of proprietary AI tools that accelerates software delivery, enhances system reliability.

Case Study Details

What They Say

A unified, enterprise-grade suite of proprietary AI tools that accelerates software delivery, enhances system reliability, and significantly reduces time A unified, enterprise-grade suite of proprietary AI tools that accelerates software delivery, enhances system reliability, and significantly. Read More

Danny Trichter

Danny Trichter

CEO, Accessibility Checker, Israel

A unified, enterprise-grade suite of proprietary AI tools that accelerates software delivery, enhances system reliability... Read More

Danny Trichter

Danny Trichter

CEO, Accessibility Checker, Israel

A unified, enterprise-grade suite of proprietary AI tools that accelerates software delivery... Read More

Danny Trichter

Danny Trichter

CEO, Accessibility Checker, Israel

A unified, enterprise-grade suite of proprietary AI tools that accelerates software delivery, enhances system reliability... Read More

Danny Trichter

Danny Trichter

CEO, Accessibility Checker, Israel

A unified, enterprise-grade suite of proprietary AI tools that accelerates software delivery, enhances system reliability... Read More

Danny Trichter

Danny Trichter

CEO, Accessibility Checker, Israel

Insights & Resources

Mobile App Development-

11 Best NFC Payment Apps That Provides An Extra Layer Of Security

Integral To Each Contactless Mobile Activity Is A Small Microchip.

Fintech Software Development-

Developing Secure & Scalable AI-Driven…

91% Of Managers Are Currently (54%) Or Planning To (37%) Use AI Within Their Investment Strategy

June 24, 2025

Fintech Software Development-

Developing Secure & Scalable AI-Driven…

91% Of Managers Are Currently (54%) Or Planning To (37%) Use AI Within Their Investment Strategy

June 24, 2025

Fintech Software Development-

Developing Secure & Scalable AI-Driven…

91% Of Managers Are Currently (54%) Or Planning To (37%) Use AI Within Their Investment Strategy

June 24, 2025

Fintech Software Development-

Developing Secure & Scalable AI-Driven…

91% Of Managers Are Currently (54%) Or Planning To (37%) Use AI Within Their Investment Strategy

June 24, 2025

Frequently asked questions

Do I need a data warehouse for business intelligence? 
A governed data warehouse (or lakehouse) consolidates siloed systems, ensures one version of truth, and accelerates analytics performance. For real-time use cases we often pair streaming storage (e.g., Kafka, Delta Live Tables) with the warehouse.
Can I integrate BI with my ERP/CRM systems?
Yes. We provide pre-built connectors and custom APIs for SAP, Oracle, Microsoft Dynamics, Salesforce, HubSpot, and more, enabling near live refreshes and write-back where needed.
How long does it take to implement a BI solution?
A focused MVP is typically 8–12 weeks; enterprise-wide roll-outs with advanced data analytics and business intelligence features range from 4–9 months depending on data complexity and change management.
How does real-time data analytics work for enterprises?
Event streams (IoT devices, POS, sensors) are ingested via Spark Streaming/Flink → processed in-memory → surfaced in real-time analytics platforms and alert dashboards with sub-second latency.
What’s the difference between predictive and prescriptive analytics?
Predictive models forecast what is likely to happen; prescriptive analytics simulate multiple scenarios and recommend how to achieve the best outcome, often closing the loop with automated actions.

Build the Future with Data-DrivenIntelligence

From raw data to actionable insights, Seasia’s Business Intelligence Solution  power the decisions that move markets. Seasia Infotech -your partner in turning data into decisive action through world-class Data Analytics and Business Intelligence.