Accelerate innovation with tailored enterprise-grade solutions.
Unlock growth with sector-specific strategies built for scale.
We empower your business to move from raw data to proactive decisions. Our expertise covers the entire modern data stack, ensuring that every team, from HR to Operations, has the valuable insights necessary to drive measurable business outcomes.
Strategy, Implementation & Insights
Analytics and Business Intelligence encompasses the entire data lifecycle—from ingestion and storage to advanced analysis and visualization. iAppSys provides end-to-end expertise to build a modern data foundation that scales with your growth, integrating best-in-class solutions from Oracle, Microsoft, Google, AWS, and modern ISVs to ensure your teams have secure, real-time access to the metrics that truly matter.
Comprehensive Technical Mastery
We bridge the gap between Data Engineering, Data Science, and Business Analysis by providing certified expertise across the entire technology stack, from data ingestion to final reporting.
We architect scalable platforms on leaders like Databricks and Snowflake, alongside native cloud Data Lake solutions. We unify structured and unstructured data, enabling concurrent workloads for analytics.
We specialize in large-scale Power BI and Tableau implementations, focusing on developing semantic models. Our expertise extends to OAC, Looker, and Apache Superset for seamless multi-cloud reporting.
In addition to native cloud services, we also utilize Databricks MLflow and H2O.ai to build, track, and deploy models. We ensure production-class monitoring, versioning, and continuous retraining for reliable intelligence.
Implementing low-latency data streams using Kafka, Kinesis, or cloud-native services provides operational teams with real-time dashboards and instant feedback loops.
Applying software engineering rigor to data modeling, we ensure reliable, tested, and idempotent transformations, creating a single source of truth for all business metrics.
To establish automated quality assurance and data observability, we implement centralized cataloging, discovery and tracking, crucial for compliance and traceability.
Enterprise Marchitecture Overview
OLTP / ERP Systems
Salesforce
CRM
Google
Analytics
Marketo /
HubSpot
Shopify /
Stripe
Web/App
Logs
Fivetran
(SaaS)
Airbyte
(OSS/Cloud)
Matillion
AWS Glue
ETL
Azure Data
Factory
GCP Data
Fusion
Apache Kafka /
MSK
AWS
Kinesis
GCP
Pub/Sub
GCP
Dataflow
Azure Stream
Analytics
AWS S3 / Lake
Formation
Azure ADLS
Gen2
GCP Cloud
Storage
Databricks
Delta / Iceberg /
Hudi
OCI Object
Storage
Snowflake
GCP
BigQuery
AWS
Redshift
OCI
HeatWave
Azure
Synapse
Azure Data
Explorer
Collibra
Alation
Azure
Purview
GCP
Dataplex
Great
Expectations
dbt
Alteryx
Designer
Spark /
Pandas
Apache
Airflow
Dagster
AWS
Sagemaker
GCP
Vertex AI
Azure ML
Studio
MLflow
Hugging
Face
Weights &
Biases
Pinecone
Redis
Chroma
DB
PGVector /
PostgreSQL
Weaviate
AWS
OpenSearch
Tableau
Power BI
Looker
ThoughtSpot
Qlik
Sense
MicroStrategy
RAG
Chatbots
Content
Generation
Custom AI
Apps
OpenAI
API
Gemini
API
Text-to-Image
Models
Hightouch /
Census
Segment
PagerDuty /
Slack
Braze /
Marketo
IT & Operations Focus
For IT staff, DBAs, and DevOps, pipeline stability and security are paramount. We deploy solutions that prioritize infrastructure-as-code (IaC) principles, robust monitoring, and efficient resource utilization, ensuring predictable and cost-effective data service delivery.
Implementing and managing complex Directed Acyclic Graphs using tools like Apache Airflow or cloud-native schedulers. We guarantee end-to-end pipeline reliability and timely SLA compliance.
We enforce row-level security to manage access control policies, and ensure encryption-in-transit/at-rest for all data. This secures sensitive information for regulatory demands, including HIPAA and GDPR.
Deployment of data observability frameworks and techniques that proactively detect data drift, schema changes, and completeness anomalies before they impact published data in dashboards and reports.
Our solutions are designed to address the specific data challenges of leading industries, delivering measurable ROI and long-term analytical maturity.
The competitive landscape demands businesses evolve from intuition-based decisions to fact-based strategies. Companies leveraging data consistently outperform their peers in market share and profitability.
Average multiplier realized by companies that make data-driven decisions vs. those that don’t.
Source: MIT Sloan
Global organizations that believe data analytics is essential to their digital transformation efforts.
Source: Gartner
Average annual revenue achieved by organizations that extensively utilize BI and analytics platforms.
Source: Forrester
Start Your Data-Driven Journey
Our experts are ready to design a scalable, secure, and future-proof data strategy that leverages high-performance platforms like Databricks, state-of-the-art BI from Power BI, and advanced AI/ML with H2O.ai to accelerate insight delivery and drive tangible business outcomes.
Request a Data Strategy Consultation
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