Technology & Our Approach

Every data-driven enterprise runs on architecture that works.

Our consulting team designs, builds, and implements comprehensive data ecosystems.

From warehouse to dashboard, from pipeline to insight. Decades of experience across industries. Deep expertise in modern and classical architectures.

Systems that:

Scale

Perform

Evolve with your business

# pipeline.config

pipeline {

ingest( <raw_input>)

transform( <quality_rules>)

model( <business_logic>)

export( <production_layer>)

}

Our Approach

1. Discovery & Assessment

Understand:

Current state

Data sources

Pain points

Goals

2. Architecture Design

Designing modern or classical data architectures:

Data Warehouse, Data Lake, Data Lakehouse, Data Mesh, or Data Fabric.

Tailored to your company's scale and complexity.

3. Data Engineering

Building robust pipelines, ETL/ELT processes, and integrations that make your data

Organized

Accessible

Reliable

4. Business Intelligence & Analytics

Turning raw numbers into clear, actionable insights:

Dashboards

Reports

Analytics from description to prescription

5. Data Governance & Security

Implementing frameworks that ensure your data is:

Trustworthy

Compliant

Protected

6. Platform Implementation

Deploying on the platforms that fit:

Azure

Databricks

Snowflake

IBM

On-premise when required

7. Knowledge Transfer

The client owns the system.

Documenting

Training

Handing over

Technologies

Cloud Platforms

Azure, Databricks, Google BigQuery

Databases, DWH, Lakehouse

MS SQL Server, Oracle, Apache Spark, PostgreSQL, IBMDB2, AzureSQL database, Mysql, Snowflake

BI & Visualization

Power BI, Microsoft Fabric, Tableau, MS BI Stack (SSMS, SSAS, SSIS, SSRS), Qlik

Data Governance & Quality

Informatica, Atomic Data Catalog

CRM (as Data Sources)

Salesforce, Microsoft CRM

ETL/ELT & Data Integration

Informatica (PowerCenter, Cloud Data integration), Talend, SSIS, Azure Data Factory, IBM Datastage

ERP (as Data Sources)

SAP, MS Dynamics 365 BC, MS Navision, Oracle EBS, Oracle Fusion, Infor, IFS, ABAS, Epicor, Iptor, SelectLine

Streaming & Real-Time Processing

Apache Kafka, Spark Streaming

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