Analytics & Reporting Solutions for Smarter Decisions

Our analytics service areas

Comprehensive data and analytics solutions that transform how you understand and use your business data.

BI Dashboards & Reporting Tools

Power BI, Tableau, Fusion Analytics solutions that transform raw data into actionable business insights.

Power BI dashboard development
Tableau visualization and analytics
Oracle Fusion Analytics implementation
Custom report development
Real-time dashboard creation
Mobile-responsive analytics

Data Lake + Architecture Support

Azure, Snowflake, on-prem connectors that create scalable data architectures for enterprise analytics.

Data lake design and implementation
Azure Data Factory pipelines
Snowflake data warehouse setup
On-premises data connectors
ETL/ELT process automation
Data governance frameworks

Predictive Analytics & ML Models

Use-case driven insights, what-if analysis, forecasting tools that enable data-driven decision making.

Machine learning model development
Predictive analytics implementation
What-if scenario analysis
Forecasting and trend analysis
Statistical modeling
AI-powered insights generation

Analytics technologies

Modern analytics stack for comprehensive data processing and visualization.

Power BI

Tableau

Azure Data Factory

Snowflake

Oracle Analytics

Python

R

SQL

Azure ML

AWS SageMaker

Databricks

Why choose Value Global

The unique combination of technical expertise and business understanding that drives analytics success.

Deep ERP + data experience

Unique combination of ERP knowledge and advanced analytics expertise.

Integration-first
mindset

Seamless integration with existing business systems and workflows.

Experience with Azure, Snowflake, Oracle, Power BI

Comprehensive expertise across leading analytics platforms.

Multi-industry relevance (energy, manufacturing, finance)

Proven success across diverse industry verticals

Our analytics approach

A proven methodology that ensures successful analytics implementation with maximum business value.

1 Discovery

Assess data sources, quality, and business requirements.

2 Design

Design scalable data architecture and analytics framework.

3 Implementation

Build dashboards, reports, and analytics solutions.

4 Optimization

Continuous improvement and advanced analytics enablement.

Power BI

Tableau

Azure Data Factory

Snowflake

Oracle Analytics

Python

R

SQL

Azure ML

AWS SageMaker

Databricks

60%

Average efficiency gain

99%

Process accuracy

24/7

Automated operations

3 mo

Average ROI timeline

1

Discovery

2

Design

3

Implementation

4

Optimization