Evaluate provides a structured approach to strengthen data reliability and accelerate decision-making through modern data management solutions.
It enables organizations to optimize data management, streamline operations, and ensure sustainable adoption of data-driven practices.
Core Capabilities
Data Management Strategy
Master data management to ensure quality, traceability, and control over data flows.
Data and Digital Driven Telemetry
Monitor applications and endpoints in real time to deliver accurate, proactive insights.
Foundation Data for AI
Establish a reliable data layer to enhance AI readiness and contextual analytics.
Trusted Dashboards
Centralized, accurate dashboards for executives to make confident business decisions.
Data Expertise Framework
A structured approach to scope use cases, streamline deployment, and ensure sustainable adoption of data solutions.
Data Acquisition & Integration
Centralizing data from multiple sources ensures consistency and accessibility.
Data Processing & Transformation
Cleaning and structuring raw data improves accuracy and usability.
Analysis & Visualization
Dashboards and reports turn data into clear, actionable insights.
Decision-Making & Strategy
Informed decisions drive efficiency, innovation, and growth.
Continuous Monitoring & Optimization
Ongoing tracking ensures adaptability and long-term performance.
Business Use Cases
A structured approach to strengthen data reliability and accelerate decision-making through modern data management solutions.
Improve Data Collection and Quality
Structured governance detects anomalies and ensures data quality throughout its lifecycle.
Enable Real-Time Analysis and Scenario Simulation
Real-time analytics and dynamic simulations enable quick, informed adjustments.
Ensure Consistency and Reliability Across Data Flows
Standardized models and business rules enhance data quality and improve reporting.
Automate and Secure Consolidation and Reporting
Automation reconciles data sources, detects discrepancies, and improves reporting reliability.
Data Pillars (Technical Foundation)
Breakdown of the structural pillars of the data value chain to build a consistent, sustainable, and value-oriented approach—from technical foundations to business use cases.
Data Governance
Organize and ensure data reliability from the source.
- Governance Assessment
- Data Strategy
- Data Governance Methodology and Solution
Data Platforms
Implement a modern, scalable, and efficient infrastructure.
- Enterprise Data Platforms
- DWH & Datalake
- Cloud Migration
- Performance Assessment
Data Management
Ensure data quality, traceability, and control over data flows.
- Data Flows Management (ETL/ELT, CDC, APIs)
- Data Quality Management
- Lineage and Impact Analysis
Data Analytics
Simplify access to dashboards, reporting, and analytics for business users.
- Reporting & Dashboarding
- Self-BI
- Mobile BI
- Embedded Analytics
- Business-Oriented Data Visualization
Tangible Benefits
A structured data approach, backed by governance and modern tools, fosters collaboration between IT and business teams.
It improves data quality, accessibility, and usability while ensuring scalability, reliability, and traceability across the organization.
INDUSTRIES WE SUPPORT
Retail Banking
Corp Banking
Wealth Management
Insurance
Conglomerates
Government Entities