Standardising customer and product data
Customer names and product codes are duplicated across systems. We define master records, matching and quality rules, cleanse data and document ownership and updates to reduce inconsistent reporting.
Data Intelligence and Automation
Data Management and Analytics
GRAVON helps organizations establish a trusted data foundation by improving data quality, integration, governance, and analytics, enabling reliable reporting, business intelligence, ERP optimization, and AI-driven decision-making.
Scope of Services
- Data Strategy
- Data Source Identification
- Data Quality Assessment
- Data Cleansing & Standardization
- Data Modeling
- Data Warehouses & Repositories
- Data Integration
- Master Data Management (MDM)
- Data Governance
- Operational Analytics
- Revenue & Cost Analytics
- Predictive Analytics
- Data Quality Monitoring
Business Value
- Improve data quality and reliability.
- Create a single source of truth.
- Support dashboards and executive reporting.
- Enable data-driven decisions.
- Prepare organizations for AI and advanced analytics.
- Reduce data inconsistency and duplication.
Practical Examples and Deliverables
These scenarios illustrate solutions that can be tailored to client data and the agreed scope.
Assessing and analysing a sales file
Management wants to assess a file before relying on it. We examine missing values, duplicates, distributions and outliers, and produce analysis and charts showing usable information and required corrections.
What the Client Receives
Quality report, organised data, data model or warehouse, quality rules and monitoring dashboards.
Measures of Success
Duplicate and missing-value rates, definition consistency and data preparation time. Targets are agreed after measuring the baseline.
- Step 1Fragmented data
- Step 2Clean and standardise
- Step 3Reliable analysis
- Step 4Clear report
Project Demonstration
Reviewing Data Analysis Results
The screen shows generated analytical insights in the data analysis assistant. Results are checked against source data and supplemented with quality rules and business definitions before management reporting.
Adapting the Demonstration for a Client
Adaptation begins by defining the use case, data and permissions, followed by a limited pilot and output review with the client team. Operating scope, support and integrations are agreed after pilot acceptance.
Reference project AI-Data-Analyst-Assistant
Related services
Is your organisation facing a similar challenge?
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