Insights That Matter

Organizations must implement an effective data engineering strategy to maintain control over their business data, no matter where it resides. InfaWorx empowers businesses to embrace a culture of data-driven decision-making by optimizing and converting information into valuable business assets.

Data Management Practice – Service Offerings

Effective Data Management improves the consistency, quality, and availability of data about your business-critical entities such as product data, asset data, customer data, employee data and location data. But why is that important?
Data Integration
Design & implement Data architectures aligned with business goals
Design Data Models, Data Pipelines & Workflows
Define data strategy by analyzing data assets
Data Collection & ingestion from various sources
Policies for Data Access & retention
Data Quality
Data Quality Assessment & Recommendation by Data Profiling & Analysis
Data Cleansing & Enrichment
Establish a process for data management & quality control
Training & Support
MDM
Assessing current data infrastructure
Defining policies and procedures for data management
Evaluating and selecting the right MDM solution
MDM Software Install, Config & Integration
Migrate data from disparate sources into MDM solution
Training & Support
Data Governance
Develop Data Governance roadmap for the organization delivering business value
Defined data accountability and responsibility
Shared knowledge and common understanding of data assets
Improved data ROI and reduced data debt
Support for ethical use and handling of data in a culture of excellence

Data Management – Programs | Solutions | Accelerators

Data Management Advisory Program
Administer, configure, and monitor system performance
Continuously improve through evaluation, patch management, and performance tuning for enhanced accessibility
Ensure security, compliance, and disaster recovery to protect data
Migration services: Assist with migrating data
Data Strategy Program
Align data strategy with business goals and data assessment
Develop architecture roadmap
Implement processes for accurate data
Establish governance policies for privacy
Foster data-driven culture for informed decisions
Data Governance Program
Assess enablers through workshops and interviews.
Use workbook for governance assessment
Establish data ownership and stewardship roles
Implement standards for consistent data
Manage data lifecycle
Data Management Platform Implementation Program
Define business requirements
Design integration architecture, workflows, and data mapping
Develop integration workflows, test in production, and migrate data
Monitor and maintain platform performance
Training and Support