Data Management
Turn complex data into clean, usable intelligence. Build governed and cloud-ready data foundations that scale with your business.
Service-wise outcomes you can achieve
- Develop an Enterprise Information Management (EIM) and technology strategy that aligns data initiatives with business goals
- Build BI and MDM roadmaps tailored to existing tools, systems, and operational needs
- Establish a data governance framework with clearly defined ownership, metrics, and policies
- Identify compliance risks and data gaps through analytical and security assessments
- Design and implement scalable data architectures with integrated governance, quality, and security controls
- Build data pipelines to transform and unify structured and unstructured data across cloud and NoSQL/Hadoop environments
- Enrich raw data to improve usability and accuracy across business functions
- Enable efficient data migration, archival, and virtualized access for operational flexibility
- Define a comprehensive data strategy and modernize infrastructure using cloud data warehouses and frameworks
- Enable advanced analytics through on-demand data labs, workbenches, and enterprise-grade data lakes
- Extract insights from unstructured data using NLP, text mining, and machine learning
- Support real-time, micro-batch, and modern processing models for faster decision-making
- Transition from legacy BI to modern platforms like Gen-BI, Cloud BI, or BI-as-a-Service
- Set up centralized BI/Analytics COEs and competency centers to scale insights across teams
- Empower users with self-service dashboards, mobile access, and intuitive visualizations
- Leverage in-memory performance and AI-driven insights with a governed BI framework
- Assess MDM maturity and execute scalable implementations across systems and business units
- Integrate MDM with CRM platforms and aggregate data from SPP and other operational sources
- Establish stewardship processes with SOPs, ownership models, and RACI alignment
- Manage change requests, platform transitions, and legacy-to-modern MDM comparisons effectively
Al Across the Product Lifecycle
Pozent MDM Track Record
30+ MDM Projects Executed
15+ Ongoing MDM Operations
100+ MDM SMES
35% faster data processing
~99% measured data quality
60% fewer vendor issues
Defined SOPs & RACI Models
Industry Expertise Across Therapy Areas
Technology-Agnostic, Al-enabled Cloud DataMax Platform
Deep Data Experience Across Domains
Customer
We understand how healthcare provider and organization data varies across platforms. Companies can unify fragmented HCP/HCO profiles, resolve affiliations, and align identifiers like NPI or HIN to enable accurate targeting and segmentation.
Product
From managing drug and device hierarchies to cleaning up brand and strength inconsistencies, we ensure your product data is analytics-ready. We also help link fragmented entries across legacy systems and syndicated sources.
Payer-Plan
Make sense of plan-level access by connecting payer data to PBMs and MCOs, even when structures differ across systems. This serves as a precursor for easier pricing and contracting decisions.
Patient
We handle sensitive patient data with strict HIPAA compliance. Our solutions help de-identify personal information, track patient journeys across programs, and manage data from hubs, pharmacies, and clinical systems: safely and at scale.