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Information Management

for faster time-to-market, improved ROI, and faster insights.

We enable Pharma with next-gen data management and reporting ecosystem using Cloud technology, domain experts, and data science.

Data Strategy

DataZymes aligns data-centric capabilities with other technologies, people, and process initiatives. This makes it easier for clients to complement and build
upon to maximize benefit.

Data Capability Assessment
Data Procurement
Data Architecture
Data Quality
Data Capability Assessment
Leverages a capability maturity model to provide organizations with an understanding of the current state of data systems, along with a roadmap to enhance data growth for analytical purposes.
Data Procurement
Provides support to biopharma companies, and emerging and speciality pharma companies in evaluating different datasets. Helps in making the right data purchase based on the business needs of organizations.
Data Architecture
Helps organizations come up with future-proof data architecture – easily collect, integrate, store, enhance, and deliver data in rich and accurate formats to boost your organization’s business decision-making.
Data Quality
Builds proactive and organic data quality checks at both business and technical levels to reduce and eliminate data issues in downstream analytical processes.

Data Engineering

DataZymes builds Cloud-based data warehouses and systems using leading Cloud providers such as AWS, Azure, and Google Cloud platforms. It leverages partner ecosystems to optimize cost-to-value and speed-to-value for your big data and Cloud initiatives.

Custom Data Lakes
Commercial Pharma Data Platform
Data Migration
Data Ops
Custom Data Lakes
Designs and builds modernized data lakes fit for purpose, yet extensible for future use cases.
Commercial Pharma Data Platform
Integrates 30+ standard pharma data sources into a single, cross-channel Customer Data Platform (CDP) to support the launch and growth of your commercial products. This includes sub-national, claims, Specialty Pharma Provider (SPP), market access, Real-World Evidence (RWE), Non-Personal Promotion (NPP), and marketing and sales data.
Data Migration
Supports organizations in their journey from legacy data infrastructure to Cloud-based infrastructure (AWS, Azure).
Data Ops
Enables processes, people, and toolsets to provide clients with ongoing support in managing their data infrastructure.

Business Intelligence

DataZymes helps organizations easily transform large amounts of data into highly actionable and value-driven insights.

Data Visualization
BI Modernization
Embedded Analytics
User Adoption
Data Visualization
Uses best-in-class processes and techniques to build great visualizations that help you understand the big picture, identify trends, and highlight the data points that require your immediate action.
BI Modernization
Modernizes your Business Intelligence and supports your organization to be a lot more agile and effective by aligning innovative and technological improvements so that they are synced with business strategies and goals.
Embedded Analytics
Assists organizations with embedding rich visualizations, reports, charts, and dashboards rapidly and securely into software applications to significantly improve the value of businesses.
User Adoption
Provides a well-developed approach and framework to enable organizations to onboard business users onto the BI and analytics platforms seamlessly.

Master Data Management

Masters and links data from multiple sources to provide ‘one source of truth’

Provides deep Master Data Management expertise in customer, product, payer, and affiliation subject areas

Enables match-merge algorithms, data-cleansing, and business taxonomy through accelerators

Keeps a check on data standards through Master Data quality monitoring and reporting

Manages critical data effectively through data stewardship

Managed Services

Managed Services

Provides a scalable, flexible, and optimal operational model to satisfy future growth

Delivers actual demand for projects and services through technical skills

Dispenses a depth of expertise across technology stacks

Differentiators

Differentiators

Continuous innovation in modern business information management services

Differentiators

Strong technology partnerships to bring together the best practices from each

Differentiators

Well-built Pharma data and technology-arch talent team

Differentiators

Assured service and quality through a parallel service phase for stable operations assurance and quality

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