AI SUCCESS Services

Data Engineering

Data is the foundation of every decision. Manage it well with a modern approach to data engineering

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Enrich, Visualize & Grow with our seamless data services

Good Data engineering enables companies to effectively manage, process, and analyze large volumes of data. Upgrading to a modern data engineering stack is particularly important as it can help companies extract maximum value from their data, drive better business outcomes, and remain competitive in today's data-driven economy.

Our team of experts provide end to end data service strategizing data purpose, adopting best practice & governance, executing and managing data management projects with speed and cost into consideration.

data engineering
Data Engineering

Data Pipelining and Platforming


Data pipelines management to extract, transform, and load data from various sources into a central repository, such as a data warehouse.

Data lake strategy for a centralized repository that allows companies to store all their structured and unstructured data at any scale.

Modern Data warehousing for building a centralized repository of data that can be used for reporting and analysis.

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Data Engineering

Data Modeling and Transformation

Data modeling to design a conceptual model of the data that will be used in a system, including the relationships between different data elements.

Data cleansing by identifying and correcting errors and inconsistencies in data to improve its quality.

Data governance and security for establishing policies and procedures for managing and protecting data assets, implementing measures to protect data from unauthorized access or attacks.

Data Analysis and visualization for creating graphical representations of data to help users better understand and analyze the data

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Benefit from a modern data architecture and a robust data regime aligned with your advanced real-time analytics and AI/ML teams
Improve Data Quality

Ensure that data is accurate, consistent, and relevant, which can improve the overall quality of the data

Increased data accessibility

Make data more easily accessible to those who need it, when they need it and where they need it the most

Enhanced performance

Make data access more efficient and faster to improve data-driven decision-making and effective analysis

Increase Scalability

Allow orgs to handle larger volumes of data and more users without performance degradation

Enhanced Security

Improve the security of data systems, protecting against unauthorized access and data breaches

Reduce Costs

Drop costs by streamlining data processes and minimizing the need for manual data management

Ready to get started?

We can help you advance your Data Engineering and AI projects. Contact us to schedule a demo to learn about our data-driven services.

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Why choose Predera AIQ

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Drug Risk Management
Signal Detection
Detect Patients and analyze their Reports
Causality Assessments
Challenging Pharmacovigilance Problems
Aggregate Reports
Periodic Safety Update Report (PSUR), Periodic Benefit Risk Eval Report (PBRER)
Adverse Event
Data Mine Pharmacovigilance Convert ICSR Data To Structured Format
QA in Pharma

Adverse Event Reporting

Individual Case Safety Report (ICSR) Prevent Duplicate Reporting Permit follow-up for additional info Allow Anonymous Report Drug with various trade names across world

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20m
Vigibase Report (ICSR Global Database from WHO)
7 b
Pharmacovigilance Global Market By 2024
> 120
Countries Reporting To Vigibase
90%
Represent World Population By