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Outdated data infrastructure can hinder your business growth. Our data modernization services are designed to overhaul these traditional systems, integrating advanced technologies that enhance data accessibility and drive insightful analytics.
At N-iX, our data modernization services extend beyond mere enhancements, incorporating a comprehensive suite of data analytics and data warehousing solutions designed to maximize the value of your data. With over 200 data experts and over 60 successful data projects, we deliver expertise in data warehouse research, discovery, implementation, and ongoing support.
We streamline your data from disparate sources into a cohesive platform, enabling seamless access, management, and governance. All your data assets are accurately synchronized and readily accessible for analysis.
Revamp your data architecture to support scalable, flexible, and more efficient data operations. This data engineering service transforms legacy systems into modern, cloud-based environments that facilitate faster data processing and reduced overhead.
Ensure your data's integrity, compliance, and security with our comprehensive data governance services. We establish stringent data policies, implement advanced encryption, and set up access controls. This service includes metadata management, data lineage tracking, and continuous monitoring for threats and vulnerabilities.
Our experts ensure a smooth and secure transition of your legacy data to modern platforms. Being a data modernization consulting company, we handle complex data migrations with minimal downtime, ensuring data integrity and accuracy.
Modern data infrastructure enables advanced analytics and reporting, driving informed decision-making and strategy development.
Automation and real-time data analysis streamline workflows, reduce manual tasks, and enhance productivity.
Modern systems can scale effortlessly with fluctuating workloads, ensuring optimal performance without over-provisioning.
Leverage sophisticated data analytics modernization to gain faster, deeper insights, allowing for quicker responses to market changes and opportunities.
Seamlessly integrate data from multiple internal and external sources. Achieve a unified view of your data landscape.
We define your business needs and develop a data strategy aligned with your goals and vision. This includes the logical design of the data warehouse building, the logical design of ETL architecture, and proposing several solutions with different tech stacks.
We start by reengineering your existing data architecture. This involves introducing modular structures supporting current and future data types and sources. Our experts design a future-proof data strategy and establish effective data governance.
We integrate over 100 different data sources into the unified data platform, improving your capabilities to collect and analyze data.
We implement solutions that make retrieving data and obtaining reports quicker and more efficient. This consists of developing ETL routines, data profiling, loading historical data into a data warehouse, implementing data quality checks, and tuning data automation.
N-iX has a proven track record of delivering over 60 successful data projects, everaging the expertise of more than 200 data professionals and 7 data system architects;
We offer comprehensive data services, from Business Intelligence and Big Data to Machine Learning, Artificial Intelligence, and Data Science;
Industry-leading companies like Gogo, Fluke, Redflex, Cleverbridge, and Lebara have benefited from our data services;
Our data modernization service company’s partnerships with top cloud providers, such as AWS, Google Cloud Platform, and Azure, enable us to deliver robust, scalable, and efficient data solutions;
N-iX ensures data protection compliance by adhering to GDPR, HIPAA, PCI DSS, ISO 9001:2015, and ISO 27001:2013;
N-iX has been acknowledged as a "Rising Star in Data Engineering" by ISG.
Data platform modernization services help address challenges such as legacy system inefficiencies, data silos that hinder analytics, scalability issues due to growing data volumes, and compliance risks related to outdated data security measures. By modernizing data systems, businesses can overcome these challenges and streamline their data modernization practices.
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