Δ
Unlock the value of your big data to reach your ultimate business goals faster.
Data Management applies collection, validation, storing, and accessibility of data to fuel AI solutions, data analytics systems, and business intelligence software. The efficiency and accuracy of each of those platforms vastly depend on the quality of data, ensured by reliable data engineering solutions and scalable data management processes. Well-tuned, effective, and secure big data management systems are the backbone and reason of success for outstanding data-driven companies: from disruptive startups to the leading Fortune 500 companies.
Nowadays, when businesses constantly gather vast amounts of data, it needs to be analyzed and transformed to gain actionable insights—otherwise, it’s a waste of valuable information. Big data management services can help efficiently process and validate data, eliminate duplicates and incompatible versions, structuring information by creating a rock-solid foundation for future analysis and fueling BI and AI solutions to make intelligent, data-driven decisions.
Cutting-edge data management solutions enable processing of enormous amounts of data, including audio, video, and other types of unstructured information in a matter of seconds. Huge volumes and unsupported data types aren’t the barriers any more. Board members and key decision-makers can access the information immediately rather than waiting another month for a dedicated manager or legacy systems to craft a report.
Conventional data management approaches result in numerous data storages of inconsistent information that require significant time and effort to make use of it. Applying data engineering services and technologies leads to coherent big data management throughout the organisation, empowering consumers to meet their information needs better, quicker or even autonomously.
Data security is crucial for every business—unencrypted, fragmented, and uncontrolled access levels can lead to data breaches and reputational and financial risks. Comprehensive data management services can help incorporate robust data security that ensures vital company information is backed up, encrypted and stored in centralized and secure data storage. This allows conducting regular security audits and preventing unauthorized access and data leaks.
Building data pipelines that consolidate information from multiple sources, and processing the data according to extract, transform, load (ETL) or extract, load, transform (ELT) methodologies. Big data management solutions empower businesses with a single source of trusted information, automated data reporting, and instant data-driven decisions.
Building, configuring, or upgrading cloud-based data lakes and data warehouse solutions to store, manage and analyze information more efficiently. Data management storages can help address any data-related concern—from building a centralized data warehouse to reinforcing your existing system to have a high throughput and be more scalable, resilient, and secure.
Configuring and implementing an off-the-shelf cloud solution from leading vendors such as Google, AWS, Azure, IBM to enable rapid deployment of holistic data engineering tools with minimal risk and implementation effort. Cloud-based data management platforms have the lowest entry barriers of cost, complexity, time-to-value, and they eliminate the risks inherent to the on-premises data warehouse.
Migrating data systems from an on-premise server to the cloud, from one enterprise system to another, and from various platforms, and analytic tools to optimize data storage and processing efficiency. Data migration solutions can transform every source into an enriched, relational data structure that allows your business to navigate big data better and make well-grounded decisions quicker.
Comprising a robust data catalog and ingesting descriptive information from various sources, presenting it as a consistent, reliable source. Master data management services can help eliminate duplicity, inconsistency, and make data much easier to find and process, increasing the information’s value and re-distributing the data to different systems.
Building a full-fledged, distributed data fabric architecture that enables flexible, resilient data integration across platforms and business users, as well as a broad range of analytical, operational and governance use cases.
Data fabric architecture automates data discovery, management and facilitates self-service consumption, empowering businesses with maximized value chain by leveraging data.
By bringing our in-depth data engineering competence we take care of all aspects of the data processing lifecycle—from the requirements stage all the way to launch and maintenance to a market-ready big data management solution.
We assemble a turn-key team that seamlessly increases your in-house capabilities, accelerates development, and decreases time-to-value of data management solutions.
Our data engineering experts can validate the state of your big data management practice, refine existing data strategies, and define a roadmap to optimize information processing, increase efficiency, and establish a sustainable foundation for intelligent data handling and analytics.
We bring profound knowledge, technical know-how of our data management consultants to help you identify the most suitable approach, tools, and technologies tailored for your specific business needs.
We are proud to partner with leading global organizations who provide cloud infrastructure for big data management. This motivates us to excel and offer our clients better data engineering services.
Identifying your key goals and dive deep into business processes, data workflow, deliverables to draft the best solution, and outline the scope of work.
Examining available and required data formats, auditing data sources, gathering structured and unstructured data from multiple sources to address identified goals, design APIs for data exchange and secure its processing.
Cleaning, transforming, and evaluating data quality to remove inaccurate records for further analysis. Composing the data management system architecture with best-fitted technology solutions.
Building data storage based on the amount, types of data, and business goals and needs. Our data engineers make sure that your storage is secure and easily accessible only for authorized systems and users.
Developing and smoothly implementing a data management solution into your business environment, assuring its performance and accuracy threshold on the real data.
Establishing regular assessment of the data system’s performance, precision, throughput, and efficiency. Making adjustments if necessary.
We really care about project success. At the end of the day, happy clients watching how their application is making the end user’s experience and life better are the things that matter.
The solution provides collected, filtered and processed data for receiving useful insights for hospitals to analyze their performance.
Data-driven SaaS solution in the Google Cloud Platform (GCP) provides car dealerships with deep insights into the customer journey.
Management platform helps hospitals and insurance companies analyze and predict the likelihood of treatments compared within the industry.
Sophisticated data system with Airflow pipelines to handle the curated content upload and provide insights.
Multi-tenant SaaS platform that provides clients with a convenient tool for health data analysis.
SaaS BI platform for efficient data management and healthcare insights through advanced reporting tools and visualization functionality.
See more success stories
More than half of our clients recommend NIX to colleagues and friends. Another half chose NIX by a recommendation. This is why client feedback and satisfaction are our #1 priorities.
Account Manager at TransGrade, CRM
“Extremely detailed, professional, attentive”
COO at SafeRide Technologies Ltd
“The team is experienced and professional”
VP R&D at HumanEyes
“You have done the work perfectly”
SVP of Engineering at Cengage
“Delivering high-quality code”
Project Manager at Information Products AG
“Quality of delivered work is outstanding”
Companies that trust us
Big data analytics in finance and banking can help assess and manage risk faster and more effectively. Properly implemented big data management solutions can effectively process big data for fraud detection, accelerate liquidity analysis and open up access to predictive analytics capabilities. Big data services and consulting enable financial and banking organizations to leverage the power of unstructured and big data, predict financial trends, and identify competitive advantages through deep customization and customization. We are located in the US and can help you develop for efficient big data management and lay the foundation for future analytics.
Big data management and consulting in healthcare can save lives by predicting high-risk patients faster, predicting treatment outcomes, generating real-time alerts, and reducing medical errors. Big data management consulting enable healthcare services to gain actionable insights into patient data, reduce overall healthcare costs, enable efficient electronic health record management, and serve as the basis for predictive analytics. Real-time processing of medical data allows for a better understanding of patients and more personalized patient care, thereby improving overall outcomes. Robust big data management and data lake engineering services keep PHI accessible and secure for authorized personnel, reducing the leakage of sensitive data.
According to NewVantage Venture Partners Survey, 56.5% of companies report that big data initiatives help to drive business innovation and accelerate their decision-making. It’s a a bright spot against a backdrop of slow progress and considerable room for improvement. The application of big data to business initiatives is transforming the way we do business and laying the groundwork for future analytics. NIX is located in the USA and provides big data management and consulting services to help you get started with data initiatives and accelerate your data processes.
Adoption and implementation of big data solutions can be tricky, especially if you don’t have enough in-house expertise or you want to focus on higher-value business activities while delegating this task to professionals. At NIХ, we provide big data consulting services to help you identify the most suitable approach, tools, and technologies tailored for your specific business needs.
Applied AI & Data Science Solutions Consultant
Eugene is a data engineering solutions expert and big data management consultant with more than 10 years of experience in business consulting for top-tier international technology companies.
Big Data & Data Science Practice Leader
Max is our senior practice leader and evangelist for the “big triad” of machine learning, data analytics and data engineering, with a vast background in AI, BI services, and product management.
Our representative gets in touch with you within 24 hours.
We delve into your business needs and our expert team drafts the optimal solution for your project.
You receive a proposal with estimated effort, project timeline and recommended team structure.
Companies that implement and already use big data solutions often face problems such as a lack of qualified personnel, poor data quality, excessive costs, etc. We bring to your attention a list of 12 such problems and their solutions.
A proper, intelligent approach to data analytics can take your business a long way through gaining efficient insights into internal operations, external marketing efforts, and traits of your customers that can help drive business. Data mining techniques we discuss in the article are tried-and-tested methods to help you dig deeper and efficiently gain more valuable BI.
Big data is shaping the modern industry of eCommerce more than you may think. This is why it’s important to know the major benefits and trends related to technology. Learn about that more in the article.
Data management strategy will help your business reach a new level. Learn about the process of data management and how to implement it in your business.
The amount of data worldwide is continuing to grow exponentially. Companies that want to thrive need to have access to a data science team so that they gain the most value from the data.
ETL process in a data warehouse transforms data in one consistent system offering deep historical context for business and enabling critical, data-driven decision-making.
Big Data in Education can significantly enhance teaching and learning, emerging in a more progressive experience for disciples and their teachers.
ETL developers play a key role in business helping create processes and tools to move data from different systems so that it can be analyzed by the business.
See more insights
Schedule Meeting
