N-iX provides a full range of data warehousing services, including data warehouse research,
discovery, implementation, and support to help you get the maximum value from your data.
We have over 200 data experts onboard and over 30 data projects in our portfolio.
Our team will help you create an effective data warehouse strategy, choose the best data warehouse model, and build a prototype.
We offer an entire cycle of DWH development: from integration of data sources to full automation of data processes.
Our experts will migrate your DWH to the cloud, scale it up, and help you optimize performance and costs.
We will implement small adjustments, make changes that are covered by SLA, and provide an overall support of your DWH.
Our data warehouse consultancy specialists will assist you in every step of your data transformation journey.
A well-designed and integrated DWH ensures governed and secure access to data across your organization.
A carefully chosen DWH platform allows you to save up to 60% of efforts in deployment, administration, and support.
Data warehouse consulting includes an ongoing optimization of your infrastructure and cloud spending.
Improve the overall visibility of the processes and take business decisions based on clean and accurate data.
N-iX offers 360 data warehouse consulting services. Typically, data warehouse consulting has four phases:
During this phase we will explore an existing ecosystem including:
We offer a Discovery Phase as a service to help you validate your idea, choose a tech stack, estimate ROI, and build a feasible prototype.
Based on your needs and chosen tech stack, our experts will build a robust data warehouse. Some of the steps will include:
We will help you build a dedicated team for ongoing support of the data warehouse. Overall, the support will cover:
N-iX is a certified AWS Advanced Consulting Partner, a Microsoft gold certified partner, a Google Cloud Platform Partner, an Opentext Services silver partner, and a SAP partner.
Compliance with international regulations, including ISO 27001:2013, PCI DSS, ISO 9001:2015, GDPR, and HIPAA, so your data will always be safe.
N-iX experts have solid expertise in Cloud native and agnostic development, Big Data engineering, Data Analytics, Data Science, ML&AI, BI, DevOps, and Security.
Successful partnerships with Lebara, Gogo, Vable, Orbus Software, and many other leading companies to help them leverage the benefits of the cloud and data analytics.
Gogo is a leading provider of in-flight connectivity and entertainment with over 20 years of experience. The company’s superior technologies, best-in-class service, and global reach help planes fly smarter, airline partners perform better, and their passengers travel happier.
The company needed a qualified engineering team to undertake a complete transition of Gogo solutions to the cloud, as well as build a unified data platform, improve existing reports, and introduce new solutions in order to provide the best speed of the in-flight Internet.
Our team has built the data warehouse system for storing and processing significant amounts of data. It helps the client to receive timely reports and provides the ground for operational processes. N-iX experts have also created an AWS-based data platform and built a data lake for collecting data from more than 20 different sources in one place. The data lake also has a separate layer that provides information for the company's data warehouse, improving the reporting process (while some business applications can connect directly to the data lake to extract information).
Lebara is one of Europe’s fastest-growing mobile virtual network operators (MVNO) with millions of active customers, employing over 62 nationalities worldwide in six countries.
At the first stage of our cooperation, Lebara had a legacy data warehouse and requested to rebuild it as it was not maintainable. The product was not renewed for a long time and had price-performance issues. For instance, the delay in monthly reports was 1-2 months. In time, the client decided to replace the classic data warehouse and change the tech stack to reduce the price, increase maintainability, and change the functionality.
The N-iX team contributed to the development of a data warehouse for Lebara: we rebuilt the system architecture, data flows, and provided constant support. The data warehouse was built on-premises (MS SQL Server, SQL Server Integration Services, Microsoft Analysis Services, SQL Server Reporting Services). We used Tableau for data visualization. The data warehouse accepts the data from CRM, various accounting systems, and sim card information. To reduce the information processing delays, we created the process dependency tree and an orchestrating instrument, which was monitoring tasks and started new processes according to server load.
Our client is one of the leading managed service providers. They help businesses reduce management complexity and strain on IT resources with white-glove, personalized customer hosting solutions.
Information Technology & Services
USA
Nov 2020 - present
9 people
All of the company’s siloed data was managed on-premises that caused issues with data governance, storage, accessibility, scalability, and more. The client engaged the N-iX team to develop a unified data warehouse on GCP, data warehouse migration, and automation of various internal processes.
Our experts have helped the client consolidate 74 operational data sources and migrate 4 data warehouses and 1 data lake to Google Cloud. We built a unified data warehouse in GCP, allowing the client to elevate data management across the business. It allows our client to:
Also, our test engineers are responsible for data quality in the data warehouse.
The client is an American industrial supply company. It offers over 1.6M quality in-stock products in such categories as safety, material handling, and metalworking. The company provides inventory management and technical support to more than 3M customers in North America.
Business Supplies & Equipment
USA
Feb 2019 - present
35+ people
The client needed to upgrade an existing on-premise data solution and move it to the cloud for better scalability, reliability, and cost reduction. We have helped to migrate from the on-premise Hadoop Hortonworks cluster to AWS and build a unified big data analytics platform on AWS with the help of Snowflake, Airflow, Terraform, Teradata, Tableau.
We integrated more than 100 different data sources into a unified data platform, including daily data loads, along with a backfill of historical data. We compared Amazon Redshift with Snowflake and preferred Snowflake as it meets all the project requirements and provides multiple benefits. It allows the client to avoid vendor lock-in (Snowflake is a cloud-agnostic shared-data solution that is compatible with any cloud provider), achieve seamless scaling capability, have more automated maintenance than Redshift, reduce the costs, and improve performance.
