Everyone talks about data, but having a company-wide validated competency differs. Today, NordHero is proud to announce that we have achieved the AWS Data & Analytics Services Competence as the first company in Northern Europe to have less than 600 employees.
AWS and their independent auditor partner officially validated NordHero’s vast expertise and devotion to data and analytics. NordHero was awarded the AWS Data & Analytics Services Competence, a recognition that only a few companies have achieved.
NordHero is an AWS Data & Analytics Services Competency Partner
NordHero stands out with superpowers in data and analytics
Yes, there are different kinds of awards and recognitions. But what makes this achievement so unique?
Successful data solution delivery requires technical capabilities on various AWS services, skilled professionals validated with AWS Certificates, methodology, and best practices from requirements gathering to production monitoring and knowledge sharing. That is what the AWS Data & Analytics Services Competence stands for.
NordHero’s CEO Pekka Malmirae, where does this take you?
— Combining all eight Nordic and Baltic countries, only four AWS Partners have achieved this recognition in history. NordHero is the only one with less than 600 employees. If you need an easy-going partner to help with your data and want to ensure you have the validated data expertise in the delivery team, NordHero is your choice. This is a game-changer for us here in Northern Europe.
If you need an easy-going partner to help with your data and want to ensure you have the validated data expertise in the delivery team, NordHero is your choice.
NordHero has extensive expertise in data and analytics. We have helped our customers with various data-related use cases, such as:
- Data Lakes & Data Warehouses - Technologies like Glue, S3, Lake Formation, Athena, Redshift
- Real-time Streaming Data & Analytics - Technologies like Kinesis Streams, Kinesis Firehose, Managed Service for Apache Flink
- Big-Data Processing - Technologies like AWS Batch with highly parallelized containerized data analytics
- IoT Solutions - Technologies like IoT Core, IoT SiteWise, IoT Greengrass
- Machine Learning and Generative AI - Technologies like Bedrock with various LLM models and Vector & Graph databases such as OpenSearch and Neptune
- Timestream data processing - Technologies like Timestream
- Data Visualization - Technologies like QuickSight, OpenSearch/Kibana, Grafana, PowerBI integrations to Data Lake
Our customers' passion for innovation and our devotion to delivering excellence led us here
What was required to validate the competency? NordHero’s AWS Alliance Lead Teemu Niiranen, points out the key factors:
— First, we’ve been very fortunate to have such innovative customers. Our customers analyze billions of heartbeats, act on real-time brain wave data, and build GenAI-based customer service solutions. What you can build with modern cloud services is amazing if you have the data, innovation, and passion Teemu starts.
What you can build with modern cloud services is amazing if you have the data, innovation, and passion.
— Teemu continues that there are several requirements to achieve AWS Data & Analytics Services Competency. AWS evaluates partners through a rigorous audit process to validate their capabilities before granting the Data & Analytics Services Competency. Here are some essential requirements the Partner needs to demonstrate their expertise in:
- Technical Capabilities: Partners must have proven experience and expertise in designing, deploying, and operating data analytics solutions on AWS. Partners must be proficient with services like Amazon Athena, Amazon EMR, AWS Glue, Amazon Kinesis, Amazon QuickSight, and AWS Lake Formation.
- Customer Success: Partners must have a track record of successfully delivering data analytics projects for customers, with evidence of satisfied customer testimonials or case studies.
- Certified Professionals: Partners must have a certain number of AWS Certified professionals on staff, including individuals with AWS data-related certification, demonstrating their team’s technical proficiency in data analytics on AWS.
- Reference Architectures: Partners should have well-architected reference deployments that showcase their ability to implement secure, high-performing, resilient, and efficient data analytics solutions on AWS.
- Methodology and Best Practices: Partners must follow AWS best practices for data analytics, including established data ingestion, processing, storage, analysis, and visualization methodologies.
- Security and Compliance: Partners should have expertise in implementing secure data analytics solutions that meet relevant compliance standards, such as HIPAA, PCI-DSS, or GDPR.
- Business and Technical Resources: Partners must have dedicated business and technical resources focused on delivering data analytics solutions on AWS.
Ensure your success with AWS data and analytics development
Now it’s your turn! We are currently working on data assignments in various countries throughout Northern Europe, and we can also help you succeed with the data. If you need a team that has the required expertise and validated ability to deliver high-quality data and analytics solutions on AWS, book a meeting with us to discuss more!