Data Science & Machine Learning

Our focus is enabling businesses and organizations to implement data science programs and extract value from their data without needing to invest significant capital and time in technologies to enable data-driven decision making.

We deploy the right infrastructure and implement the proper processes so you can answer the most critical questions with data. Our Data Science as a Service (DSaaS) solution lets your business do data science even without a team or technologies to do so. To learn more about our DSaaS solution book a session with our team to walk you through how it works.

Data Infrastructure

Our team is experienced in deploying turnkey data infrastructure to enable an analytics practice in a matter of days rather than months. We have experience building out complex multi-region, distributed data applications at scale. Some examples of infrastructure we are able to provide and manage for your data:

• Enterprise data warehouse (EDW) using Amazon Redshift and Apache Hive
• Real-time transactional (OLTP) and analytics (OLAP) infrastructure such as Amazon Kinesis, Apache Kafka and Druid
• Big data frameworks and tools such as Apache Hadoop, Apache Spark and Dask
• Business intellegence (BI) tooling such as Metabase, Tableu, Looker, etc.

Cloud Engineering

We help deploy the right cloud infrastructure with the right conventions and practices to maximize the value at a proper cost for your operations.

• Reproducable deployments via Infrastructure as Code (IaC)
• Support for AWS, Azure and Google Cloud (or any other provider including bare metal provisioning)
• Proper resource tagging
• System monitoring and alerting
• Implementing FinOps practice for cost controls and optimizations

Systems Integrations

We help get your business operations right with the right software to handle all your data needs. Wether external software as a service (SaaS) or internal legacy codebases we can get things working and delivering value for your business. We’ve done numerous and complex multi-point implementations to get systems and teams working together. Some

• API implementations & integrations
• Automated billing systems (Payment Processing, Invoicing, Accounts Payable/Account Receivables, Claims managements)
• ERP, CRM, WMS implementations with software such Oracle Netsuite, SAP HANA, Odoo and Tryton

Automation & Digitalization

To capture good and high quality data we help revamp your business processes to collect data effectively yet in a compliant manner.

• Business process automation
• Data entry automation
• Physical document digitlization
• Data policies and governance (archival, security, storage, privacy)
• Data compliance & standards (GDPR, CCPA, HIPPA, etc.)

Data systems with Datanomia