Our services
Assisting our clients make data-driven decisions is our priority.
Making data-driven decisions and not gut feeling decisions is key to success for every modern enterprise. Data-driven decisions can only be made by unlocking insights within the huge amount of data currently generated by most enterprises. Unlocking business insights within big data, requires four core domains: computing resources, data lakes, Machine learning & AI and Business analytics. This is the reason at Jeliv, we have made these core domains our DNA.
Our teams
Our teams consist of seasoned consultants and freelancers
Jeliv’s team members are experts in their respective domains. Apart from being certified in their respective fields, they hold academic masters and doctoral degrees with several years of industry experience.
Cloud Engineers
Our DevOps team consists of consultants and freelancers with experience in AWS and AZURE.
With our DevOps engineers, your journey to the cloud is fast, secured and guaranteed. Deploying infrastructure as code (IaC) using Hashicorp Terraform, is the norm for all our DevOps engineers.
Data Engineers
From your ERP systems to your web logs or IoT devices, our data engineers consolidate your enterprise data in a data lake as one source of truth.
With massive experience in software engineering, AWS, AZURE and Open Source big data technologies, our data engineers lead in the design, implementation, testing and validation of your data lakes, data pipelines and data warehouses.
Data Scientists
With master and doctoral degrees in actuarial science, statistics, machine learning and AI; and several domains knowledge, our data scientists quickly identify your pain points and formulate both functional and technical hypotheses.
They then work hand in hand with the data engineers to build and deploy a state-of-the-arts solutions for the identified pain points.
BI Analysts
Our business intelligence analysts are experts in Power BI and Tableau. They are great team players working closely with clients to understand their business needs and define KPIs. Once the KPIs are known, they work close collaboration with the data engineers and data scientists in creating dashboards meeting these predefined KPIs.