Digital transformation is our DNA
Services
Jeliv’s mission is to “assist costumers unlock their business insights through big data and analytics”. In an era where terabytes of data is being generated daily, every organization depends on its data as well as public data to make strategic business advancements. Jeliv helps organizations setup their end-to-end data and analytics platforms by designing and deploying cloud infrastructure, building data lakes & pipelines, constructing machine learning and deep learning models as well as creating dashboards for visualization. Jeliv assists its clients unlock their data and analytic potentials in several areas including the following key domains:
Cloud Computing
Cloud computing is the on-demand delivery of IT infrastructure over the Internet with pay-as-you-go pricing. Instead of buying, owning, and maintaining physical data centers and servers, companies can access IT services such as computing power, storage, and databases as deemed necessary from a cloud providers like AWS, Azure, GCP. With the rapid migration from on-premise to cloud, Jeliv guides its clients make the right choices on fit-for-purpose basis, in their cloud journeys. Jeliv also assist its clients architect, deploy, manage and maintain their cloud infrastructure.
Data Engineering
Traditional data warehouses often hold ONLY structured data. Nevertheless, with increasing amount of unstructured and semi-structured data generated at high volume and velocity, traditional data warehouses fall short. Every modern enterprise now requires a data lake to capture its enterprise data. Jeliv’s data engineers create enterprise data lakes. They design and build data pipelines to extract data from diverse sources into the data lake, transform them into a uniform format then load to the data warehouse ( if necessary) for consumption by data scientists or other end users in a highly usable state. The data lake or warehouse thus represents the data uniformly as a single source of truth for the organization, there by curbing the problem of data silos.
Machine Learning & AI
Companies collect terabytes of data nowadays but most of the times, this data is neglected or underutilized. This data, through meaningful information extraction and discovery of actionable insights, can be used to make critical business decisions and drive significant business change. It can also be used to optimize customer success and subsequent acquisition, retention, and growth. To get these insights, the services of a data scientist are often required. From forecasting, to segmentation or anomaly detection, data scientists need extra skills to put an ML model to production. Even though a data scientist can have a major positive impact on a business’ success, sometimes inadvertently cause financial loss, which is one of the many reasons why hiring a top-notch data scientist is critical. Given the limited number of top-notch data scientists and the cost associated to hiring one, Jeliv bridges the gap by providing affordable quality data science services to its customers and help them discover actionable insights from their data.
Business Analytics
Business analytics helps identify and anticipate trends and outcomes, and ultimately make smarter, data-driven business decisions. To determine trends and outcomes in real-time, requires efficient representation of information derived from data. Jeliv helps its customers identify KPIs and produce dashboards that portray key insights as per the identified KPIs.