Data Engineering Data quality is critically important for extracting intelligence. Without having good quality data in place, extracting expected insights is enormously difficult or may not be possible at all. The key Data Engineering service tasks include: Implementation of ETL/ELT pipelines . The pipelines enable collecting data from different internal and external sources of client's
BI & AI Model Building Business analytics and Artificial Intelligence models can be heavily complex depending on business goals and nature of data. Intelligencia assists organizations in building enterprise-grade model for business analytics or AI agents depending on the type of the solution the client is seeking for. The key service tasks include: Study business
Building High-performance Data Analytics & AI Ecosystem Many companies tend to build, manage, and maintain Data Analytics and AI ecosystem to have full control and total ownership. Building and managing an advanced technology ecosystem is time consuming, labor intensive complex jobs for many companies. Intelligencia offers services to the organizations for building, managing, and maintaining
Data Analytics & AI Project Management Data Analytics and AI project management needs specialized skills, in addition to classical project management skills. Intelligencia offers service to enterprise for managing Data analytics and AI projects of any scale. The key service tasks include: Interviewing business teams to understand the requirements and goals Prepare business requirement specification
Digital Transformation Digitalization can be understood, in simplified terms,as a generic term for efforts to convert information, processes, products or services into a form that can be processed or supported by information technology. Intelligencia offer consulting service to the organizations in digitalization of their operations. Our services include: Digital strategy and innovation Intelligent automation Enhance
Data Engineering Data quality is critically important for extracting intelligence. Without having good quality data in place, extracting expected insights is enormously difficult or may not be possible at all. The key Data Engineering service tasks include: Implementation of ETL/ELT pipelines . The pipelines enable collecting data from different internal and external sources of client's
BI & AI Model Building Business analytics and Artificial Intelligence models can be heavily complex depending on business goals and nature of data. Intelligencia assists organizations in building enterprise-grade model for business analytics or AI agents depending on the type of the solution the client is seeking for. The key service tasks include: Study business
Building High-performance Data Analytics & AI Ecosystem Many companies tend to build, manage, and maintain Data Analytics and AI ecosystem to have full control and total ownership. Building and managing an advanced technology ecosystem is time consuming, labor intensive complex jobs for many companies. Intelligencia offers services to the organizations for building, managing, and maintaining
Data Science and AI Training There is an enormous need for data scientists and AI experts who have outstanding skillset that are needed to interpret and analyze Big Data and create purposeful systems for different business domains. However, unfortunately, a growing skill gap exists today within the data science and data engineering fields. Hundreds of