In today’s world where everyone and everything (i.e., IoT) is tracked digitally, there is a massive influx of data coming from different sources. With our expertise in Cortana Intelligence, Microsoft SQL Server 2016, Microsoft R, Power BI and a range of OpenSource technologies such as Hadoop and Spark, we are a boutique advanced analytics firm that provides services to help businesses make data-driven business decisions, improve customer engagement and increase revenue.
SNP Technologies’ team of innovative scientists and engineers, use a combination of deep domain knowledge and technical expertise, including data science, analytics and software engineering to give our customers a cohesive set of solutions for capturing, processing and analyzing data. Plus, we provide clients with live dashboards and real-time, interactive reports, providing them with access to their data anywhere and anytime.
In many cases, companies don’t realize all the structured and unstructured data sets they have, let alone how these data sets relate to each other. With our deep engagement process, our project managers help create a prioritized roadmap of short, medium and long-term projects by collecting all relevant information. We also help customers define their business objectives, understand their data challenges and align their business goals, enabling them to deliver measurable objectives.
Data analysis is not black and white. To mine data and discover patterns and relationships, we use tools like Cortana Intelligence, Microsoft SQL Server 2016, Microsoft R, Power BI and a range of OpenSource technologies such as Hadoop and Spark to acquire and assess data quality and apply predictive analytics to yield the insights companies seek.
Companies that want to use data analytics to drive key operational decisions must consider how to automate and optimize these solutions and business processes. SNP Technologies helps with these initiatives by providing recommendations, reports, briefings, technical documents, running pilot tests, implementing models in production environments, and integrating analytical scores into management dashboards and operational systems.
Develops the project plan, works with the client’s point of contact and ensures the delivery budget and timeline.
PROJECT MANAGER
Benchmarks systems, analyses system bottlenecks and proposes solutions to eliminate them.
DATA SOLUTIONS ARCHITECT
Builds the right Azure Architecture, and ensures that the software and architecture are in synchronization.
CLOUD SOLUTIONS ARCHITECT
Analyzes data from multiple sources and develops a picture of where the company stands in the industry, where they can improve and where they can reduce costs. Implements machine learning models and creates Azure machine learning API for predictive analysis.
BUSINESS INTELLIGENCE ANALYST
Supports the Business Intelligence Analyst in transforming data into a more usable format; applies data-driven techniques including machine learning, deep learning, text analytics to solve problems; uses statistical modeling to understand patterns, trends and order; and develops deep insight into data.
DATA SCIENTIST
Develops the deployable solution and participates in quality assurance work required to ensure the right delivery of products.
CLOUD DEVELOPER
