Business Intelligence & Analytics: We can assist you in greatly enhancing the functionality and efficacy of your BI (Business Intelligence) reports. You will notice a better user experience and provide business users more control whether this is lowering IT support costs or developing interactive reports with deeper competitive insights, meaningful dashboards, and scorecards.
Enterprise Data Warehousing: With the help of our enterprise data warehousing service, your firm can access data for aggregated views across departments and cross-business insight. With our years of expertise and knowledge, we constantly work to reduce all risks related to the adoption of new technologies.
Data Science: Our Data Science group is focused on solving problems and finding hidden patterns, in both structured and a wide variety of unstructured types of data (such as social media content, textual data, images, audio and video streaming). In addition, our group also provides distributed and significantly parallel Big Data and Stream processing solutions, as well as high-performance GPU-accelerated computing concepts.
Data Integration & Processing: When organisations implement enterprise-level information systems, the most frequent problems they run into are cross-system data integration and consolidation. We enable data consolidation from many sources, including CRM, ERP, and other corporate systems, using event processing, intensive parallel processing, and data distribution.
As we've already seen, the software engineer in charge of designing, constructing, and maintaining the pipelines that will utilise all of the gathered data for the analysis and insight creation procedures is known as the big data developer. However, data science is a complicated field to which other professionals bring their particular set of skills.
The Data Scientist, on the other hand, is in charge of looking at all the data and performing the analytical process to fully comprehend the context and derive the insight that will inform business decisions utilising the tools and programmes developed by the big data developer.