Microsoft's Business Intelligence tool and the Azure cloud platform are rapidly evolving. These technologies create the foundation for everything from data collection, secure storage, reporting and visualization; for the more advanced analytics with Machine Learning, Internet of Things and Artificial Intelligence.
Based on our end-to-end Business Intelligence framework, ProActive's BI & Analytics experts will come up with specific recommendations, based on best practice, on how to build, maintain and utilize a modern and up-to-date data platform. Data-driven organizations with a Business Intelligence strategy gain business insights through the utilization of relevant data.
This enables the organization to act strategically and agile to create an overview to increase revenue, growth and productivity.
Whether you want to do quick and dirty ad hoc analyzes or want to build an Enterprise Data Warehouse in the cloud, it is necessary to handle the actual data flow. Data often undergoes a “data wrangling” process for downstream purposes such as analysis and visualizations. From source to end user, data will often be exported, transformed and eventually consumed. ProActive's BI consultants have many years of practical experience across industries in implementing ETL processes from various source systems to an EDW. These conformed dimensions create the foundation for a common truth for the organization's key figures when, for example, you need to make reliable data visualizations, analytics, reports and great dashboards.
Many organizations today are exploring opportunities with data through AI projects and getting from PoC to proven and operationalized solutions that add value to the business. ProActive advises and executes throughout the process of everything from assessments and consolidation of existing architecture to the construction and planning of new, future-proof solutions.
No matter where you are in the process, ProActive's experts will support the process from A to Z and ensure that you successfully reach your AI and data platform projects.
Among other things, we work with the following areas and technologies:
Business Intelligence & Advanced Analytics
Machine Learning, Internet of Things and Cognitive Services: