Pivotal BI provide consultancy services for Data Analytics and Business Intelligence. Our Data Analytics Consultants understand the technology, processes and pitfalls that come with data projects. We believe in offering value for money in all we deliver. No padding, bulking out of teams or simply overstating the problem, we consider ourselves different from what you may have experienced with other operations.
At Pivotal BI we partner with cloud data analytics providers and pride ourselves on our level of understanding of all aspects of the data services consulting work we do. After all, it is this understanding that helps ensure success. Here’s a little more about what we bring to the table:
Microsoft Certified Azure Solutions Architects are experts in designing cloud and hybrid solutions that run on Microsoft Azure, including compute, network, storage, monitoring, and security, having gained advanced experience and knowledge across a broad range of IT operations.
Databricks Certified Developers specialise in the architecture and implementation of data engineering using this unified analytical platform. With all areas covered from Streaming to Batch, Graph DBs to Machine Learning, this is a powerful offering for modern data processing.
The Microsoft Professional Program in Big Data provides a deep level of understanding of batch and real-time data processing platforms. This includes using Azure managed data services and open source systems such as Hadoop and Spark.
Microsoft Certified Azure Data Engineers possess the skills and knowledge to design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs.
Certified Scrum Masters are Scrum Alliance approved Agile specialists who understand the processes, benefits and pitfalls involved with Agile development. At Pivotal BI our understanding of Agile on data services projects ensures a streamlined delivery.
The Microsoft Professional Program in Data Science encompasses all areas of Data Science, including Machine Learning principles, Mathematics, Programming and Ethics. This provides an in-depth understanding of the subject and the benefits of its application to Business data.