New Business Analytics

Transform your business with Power BI

Discover greater insight. Experience business analytics like never before with Power BI's intuitive design and robust analytical capabilities. In minutes, uncover valuable business insights while leveraging your existing investment in Office 365, SQL Server and Azure to produce optimal business intelligence throughout the enterprise. 

Propel your business with Power BI, Microsoft's industry-leading, self-service business intelligence tool. Learn how Power BI is transforming organizations around the globe. 

Empower your users with access to real-time data and the ability to slice through their data and drill into key insight with Power BI.  

Microsoft Gold Partner gives us the experience and confidence to transform your data into a workhorse of insights. We are your trusted Power BI Partner, able to give your strategic guidance along your journey.

 

Work with these valuable Data professionals

Data Architect

A Data Architect (DA) drives customer initiatives leveraging Azure data and analytics services (e.g., ranging from SQL Server to SQL Database and SQL Data Warehouse to Cortana Intelligence Suite) to solve the biggest and most complex data challenges faced by enterprise customers. The DA is a technical, customer facing role, accountable for the end-to-end customer deployment and usage experience for Azure data services. DAs own the Azure technical customer engagement including: architectural design sessions, implementation projects and/or proofs of concept and pilots. The Data Architect is proficient in distributed computing principles and familiar with key architectures including Lambda and Kappa architectures, and has a broad experience designing solutions using a broad set of data stores (e.g., HDFS, Azure Data Lake Store, Azure Blob Storage, Azure SQL Data Warehouse, Apache HBase, Azure DocumentDB), messaging systems (e.g., Apache Kafka, Azure Event Hubs, Azure IoT Hub) and data processing engines (e.g., Apache Hadoop, Apache Spark, Azure Data Lake Analytics, Apache Storm, Azure HDInsight). The ideal candidate will have experience in customer facing roles and success leading deep technical architecture and design discussions with senior executives. Five plus years of experience with deep understanding of databases and analytics, including relational databases, data warehousing, big data, business intelligence and analytics. Five plus years of success in consultative/complex technical sales and deployment projects. Technical BS degree in Computer Science or Math background desirable. 

Data Scientist

A Data Scientist is responsible for identifying the insight opportunities present in the customer’s data, and helping shape the data pipeline that deliver the insights by applying advanced analytics (e.g., machine learning) in collaboration with the customer. The Data Scientist is a technical, customer facing role, who along with the Big Data Engineer is accountable for the end-to-end data pipeline envisioning and development that starts with addressing issues of data acquisition and data sampling, data exploration and data quality assessment, data wrangling to massage the data so it is better suited to applying advanced analytics, and visualizing or reporting on such data to make the insights available to the customer’s business. The ideal candidate will have experience in customer facing roles and has a crossdisciplinary background consisting of statistics and software development. A technical BS degree in Computer Science or Math background is highly desirable. Three or more years customer facing experience desired. 

Big Data Engineer

A Big Data Engineer is responsible for helping to select and implement the tools and processes required of a data processing pipeline in support of the customer requirements. The Big Data Engineer may be a customer facing role, but the primary responsibilities include implementing ETL (extract, transform and load) pipelines, monitoring/maintaining data pipeline performance. The Big Data Engineer in proficient in distributed computing principles and familiar with key architectures including Lambda and Kappa architectures, and has a broad experience across a set of data stores (e.g., HDFS, Azure Data Lake Store, Azure Blob Storage, Azure SQL Data Warehouse, Apache HBase, Azure DocumentDB), messaging systems (e.g., Apache Kafka, Azure Event Hubs, Azure IoT Hub) and data processing engines (e.g., Apache Hadoop, Apache Spark, Azure Data Lake Analytics, Apache Storm, Azure HDInsight). The ideal candidate has three or more years experience working on solutions that collect, process, store and analyze huge volume of data, fast moving data or data that has significant schema variability. 

Cloud Architect

A Cloud Architect (CA) drives high-priority customer initiatives in collaboration with customers and the your sales team. The CA is a technical, customer-facing role that is accountable for the end-to-end customer cloud deployment experience. CAs own the Azure technical customer engagement, including: architectural design sessions, specific implementation projects and/or proofs of concepts. The ideal candidate will have experience in customer-facing roles and success leading deep technical architecture and application design discussions with senior customer executives to drive cloud deployment. Bachelor’s degree in computer science or related field preferred.  

 

Real-Time Business Analytics

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Capabilities

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By the Numbers

5.6 Million

Downloads of SQL Server 2017

4.5 Million

SQL Databases (Fastest growing hybrid data service)

7 Million

Queries per hour on Power BI

100 Trillion

Transactions per day on Azure Cosmos DB