SQL Server 2016 Launch

By Rachel Coyne on 30 Jun 2016

The official Australian launch of Microsoft SQL Server 2016 took place in Sydney on 24 June and Satalyst was fortunate to be part of the "Data Driven" event. With the 2016 Olympics underpinning the data in sports theme for the launch event, Satalyst showcased two cycling related solutions both using SQL in Azure, IoT, and advanced data analytics.

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Gold Microsoft Partner for Cloud Platform

By Rachel Coyne on 17 Dec 2015

Satalyst has been a strong performing Microsoft partner for over six years and now proudly announces it is a Gold Microsoft Partner for Cloud Platform. The achievement of Gold Competency status for Cloud Platform complements its Gold Data Analytics and Silver Cloud Productivity Competencies.

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Discovering the Business value in Business Intelligence

By Satalyst Brilliance on 23 Dec 2014

In my previous life as a provider of Analytics, Reporting and Data management I experienced first-hand the sudden surge in demand for historical, current and predictive views of business operations. I also experienced some the challenges individual teams and whole companies faced as a result of rapid business growth and through lack of co-ordination across teams. Like many companies, my previous employer lacked a strategic, cohesive approach across business units for the planning and application of Data Management, Analytics and Reporting. Some of the challenges we faced as a result included duplication or the unintentional differing application of ETL processes. For the team, this meant database refresh times were taking longer than necessary to complete. The refresh occurred every 2days, involved two ETL processes and required hundreds of transformations – typically taking up to 12 hours to complete in total without any time accounted for error handling. This meant we were only able to start querying the database mid-morning the following day and left us unable to run any scripts overnight whilst the refresh was happening. Different ETL processes also resulted in slightly different resultsets, although not a regular problem, altogether this directly impacted our ability to leverage BI in…

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