Success Stories
Our clients number among the best and brightest in global business. Browse through the success stories to find out why we have such die-hard fans.
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Our clients number among the best and brightest in global business. Browse through the success stories to find out why we have such die-hard fans.
Origin data is now accessible to functional teams across the organization consolidating all workloads and databases into one powerful engine.
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Vocus Communications new analytics environment took just 3 months to build – reducing data deployment time by 75%!
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BryteFlow's data solution powers ANZ's high performance Market Analysis and Predictive Analytics engine at mach speed.
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Global Sports brand Under Armour works with Bryte to increase revenue and delight customers with personalized marketing campaigns.
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BryteFlow enables Horizon Power to achieve real-time ETL of enterprise data including IoT data on Amazon S3.
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We built a data lake for Bingo Industries using BryteFlow that has enabled fast and accurate reporting and analytics of their operations.
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We used BryteFlow software to built a data lake that maps the journey of a student from sign-up to course completion. The data insights served to pinpoint signs of student disengagement.
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Using BryteFlow's point-and-click interface, nib Health Funds was able to sync SQL Server to AWS Kinesis stream. Third party tagging software was able to match the telephony stream to clickstreams.
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Bryte worked with the team at Optus to deliver a near real time centralised customer data repository in under 3 months. Bryte’s solution identified over 10 million dollars in missed revenue opportunities.
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Waterford Research Institute needed to replace legacy reporting and dashboards with visualizations that were more consumable by administrators, school principals, teachers and parents.
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Abacus wanted to improve business intelligence and analytics capabilities to understand travel patterns and customer buying behaviour in near real time using a multitude of data sources.
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Ticketek engaged Bryte to build a modern, highly scalable and Big Data grade analytics environment that could deliver real time insights & enable Dynamic Pricing.
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