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6D Technologies demystifies data and analytics with MySQL HeatWave on AWS

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Subscribers today use multiple devices to stream videos, share images, and chat. To keep pace with this, telco operators are repositioning themselves from service enablers to digital value creators. The transition from 4G to 5G networks is connecting more devices and significantly increasing the volume of data the operators must manage to unearth intelligent and actionable insights that maximizes revenue and efficiency.

In this dynamic environment, a company called 6D Technologies aims to help operators become digital services providers by focusing on the interplay of next-generation technologies such as AI and machine learning. The company enables operators to manage multichannel marketing campaigns by collecting huge datasets to provide insights into customer behavior and the key value drivers of acquisition, retention, and expansion. 6D Technologies’ Magik optimizes AI and machine learning-based techniques to predict likely customer behavior, churn propensity, and recommend the next-best offer through personalized engagement via preferred channels.
The company’s Magik analytical offering, built first on AWS RDS and then AWS Aurora, was not functioning optimally. It needed to segment customers for the decision engine to calculate the personalized next-best offer recommendations in real time.

“MySQL HeatWave on AWS has 139X faster complex queries in comparison to AWS RDS and Aurora. This provides a significant opportunity to simplify the existing data infrastructure for both OLTP and OLAP, along with sub-second response time, to deliver an optimal experience,” says Anish Kumar, Associate Vice President, 6D Technologies. Oracle MySQL HeatWave consolidates both OLTP and OLAP in one MySQL Database, thereby delivering real-time analytics.

6D Technologies opted for Oracle MySQL HeatWave on AWS for a fully managed database service. This combines transaction processing with an in-memory query accelerator for a high-performance analytics engine. In addition, it eliminates the need for a separate analytics database and extract, transform, and load (ETL) processes. Also, the web console is easy to use and provides visibility into workload performance metrics and interactive reporting.
MySQL HeatWave addresses 6D Technologies’ roadmap for microservices and cloud native products and ensures an optimal customer experience.

“6D technologies, with customers across many countries and a revolutionizing business model, is an organisation that is propelling innovation. We are excited to be a part of their journey as they leverage Oracle MySQL HeatWave on AWS to further enhance their offerings using our fully managed database service. With Heatwave, 6D will achieve unparalleled benefits by removing the need for a separate analytics database. Having an easy-to-use web console will improve the overall performance and further simplify some of the processes. The staff is now able to focus on strategic activities like data modelling and analytics with the use of the web console monitor. We are helping ensure that their business model is actively supported by MySQL HeatWave and their offerings are optimized. We hope that a similar model can be leveraged by many customers, “says Sanjay Manwani – MySQL India Sr. Director.

The real-time analytics from MySQL HeatWave helps 6D Technologies’ customers take advantage of new-age marketing by exploring which next-best offer is most suitable.

Results
MySQL HeatWave on AWS has 139X faster complex queries compared to AWS RDS and Aurora, providing a significant opportunity to simplify the existing data infrastructure for both OLTP and OLAP, along with sub-second response time. 6D Technologies’ staff experienced higher levels of productivity via the MySQL HeatWave Database Service’s distributed query processing feature. This ensures scaling when data automatically increases by reducing indexing and other database maintenance activities. Additionally, the web console monitors performance for increased visibility, which allows staff to spend time more strategically on data modeling and analytics to better serve customers.

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