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HomeBig DataAmazon Alexa Audio migrates enterprise intelligence to Amazon QuickSight for sooner efficiency

Amazon Alexa Audio migrates enterprise intelligence to Amazon QuickSight for sooner efficiency

The Amazon Alexa Audio Knowledge & Insights (AUDI) group strives to make enterprise intelligence (BI) accessible for engineers throughout Amazon Alexa Audio. Amazon Alexa Audio helps you keep entertained together with your favourite music, podcasts, books, and radio from suppliers equivalent to Amazon Music, Spotify, and iHeart Radio. The AUDI group manages dashboards and stories to assist Amazon Alexa Audio groups pull metrics, derive insights, and carry out deep-dive analyses. To assist the efficiency of business-critical actions, the group sought a quick, high-performing BI answer in order that it may enhance the person expertise.

The AUDI group turned to AWS and migrated its dashboards to Amazon QuickSight, a completely managed, cloud-native BI service powered by machine studying. By transferring its dashboards to QuickSight, the AUDI group lowered load occasions by an element of 25, from 2–5 minutes to solely 5–10 seconds. This has made it easier than ever for Amazon Alexa Audio to rapidly harness BI insights.

“Our customers had been blown away at how briskly Amazon QuickSight loaded our dashboards,” says Kani Singaravel, BI supervisor at Amazon Alexa Audio. “It’s fairly smooth and quite simple to make use of, which is why we find it irresistible.”

Image showing charts and graphs that illustrates how Amazon QuickSight presents data visualizations.

Delivering BI insights throughout Amazon Alexa

The AUDI group delivers nimble BI insights for the Amazon Alexa Audio group, harnessing knowledge to generate weekly, month-to-month, quarterly, and exception-based enterprise stories. To assist the wants of the customers who depend on the BI service, the AUDI group wanted a sooner, higher-performing answer. Beforehand, it might take a number of minutes to load dashboards and examine insights, and Amazon Alexa Audio groups required decrease latency to carry out their vital work.

After recognizing these challenges, the AUDI group started to discover superior BI choices on AWS.

“We selected emigrate to AWS after we acquired quite a lot of complaints about latency,” says Weijia Shou, BI engineer at Amazon Alexa Audio. “This determination additionally aligned properly with our utilization of different AWS instruments.”

In February 2022, with the purpose of rapidly accessing key insights, the group selected Amazon QuickSight as its most popular BI service and started emigrate its dashboards.

Lowering prices and latency on Amazon QuickSight

From analysis to launch, the AUDI group’s first dashboard migration took 2 months to finish. As of July 2022, it has migrated greater than 10 dashboards to Amazon QuickSight.

“The primary dashboard that we migrated was the Alexa Audio Abstract Pattern dashboard, which covers greater than 80% of the use instances in our group,” Shou says. “After that pilot migration, we noticed a fantastic enchancment on latency from our dashboard.”

The group noticed a greater than 25-times enchancment in latency, lowering dashboard loading occasions from 2–5 minutes to solely 5–10 seconds.

To realize this acceleration in efficiency, the AUDI group took benefit of the Tremendous-fast, Parallel, In-Reminiscence Calculation Engine (SPICE) in-memory knowledge retailer in Amazon QuickSight. SPICE is a purpose-built question engine that gives persistently quick efficiency and mechanically scales to satisfy excessive concurrency wants throughout peak intervals, equivalent to weekday mornings or end-of-month reporting cycles. When knowledge is imported into SPICE, it’s transformed right into a extremely optimized, proprietary format. Dashboard queries are then powered by SPICE, offering quick efficiency for dashboard customers throughout Amazon Alexa Audio and shielding the underlying knowledge supply from the depth of site visitors generated by interactive dashboard queries. SPICE knowledge could be refreshed on a schedule or by one-time API calls.

On Amazon QuickSight, the AUDI group has vastly accelerated its querying time for the BI service, which is utilized by over 300 staff. “The brand new dashboard is far sooner, so we will rapidly perceive how we’re monitoring towards our objectives and key engagement metrics,” says Blake N., Senior Product Supervisor at Amazon Alexa Worldwide. Along with enhancing velocity and efficiency, the AUDI group has additionally lowered its bills. As a result of Amazon QuickSight has a pay-as-you-go pricing construction, it’s a lot more economical than different BI instruments in the marketplace.

Accelerating data-driven decision-making on AWS

By migrating BI dashboards to Amazon QuickSight, the AUDI group has made it easier and sooner for a whole bunch of Amazon Alexa Audio engineers to entry the data that they should make essential choices of their roles. Sooner or later, the group will proceed the migration, and plans to construct new dashboards on Amazon QuickSight because it launches revolutionary new options and companies.

“Amazon QuickSight has been a essential migration for our enterprise,” says LeAnn Lorbiecki, senior supervisor at Amazon Alexa Audio. “Beforehand, the latency made our dashboards unusable and challenged our capacity to make data-driven choices rapidly on behalf of our clients, merchandise, and general enterprise. The work on this migration was an unbelievable group effort with returns seen in a short time.”

Concerning the authors

Weijia Shou is a Enterprise Intelligence Engineer II at Amazon Alexa Audio Knowledge & Insights group. She led the Alexa Audio migration of reporting dashboards to AWS QuickSight. Weijia is captivated with constructing scalable options and instruments to speed up data-driven determination making.

Kani Singaravel is a Enterprise Intelligence Supervisor at Alexa Audio, the place she enjoys working with the group to unravel buyer issues and challenges utilizing knowledge analytics.



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