Digital businesses spend millions
each day on online advertising and in product promotions. Real time alerts are
important for monitoring and optimizing the performance of online ad campaigns,
promotions and making adjustments in real time to optimize the return on spend.
In addition to alerts on
performance of online advertising, there are other specific needs for alerts
such as
- E-Commerce businesses want to know in real time how the traffic,conversions to different product categories are performing.
- Almost all digital businesses want to understand which traffic segments to target at a given point of time. Which customers to target when?
- Similarly what offers are to be provided at a given point of time.
Hopefully new Analytics Architectures and Toolkits such as those based on Apache Spark, Apache Storm, NoSQL datastores etc. provide real
time alerting capabilities on performance of specific KPIs and metrics. Large
volumes of data in many varieties including streaming data in motion, is
processed in Apache YARN/Hadoop and similar platforms, using clusters of distributed
computing nodes. Any anomalies in data for specific metrics can be detected
and reported in real time by sending alerts to business decision makers.
Specific algorithms are written to run on these advanced Analytics platforms using programming languages like Java or Python or R. The need is to actually develop boxed applications around these algorithms, which can be
installed and executed by end users on their own client machines, connected to these scalable, highly available, low latency and real-time data processing platforms over the cloud.
Signature: Roopkumar T.V.
Signature: Roopkumar T.V.
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