Analysis of Call Detail Records (CDR)
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Call monitoring and recording applications used by telecommunication companies generate extremely large amount of call detail records (CDRs) in real-time, and companies constantly need to leverage from this data to boost productivity. The volume of the calls and data captured by the call monitoring applications is so large that it impossible to manually analyze and conclude the behavior of the network.
When "problem calls" occur infrequently but often enough, they can negatively affect productivity and efficiency of a thriving business. Such calls are often not reproducible or predictable. For example, when a call suddenly disconnects during the middle of a call or,
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There is voice in one direction but not the other |
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There is echo, or noise, or level issues in one direction and not the other |
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There are signaling issues such as - "no wink", "no ringing or ringback", "no call connection" |
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"Mid-call digits" are not passed reliably during an IVR transaction |
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Digits are split or merged causing incorrect called or calling numbers |
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When such calls occur and users complain, engineers need data to analyze "why such a problem occurred", but the volume of calls presents a needle in a haystack condition. Analyzing the CDRs allows you to
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Drill-down to problem calls and identify the cause |
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Monitor daily operations |
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Identify customer behavior |
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Network usage and performance monitoring or daily or weekly basis |
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| OUR PLATFORM |
Hortonworks Data Platform(HDP) D3.JS PYSPARK
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CLICKSTREAM DATA
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Clickstream data is an information trail a user leaves behind while visiting a website. It is typically captured in semi-structured website log files. |
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| These website log files contain data elements such as a date and time stamp, the visitor's IP address, the URLs of the pages visited, and a user ID that uniquely identifies the user. |
| POTENTIAL USES OF CLICKSTREAM DATA |
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One of the original uses of Hadoop at Yahoo was to store and process their massive volume of clickstream data. Now enterprises of all types can use Hadoop and the Hortonworks Data Platform (HDP) to refine and analyze clickstream data. They can then answer business questions such as: |
What is the most efficient path for a site visitor to research a product, and then buy it?
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| What products do visitors tend to buy together, and what are they most likely to buy in the future?
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Where should I spend resources on fixing or enhancing the user experience on my website?
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