Data Analysis
19Jan

iDropper – The Data Ingestion, Monitoring and Reporting Tool

In today’s complicated world of business, the data, organizations own and how they use it, make them different from others to innovate, to compete better and to stay ahead in the business. That’s the driving factor for the organizations to collect and process as much data as possible, transform it into information with data-driven discoveries, and deliver it to the end user in the right format for smart decision-making. Common Challenges/Concerns Fetching the raw data files from the various data...

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02Jun

Processing and Analysis of Big Telecom Data to minimize crime, combat terrorism, unsocial activities etc.

Telecom providers have a treasure trove of captive data - customer data, CDR (call detail records), call center interactions, tower logs etc. and are metaphorically “sitting on a gold mine”. Ideally, each category of the generated data has the following information. ⦁ Customer data consolidates customer id, plan details, demographic, subscribed services and spending patterns ⦁ Service data category consolidates types of customer, customer history, complain category, query resolved etc.       are on ⦁ Usually for the smart mobile phone subscriber,...

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22Mar

Real time data analytics helps mobile service providers to achieve aggressive advantages

Usage of smart phones has become an integral part of our daily routine. Keeping aside phone calls and SMS, we are always engaged with lots of other activities Starting from entertainment to domestic shopping, social engagement etc., by installing various types of mobile applications. Of course, mobile internet is mandatory to carry out above.  Mobile service providers are facing new and difficult challenges. Due to exponential growth of customer's expectations, they need to serve accordingly with advanced mobile technology and handle...

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17Jan

Leverage Big data for fraud detection

  Now a day's Financial industry as well as Banking system are facing most costly challenges in terms of fraud and other financial crimes. Big Data processing framework like Hadoop and its eco systems are started helping to detect, prevent and eliminate internal and external fraud as well as reduce the associated costs. Analyzing points of sales (POS) in shopping malls. hospitals, retail stores etc and other transactions places, Banking system are capable enough to identify and mitigate fraud immediately....

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