Tier 1 Communications Provider Efficiently Manages Big Data, Saving Millions of Dollars and Enabling Richer Analytics for Business Users

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1 Tier 1 Communications Provider Efficiently Manages Big Data, Saving Millions of Dollars and Enabling Richer Analytics for Business Users

2 Background Communications providers have had experience with Big Data for many years, even before the term became popular. Communications data is voluminous, largely machine-generated and created at network speed. This case study details how a leading Communications Service Provider (CSP) met the challenge of providing high levels of customer service, even outside their core offerings. In particular, they managed and maintained the transactions and interactions with customers via external channel partners. To achieve this, they had to effectively store and analyze data from multiple independent data sources that fed into centralized databases and data warehouse environments as well as provide the ability to view multiple years of history for richer business insights. The Problem Internal business users needed continuous access to detailed customer transaction and interaction data for ongoing reports and analysis. However, with unprecedented data growth rates and increased data sources, the existing database management environments were not scalable going forward. a need for targeted departmental access, an anticipated annual growth of 100%, and you are left with a big data management challenge. For this particular CSP, the growth alone would have resulted in a 15x increase in infrastructure cost over time. In 2012, more than 35 million data transactions were regularly processed in a single day, with transactions peaking in excess of 3 million per hour. The volume and diversity of data sources created a level of complexity that made it virtually impossible to scale. Couple this with About the organization: Connecting people around the world, this company has been consistently driving innovation in the communications industry for decades. Recognized as one of the leading worldwide providers of IP-based communications services it covers 275 million customers globally. RainStor 2

3 The RainStor Solution RainStor was deployed as the online data archive solution, fully accessible for query and analysis. Since RainStor is an open, standards-based database technology, it was integrated quickly with existing data warehousing infrastructure. Cost effective archiving and data management Historically data volumes doubled every year, with long-term data retention mandated. the ability to query. The interim stage could now be dropped entirely and there was no longer a need to put any data on offline tape. Storage costs are now lower since RainStor enables usage of low cost Tier 3 NAS or Cloud storage. It also means substantially lower overhead and administration costs. Initial estimates forecast a savings of $4.3 million over 4 years RainStor changes the archive landscape completely! Principal Architect Transitioning data to an archive previously involved a minimum of 3 stages: Initial - data is edited, queried, and stored in a traditional RDBMS on expensive hardware. Interim data is moved to a warehouse solution where it sits in an immutable state, and is available for query. As data volumes increase, response times degrade substantially, and Tier 1 or 2 storage and hardware becomes more costly. Final - data is stored immutably, and, depending upon the archive solution used, is no longer accessible to queries. The RainStor database achieved 30x compression - a 97% reduction in storage footprint while retaining Highlights : 95% annual operational cost savings Forecasted $4.3 million in savings over four years 30x data compression reducing storage footprint by 97% Dramatically improved query performance Complexity of data Customer service data was previously hosted in multiple instances of disparate applications. Data was gathered globally from: Call detail records (CDRs) Interactive voice response data (IVRs) Web applications and logs Billing information RainStor was deployed to achieve insightful historical analysis for multiple business functions. Reducing data from multiple sources to a single data set allowed a consolidated, comprehensive analysis of the data. RainStor 3

4 Economic and Business Benefits Size: 97% Storage Footprint Reduction Translated to Millions in Cost Savings Company s capital investment was optimized as well as reduced power costs and space requirements across global data centers. Speed: Faster Query Response Dramatic reduction in response times to on-going business queries from minutes to seconds. Scale: Extremely Scalable Database RainStor has been designed for predictive scalability when data volumes reach hundreds of petabytes and beyond. The RainStor database solution enabled the CSP to continue to scale without having to worry about performance degradation over time. Simplicity: Deployed on Low-cost Commodity Hardware RainStor is simple to deploy and manage. It can be deployed on all types of low cost commodity hardware infrastructures such as NAS, or Cloud. A single location for historical data = reduced administration and management costs. With RainStor, we can now keep multi-years of history which gives much greater business insights all this at 1/10th the cost! Principal Architect Benefits Summary RainStor is an extremely valuable database for complete, high level analysis of historical data on a scale never before possible. The opportunities for cost savings and insight into the business functions are impressive. Attained 30x data compression reducing storage footprint by 97% Provided a single historical data set that can be queried 90% ROI forecast in four years Dramatic improvement in query performance Early results with only a single implementation in place projects substantial savings - $4.3 million over four years. As the principal architect stated, they are just getting started! We keep finding new stuff we can do with RainStor! We re just getting rolling! RainStor 4

5 About RainStor RainStor is the only enterprise database that consistently delivers 90% cost savings to customers facing Big Data and Data Warehousing challenges. RainStor s patented technology provides the industry s highest rate of data compression combined with high performance on-demand query access, resulting in huge cost savings, improved operational efficiency and predictive scalability when managing and analyzing Big Data. RainStor s comprehensive built-in security ensures data privacy, protection against insider threats via role-based access, authorization and authentication. RainStor provides customers the flexibility to choose from a wide variety of storage options, including NAS, SAN, CAS, Cloud and even runs natively on Hadoop, further leveraging existing investment on low cost commodity hardware. Customers deploy RainStor to cut costs, reduce complexity and compliance risk while meeting business demands for operational efficiency and high performance analysis. RainStor sells directly and through strategic partners including Amdocs, Anritsu, Dell, HP, Teradata and others delivering enterprisegrade Big Data solutions. For more information, please visit or join the conversation at

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