Telecom Service Providers are now able to turn the avalanche of data they have into valuable business insights. These insights play an integral role to help telcos achieve business objectives and promote growth. This whitepaper looks at the 4 key big case data uses for telcos from customer experience management, to network optimisation, operational analytics and data monetisation.
Supply chain quality has been the holy grail of manufacturing as issues in this area would impact the customer's experience and create negative repercussions for a company's bottom line. Find out how the enterprise data hub helped an organisation save $15-25 million based on its ability to identify and address supply chain issues in near real time.
With fraud costing the property and casualty industry $30 billion each year in the US alone, reducing fraud opportunities will contribute to a company's bottom line immediately and reduce risk exposure. Find out in this case study how a company is able to have real time access to 60 plus years of adjuster claim notes data and how they were able to enhance their warehouse environment.
This whitepaper outlines new reference architecture for data warehouse optimisation to help organisations speed time to value, maximize productivity, lower costs and minimise risk. • Traditional data warehouse environments are overwhelmed by soaring volumes and varieties of data pouring in • An upgrade is not the most effective way to manage an excess of seldom-used data. To keep pace with exploding data volumes, the data warehouse itself needs to evolve. • One emerging strategy is data warehouse optimisation using Hadoop as an enterprise data hub to augment an existing warehouse infrastructure.
This whitepaper discusses why an analytics-ready Hadoop-based enterprise data hub platform and advanced integration are critical technologies to take full advantage of big data. • Organizations increasingly recognize the potential of big data to transform their business • One of the biggest challenges associated with big data projects is a shortage of resource skills. • Learn about a solution to increase productivity up to five times with readily available trained developers
This report discusses how the key to optimizing business operations in the financial services sector is maintaining an efficient and comprehensive Big Data infrastructure. • New regulatory compliance laws mean financial services organizations are required to be able to access years of historical data in response to regulators’ requests for information • Federal stress tests have increased the demand for predictability and integrated solutions for capital asset management. • The size, expense, and complexity of data management at this scale easily overwhelms traditional systems
This whitepaper explain how uniting leading enterprise analytic data management software with an Intel data centre is the fastest way to achieve industry adoption of Big Data solutions.
• In the past few decades, Intel has been a pioneer and the force behind major shifts and advances of technologies • Today, Big Data is one of the most innovative trends in data management and Apache Hadoop is the primary technology. • The power to drive the inflection points in data centre technologies lies with the ability to have software and silicon co-evolve to deliver dramatic gains.
This whitepaper features three financial firms where an enterprise data hub enabled more exploration and discovery of big data, helping decision-makers bring the future of their industries to the present. • For financial services firms, overcoming the frictions related to multi-tenancy on compliant and secure systems is the gateway to advanced Big Data processes • The central, open, and scalable nature of an EDH makes it more akin to a solutions engine • Learn how to minimize opportunity cost and emphasizing integration with a vast and growing ecosystem of relevant technologies and familiar applications
Read how Western Union built an enterprise data hub to drive actionable insights that help the company create products and services that are relevant to its customers. • Transformation at Western Union is driven by massive amounts of transactional data • Western Union strives to support and simplify this volume from different channels and devices • Customer experience and security, risk and compliance will benefit from a solution that brings together structured and unstructured data stores