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Getting business value from enterprise data

Richard Jones, Vice President for Asia Pacific and Japan, Cloudera | Dec. 18, 2015
Dive deeper into how businesses can achieve full value from their data with an enterprise hub architecture that builds on Hadoop's principal benefits.

This vendor-written piece has been edited by Executive Networks Media to eliminate product promotion, but readers should note it will likely favour the submitter's approach.

Richard Jones, Cloudera
Photo: Richard Jones

Big data is no longer just hype. As the Apache Hadoop ecosystem has evolved and matured, enterprises are graduating from evaluation and prototyping to production, deploying Hadoop-based platforms as enterprise data hubs to deliver transformative business value. Hadoop brings the benefits of high performance and predictable scalability without schema restrictions to complex data with minimal cost, making it very attractive to budget conscious IT organisations.

Nevertheless, the relevance of big data to broader business objectives requires a platform approach that ensures superior performance and operational efficiency aligned to a wide variety of use cases and additional functionality.

One real possibility is an enterprise data hub architecture that builds on Hadoop's principal benefits — one that delivers an array of powerful processing, exploratory, analytic, and real-time capabilities, certified to work seamlessly and securely with existing infrastructure and tools.

Keep an eye on virtually everything
Perhaps no industry has been more affected by the data deluge than retail. Retailers now have the opportunity to capture and analyse real-time interaction and behavioural data, combining it with transactional data, to get more complete perspectives into the customer journey across in-store, online, and mobile channels.

Service providers, such as hotel and restaurants, too, are among the world's biggest aggregators of consumer data and work under the most uncertain regulatory conditions. Securely storing billions of records and providing transparent, real-time customer access has historically required multiple expensive systems to handle the huge size, complexity, and variety of data.

At the same time, healthcare organisations have a unique opportunity to map the patient experience across care centres, online and at home. With the move towards the digitisation of patient data, together with the adoption of wearables, fitness trackers, and other connected health devices, care providers are able to build a more complete picture of how treatments and preventative measures impact patient health.

With an enterprise data hub, these organisations can map diverse human interaction, transaction, and device data across multiple platforms in a single place at considerably lower cost. Given rapid systems consolidation and the competition to acquire and retain business, businesses have the tools to research, develop, and bring new products to market in a fraction of the time. A deeper and more synchronous view of behaviour — while maintaining security and privacy — is a prime benefit of a powerful, centralised data hub.

Win more customers
One of the most obvious areas of focus for online retailers is in improving their conversion rates. Why do shoppers abandon their carts? What would help them drive towards a purchase decision faster? If they leave, how can we get them back?

 

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