Business Concepts

DRIVE CONVERSIONS BY HARNESSING BIG DATA

The combined forces of technological innovation, changing consumer preferences and a prolonged period of slow economic growth are driving rapid changes in the retail industry. For retailers, Apache Hadoop can be a powerful tool for responding to that change.

In many countries, “new normal” post-recession consumer spending growth rates are lower than before the crisis. At the same time, technology has empowered consumers to be smarter, more social shoppers. Online ratings, reviews, and price comparisons influence their shopping and when it comes time to buy, they can purchase on a mobile device, online or in a store. The new shopping hours are 24×7.

In this climate, retailers need data-driven ways to segment customers, interact with them, and manage supply chains to match products with consumer demand.

Hadoop improves customer segmentation. Retailers mine a rich trail of consumer data from sources previously unavailable at a large scale: online reviews, blogs, and social network messages. The new data sources in Hadoop deliver retailers unprecedented insights into consumer behavior and preferences. Hadoop data also improves customer interactions with confident next-product- to-buy (NPTB) recommendations. It can also recognize customers across multiple channels and touch points to produce in-store or online personalized recommendations, along with real-time coupons to whet their shoppers’ appetites.

 

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Finally, retailers use Hadoop for better forecasting, purchasing and supply chain optimization. They can optimize distribution routes and inventory levels to appeal to the local and rapidly changing tastes of individual consumers.

Build a Modern Retail Data Architecture with Enterprise Hadoop

Ingest all the data, store it at scale and analyze it with the tools you already use (Source: Hortonworks)

To realize the value of your investment in big data, use the blueprint for Enterprise Hadoop to integrate with your EDW and related data systems. Building a modern data architecture enables your organization to store and analyze the data most important to your business at massive scale, extract critical business insights from all types of data from any source, and ultimately improve your competitive position in the market and maximize customer loyalty and revenues.

 

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Concepts

THE NEXT GENERATION IN COMPUTING TECHNOLOGY

Learn how adopting Hadoop can give your organization the competitive advantage

Apache Hadoop didn’t disrupt the datacenter, the data did.

Shortly after Corporate IT functions within enterprises adopted large scale systems to manage data then the Enterprise Data Warehouse (EDW) emerged as the logical home of all enterprise data. Today, almost every enterprise has a Data Warehouse that serves to model and capture the essence of the business from their enterprise systems.

Hadoop a modern systems architecture

A Modern Data Architecture with Apache Hadoop integrated with existing data systems (source: Hortonworks)


The Challenge of New Types of Data

The emergence and explosion of new types of data in recent years has put tremendous pressure on all of the data systems within the enterprise. These new types of data stem from ‘systems of engagement’ such as websites, or from the growth in connected devices.

The data from these sources has a number of features that make it a challenge for a data warehouse:

Exponential Growth. 85% of this data growth is expected to come from new types like Clickstream data, Server Logs, Geolocation, Machine and Sensor data,..

Varied Nature. The incoming data can have little or no structure, or structure that changes too frequently for reliable schema creation at time of ingest.

Value at High Volumes. The incoming data can have little or no value as individual, or small groups of records. But high volumes and longer historical perspectives can be inspected for patterns and used for advanced analytic applications.

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The Growth of Apache Hadoop

Challenges of capture and storage aside, the blending of existing enterprise data with the value found within these new types of data is being proven by many enterprises across many industries from Retail to Healthcare, from Advertising to Energy.

The maturation of Apache Hadoop in recent years has broadened its capabilities from simple data processing of large data sets to a fully-fledged data platform with the necessary services for the enterprise from Security to Operational Management and more.

Hadoop and your existing data systems: A Modern Data Architecture

From an architectural perspective, the use of Hadoop as a complement to existing data systems is extremely compelling: an open source technology designed to run on large numbers of commodity servers. Hadoop provides a low cost scale-out approach to data storage and processing and is proven to scale to the needs of the very largest web properties in the world.

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