Transform your data into revenue generation assets

By Anthony Vendham

Long before all the others, Amazon.com understood that it could not succeed alone. The world was too diverse and too competitive for enabling the organic growth of one online retail powerhouse. So, they Jeff and his lieutenants decided to create a model that is collaborative and hence uses everybody (small and large retail stores) to grow and sustain its prominence position. Today, thousands of small retail shops, specialty stores, aggregators and vendors seamlessly sell their products through Amazon. It is a remarkable business model and a successful example of collaborative offerings that turn potential competitors into partners and greatly benefit customers as well. With Amazon.com, customers have one place to shop, one user experience, one payment system, and one refund policy. However, choice is not limited. “Au contraire”, customers have thousands of sellers and offers to choose from. Their products, itemized description, prices and inventory are seamlessly displayed as if they were seating in Amazon’s own depot. Because of this ability to provide unified experience, many of us would research products on the Internet, compare prices and read reviews but ultimately we would come back to Amazon to make the purchase. This requires an extensive data engineering facility very much like what Netwex offers its clients

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Accelerate revenue and growth using your data like Amazon.com did

Original Article written by Vadim Kotelnikov, Inventor & Founder, The first-ever BUSINESS e-COACH, 1000ventures.com. It was titled: New Business Model and Venture Financing Chronology

Breaking the Rules

Amazon.com is a company that is closely tied with the e-commerce phenomenon. Jeff Bezos, the founder of the company, broke the rules of the book business by using the Internet rather than conventional distribution channels. Based in Seattle, USA, the company has grown from a book seller to a virtual Wall Mart of the Web selling products as diverse as music CDs, software, office products, electronics, toys, games, cookware, hardware, food, and health products. The company has also grown at a tremendous rate with revenue rising from about US$150 million in 1997 to US$5.2 billion in 2003.

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Make Confident & Predictive Business Decisions with Netwex CADE

As a business leader, can you predict and respond to emerging opportunities and threats? Can you optimize your business operations to capitalize on new sources of revenue? Can you proactively manage risk while ensuring efficiency?Netwex  Data Platform and Custom Architecture for Data Engineering (CADE), including its built-in Custom Analytics and Optimization layers is your most powerful ally in the new economic environment.

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With the help of Netwex, you can use your data to drive business fortune

Netwex Customer Architecture for Data Engineering (CADE) is a data platform customized for each client that uses algorithms to look for patterns and semantic similarity, find disparate data with similar context and use those characteristics to create new insights and build predictive models resulting in Forward Peripheral Knowledge (FPK)

Although Netwex’s CADE has data mining capability of its own, it is mostly is powerful knowledge discovery engine (KDE). It enables extraction and consolidation of data from many sources and exposes only one data pipe to the embedded data-consuming engine. This removes the impediments of working across the enterprise IT with data coming from many venues and sources.

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