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Big Data Analytics in B2B Ecommerce

Big Data Analytics is the talk of the hour, and every organization that’s heard about it even once is thinking about implementing it. There are those who argue that big data is not for all businesses, this isn’t strictly true. With a few tweaks to suit the industry, Big Data Analytics can fit in anywhere and benefit any type of organization. With Big Data Analytics, organizations are discovering actionable insights that would otherwise be impossible to spot from the zettabytes of data being generated.

Big Data Analytics is the talk of the hour, and every organization that’s heard about it even once is thinking about implementing it. There are those who argue that big data is not for all businesses, this isn’t strictly true. With a few tweaks to suit the industry, Big Data Analytics can fit in anywhere and benefit any type of organization. With Big Data Analytics, organizations are discovering actionable insights that would otherwise be impossible to spot from the zettabytes of data being generated.

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and discover l<strong>in</strong>ks between various data po<strong>in</strong>ts, which can reveal customer touch po<strong>in</strong>ts, niche market<br />

segments and otherwise <strong>in</strong>discernible <strong>in</strong>sights.<br />

But what can a <strong>B2B</strong> <strong>Ecommerce</strong> organization do with the data it collects from a <strong>Big</strong> <strong>Data</strong> <strong>Analytics</strong><br />

tool? It can achieve a lot more than just understand<strong>in</strong>g supplier and customer trends; it can improve<br />

its services <strong>in</strong> the follow<strong>in</strong>g quarters:<br />

• Optimized Supply Cha<strong>in</strong>s:<br />

A <strong>B2B</strong> organization’s life lies <strong>in</strong> its supply cha<strong>in</strong>s, efficient ones ensure customer convenience.With<br />

<strong>Big</strong> <strong>Data</strong> <strong>Analytics</strong>, an organization could get real-time data on deliveries, supplier and <strong>in</strong>ventory<br />

states, which could be used to identify supply cha<strong>in</strong> blocks, prepare an order<strong>in</strong>g schedule and p<strong>in</strong><br />

po<strong>in</strong>t major sales trends.<br />

• Sales Opportunities<br />

<strong>B2B</strong> <strong>Ecommerce</strong> organizations have to pick every chance at mak<strong>in</strong>g a sale through their onl<strong>in</strong>e<br />

engagements, whether it is through their website or their social media presence. Apply<strong>in</strong>g <strong>Big</strong> <strong>Data</strong><br />

<strong>Analytics</strong> tools, the sales team will be able to manage the relationship with customers by optimiz<strong>in</strong>g<br />

product/ offer releases, and will be able to follow up with abandoned carts. Furthermore, they’ll be<br />

able to provide real-time personalized offers to buyers.<br />

• Personalization:<br />

Personalization is no longer limited to B2C customers; the <strong>B2B</strong> customer too expects high levels of<br />

customization today – whether it is <strong>in</strong> the form customized products, offers or recommendations. By<br />

br<strong>in</strong>g<strong>in</strong>g to light related products, the <strong>B2B</strong> organization can f<strong>in</strong>d the opportunities to up sell or cross<br />

sell with greater ease.<br />

• Pric<strong>in</strong>g:<br />

<strong>B2B</strong> companies today deal with millions of SKUs (Stock Keep<strong>in</strong>g Units), and manag<strong>in</strong>g them can be a<br />

challenge. By apply<strong>in</strong>g a <strong>Big</strong> <strong>Data</strong> <strong>Analytics</strong> tool that can process millions of data sets, the<br />

organizations can acquire the data necessary to customize pric<strong>in</strong>g. Furthermore, they can test and<br />

determ<strong>in</strong>e price elasticity and segmentation.<br />

• Predictive <strong>Analytics</strong>:<br />

By apply<strong>in</strong>g <strong>Big</strong> <strong>Data</strong> <strong>Analytics</strong>, <strong>B2B</strong> <strong>Ecommerce</strong> organizations can forecast customer buy<strong>in</strong>g<br />

behaviour, optimize stock levels and just as importantly, reactivate dormant customers by renew<strong>in</strong>g<br />

their <strong>in</strong>terest through new products, offers and recommendations.<br />

A <strong>Big</strong> <strong>Data</strong> <strong>Analytics</strong> solution will help <strong>B2B</strong> <strong>Ecommerce</strong> companies make a highly personal, enhanced<br />

customer experience, thereby <strong>in</strong>creas<strong>in</strong>g sales. It will also aid them <strong>in</strong> optimiz<strong>in</strong>g <strong>in</strong>ternal processes<br />

and function<strong>in</strong>g to ensure that performance and efficiency with<strong>in</strong> the organization is also at its peak.<br />

Also see more <strong>in</strong>fo @ http://www.unilogcorp.com

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