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30/03/2015

EBI’s Crowdy designed to work hand in hand with Watson Analytics

Crowdy is a customer engagement and reward tool developed by business intelligence experts, EBI Solutions. Built on IBM Technology, Crowdy has been designed to work hand in hand with Watson Analytics.

Crowdy is being included within IBM’s “A new way to work in the new insight economy” livestream event on 1st April 2015. The Crowdy team are now looking for 20 organisations to become launch partners, giving them first access to all the benefits of Crowdy, for free. Just register your interest via the Launch Club.

Capturing data using Crowdy is easy

Crowdy is a customer engagement and reward tool that collects rich location aware customer data, delivering instant rewards for responses. The enterprise class mobile application can be used to ask an invited audience almost any question. Organisations can ask about their crowd’s attitudes, beliefs and behaviors or about what they can see around them. For example, a shopper could be asked which product they prefer and why, or to check stock levels or photograph a display.

Crowdy is a software as a service (SaaS) offering. Using the intuitive Crowdy Create online application to create a data capture survey is easy. Log in, type questions, select answer types, upload branding, add a reward and set parameters such as distance from a location and number of responses required. Then invite a crowd to respond. For the early bird customers, set-up costs nothing; with the first 2,000 responses also being free of charge.

Once at a location respondents see a branded survey, swipe through to answer questions and then receive a reward, such as a discount code or competition entry, sent direct to their phone. All the data they have provided is instantly sent to IBM data centres, ready for ingestion into Watson Analytics.

Crowdy and IBM Watson Analytics

IBM Watson Analytics enables organisations to explore data and discover insight in a whole new way. The breakthrough technology leads the field in advanced and predictive analytics. It rapidly identifies relationships in data and delivers exceptional analytics via a simple to navigate user interface.

Like all Business Intelligence solutions, Watson Analytics relies on high quality and comprehensive data input. In pursuit of this, Watson Analytics has built in tools to explore and refine data, helping users improve data quality and gain deeper insights. What it can’t do is fill data gaps, which is where Crowdy’s unique data capture capabilities come in.

Café discovers fresh insights through Watson and Crowdy

In one application, Crowdy and Watson Analytics were used in conjunction to identify what was driving buying decisions in a chain of café outlets, Honest Café. Crowdy was able to capture data about student demographics that would otherwise be difficult or costly to obtain. The results found a strong correlation (86% predictive strength) between social behavior, day of week and payment method. This enabled Honest Café to tailor marketing plans to better target this buying group.

What will you discover?

Watson Analytics is already helping all kinds of organisations to find new insights and make better decisions. The cyclical approach of using Watson Analytics hand in hand with Crowdy enables an ever richer story to be told about the customers over time.

EBI Solutions has been an IBM Business Partner for 14 years and helped a large number of enterprise accounts with information management and analytics. We’re helping many customers understand the value of Watson Analytics and so we’re a good starting point for companies wanting to know more about this exciting technology.

See Crowdy and Watson Analytics – Signature Moment Event

The Honest Café case study will be presented as part of IBM’s free Signature Moment livestream webcast event – “A new way to work in the new insight economy” – taking place on 1 April 2015, from 3:00 p.m. – 5:00 p.m. Register.

Join the Crowdy Launch Club

Sign up as one of Crowdy’s early launch partners to be first to benefit. Register.

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