We prescribe unique and personalized
business solutions at the intersection of
data, technology and strategy
We prescribe unique and personalized
business solutions at the intersection of
data, technology and strategy
Delivering prescriptive Retail e(X)perience strategies at the intersection of design, data & technology with purpose.
We advise senior retailer leaders on how to better leverage their combined choices of technology, analytics & design. We also work with technology companies who wish to best tailor their solutions to address needs that matter most to retailers.
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The need to stay relevant, creative, and competitive is only accelerating. We work with you to determine the best path forward.
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Harnessing the power of data and technology can seem daunting. We make the process seamless and efficient.
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With years of proven expertise in retail, data science and analytics, our suggestions to drive value are concrete and meticulous.
Whether you're starting from scratch or re-imagining how your company uses data and tech, we're positioned to extract maximum value from what you often already own.
Regardless of the maturity level of your business, we leverage the right tools to uncover insights and provide tailor-made solutions. Shaping your strategy with data and technology is both an art and a science. It's never one-size-fits-all.
A retail strategy is the process you use to develop your products or services and sell them to customers. There are multiple elements to this plan, including location, store, merchandise/ assortment, visual merchandising, staff, service, mass media and communications, and price.
Data management is the practice of managing data as a valuable resource to unlock its potential for an organization. Managing data effectively requires having a data strategy and reliable methods to access, integrate, cleanse, govern, store and prepare data for analytics.
Business Intelligence refers to the information required to enhance business decision-making activities. Data Analytics refers to modifying the raw data into a meaningful format. The prime purpose of business intelligence is to provide support in decision making and help the organizations to grow their business.
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