One of the key challenges faced by IT is satisfying the large volume of requests for IT and business projects, including BI (business intelligence) and report requests that can be difficult to fulfill when data is siloed across the organization.
Category management is a collaborative, continuous process between consumer packaged goods (CPG) manufacturers and retailers to identify, analyze, and manage a consumer’s “need state,” which is often referred to as a “category.” The discipline of category management is taking on increased importance for CPGs and retailers in the era of… Read More →
Digital technology has empowered today’s consumers to radically shift how they interact with brands throughout the purchase cycle. At the same time, as consumers are relying more on technology to dictate their product research and purchases, they are generating reams of data that brands can use to improve how they… Read More →
Marketing departments are experiencing ballooning pressure to deliver profits in today’s “Age of the Customer,” where consumers’ tastes and subsequent shopping behaviors evolve as quickly as the online outlets available for them to peruse products and services.
Assessing and managing big data is no longer just for big companies. An increasing number of smaller, local businesses are finding impressive ways to put analytics to work on a small scale – and cheaply. Just look at localized online video advertising company, Slightly, which has recently raised $1.7 million in seed money.
To reduce customer turnover and increase customer loyalty, companies must understand customer expectations. That’s why every business leader is constantly searching for ways to answer the question: “What do my customers expect from me?”
Many marketers struggle to keep pace with sudden shifts in consumer behavior and market trends. For many organizations, it comes down to a lack of follow-through on the use of real-time customer and market information.
Most software solutions aren’t up to the challenge of making use of rich e-commerce data, solving new problems for businesses as they grow, or consuming more types of data over time. But, instead of viewing these challenges as problems, why not see them as opportunities?
In a previous post, we described the fourth stage of the Analytics Maturity Model, “Operationalize,” in which organizations make analytics accessible across the enterprise for all business users, bringing analytics outside the traditional domain of analysts and data scientists.
One of the ultimate goals for successful retailing is to achieve an optimal balance of product assortment, shelf presentation, pricing, and promotion – aka the four Ps of retailing. The fact is there’s just too much information regarding sales, costs, and customer behaviors pouring in across multiple locations. And that… Read More →