SOLUTION BRIEF
Big Data & Creativity: Start Thinking Outside of the Box Predictive analytics and other creative uses of big data are driving innovation in a variety of ways, including:
72%
of organizations have experienced a situation in which their analytics projects have exceeded expectations.1 – CompTIA
With so many businesses already finding success with big data, gaining a competitive advantage won’t be easy. Instead of just moving ahead on standard, well-established big data strategies, companies must seriously consider how they can use information creatively to drive the greatest possible returns. In many cases, this takes the form of predictive analytics - using data from diverse sources to anticipate situations before they unfold and act strategically. Developing innovative methods to put big data to use can help organizations stand out from the competition.
Getting Creative with Big Data Some organizations are already finding success when it comes to using big data creatively. Many manufacturers have begun enacting just-in-time supply and inventory management - a strategy in which data gathered from across the business allows materials to be delivered to production environments precisely when they are needed, adding a layer of efficiency and productivity to operations.
Creating Brand Awareness A creative big data strategy can give organizations new insights into customer expectations and responses to corporate decisions. From there, companies can engage customers in new ways to improve brand awareness. A recent Business2Community report explained that creative uses of big data are transforming marketing strategies.2 This is particularly true in the way that a big data strategy can enable companies to gather unstructured forms of data, such as social media posts, to engage potential customers and take actions that set them apart in their industry. The news source explained that Morgan’s Steakhouse found success with this strategy when they noticed that a loyal customer created a social media post about pining for a steak from Morgan’s, but missing out because he had to travel. When the restaurant noticed this, it dug into its big data platform to find that the individual was a regular who frequently ordered the same thing. They prepared the favored meal and had a waiter in a tuxedo awaiting the customer at the airport where his flight was landing. The ability to mix-and-match both structured and unstructured forms of data so quickly gives companies a chance to seize unique opportunities that may arise among customers globally or within their communities.
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