In the world of big data, are you an analytical producer or an analytical consumer?
Don’t worry; one isn’t necessarily better than the other. In fact, analytical producers and consumers need each other, as we explain in our white paper, “Big Data Analytics in Action.” Analytical producers use data mining, predictive analytics, machine learning and natural language processing to produce models, which analytical consumers use to drive the business forward.
Another important topic we cover in the paper is the difference between big data and analytics, a difference that sometimes gets blurred in the conversations between IT and business managers.
Big data is about the storage, speed, performance and functionality of hardware and software pulling information into your organization. Analytics is about enabling informed decisions and measuring impact on your business. Big data drives innovation in analytical technologies, and this white paper introduces you to the most prevalent of those analytical technologies, as shown in the diagram:
The white paper also contains concrete applications of analytics and big data in marketing, finance, healthcare, pharmaceuticals and manufacturing, along with a series of tips to ensure success in your next analytics project.
Get your copy of “Big Data Analytics in Action” and keep an eye out for more content on the Quest Community.