Collaborating Authors

Will 2017 Be the Year of the Predictive Engine?


What does the future hold for marketers in 2017? Predictions, prophecies, and forecasts can be tricky business. But predicting consumer behavior is about to become integral to every marketing department's strategy. Get ready to wrap your arms around your data. Due to the rise of predictive engines, 2017 is the year when data will become more intelligent, more useable, and more relevant than ever.

Smart Predictive Maintenance: The Key to Industry 4.0


Smart Predictive Maintenance is a modern maintenance technique that incorporates several technologies and maintenance approaches (including the powerful and advanced Predictive Maintenance (PdM) method). SPdM is the continuous monitoring and analysis of a network of assets that enables prediction and notification of potential outages. Besides, it provides information on maintenance planning and spare parts planning, as well as automation of maintenance tasks. IoT is not just about sensors and actuators. The real value of IoT lies in the digital connections it creates.

Predictive Monthly: The Role Of Predictive In Your Analytics Strategy


Two of the hottest terms in the business world right now are "predictive analytics" and "data science." We know that they are the keys to making better decisions and ultimately improving business performance, but how do they actually do that? And if they are so crucial, why isn't everyone implementing them? Part of the problem is that people bring their own preconceptions that lead to wildly different definitions and expectations. Another problem are the terms themselves: are other forms of data analysis (such as business intelligence) not "science" but just "data art"?

3 Components that Underlie Predictive Analytics


Let's start with understanding "Predictive Analytics". This term originated as an evolution from "Descriptive Analytics", or just plain "Analytics". Descriptive analytics refers to the process of distilling large amounts of data into summary information that is more easily consumed by humans. Example techniques used in Descriptive Analytics include counts and averages to answer a question such as "What were my average sales by region last quarter?" By its nature, descriptive analytics is a backward looking view at "what happened."

How Predictive Content Marketing Can Drive B2B Marketing ROI


Predictive content marketing is a game changer that enhances the customer experience by identifying the exact content that will make the maximum impact while helping customers throughout their purchase decision journey. A smart customer is a voracious information-seeker. It is evident from the fact that today's digital, connected and empowered customers rigorously search through an ocean of digital content to help them take the most relevant (both cost wise and utility wise) and efficient purchase decisions – from cosmetics to educational courses; software to stationary. Now, while browsing, searching and clicking through numerous online information sources of content, customers create silos of data, which if leveraged with the help of predictive analytics could lead marketers to generate the kind of effective content that would extract precise and exact responses from customers. The simplest meaning of predictive content marketing is the supply of data-driven content to target customers based on their past interactions, preferences, and engagement with digital content.