Category Energy Management
Why Visual Data Analytics: Discovery, Innovation and Opportunities
A data analytics framework is applicable to insight discovery; provides a roadmap towards innovation; and enables capabilities that can optimize approaches to new business models and opportunities. The following paper provides examples revealing how and why to apply visual analytics for discovery, innovation and evaluating new opportunities.
Discover how waveforms and patterns are applied to science and finance, and how customer usage patterns can reveal new approaches to market micro-segmentation and persona classifications. Lastly we’ll reveal how the deployment of IoT devices across the enterprise fuels data flow in the physical world regarding the performance and conditions of business assets.
Introduction
Our theme is applying visual data analytics as a tool for discovery, innovation and evaluating market opportunities. We show how two metrics, price and volume, are able to convey insight and establish price targets for technical analysis. Why energy consumption patterns and waveforms lend themselves to understanding science and classifying human behavior. How proxy metrics can serve as measures for physical events. Why linking granular visibility into processes and the monitoring of conditions and operating performance help build an advantage in the digital economy.
Green Econometrics relies on visual analytics as a core fabric in our data analytics frameworks because visual analytics are integral to discovery, innovation and new opportunity development. Visual insights are easy to understand – allowing business objective and performance metrics to seamlessly transfer across business units. So how do we do it?
IoT Connected Devices Change Everything
IoT connected devices represent the most important technological wave since the Internet, smartphones, and social media. The value proposition for the Internet of Things (IoT) is compelling because of the economic and financial value created for the built environment. The reason IoT is so important is because it builds and leverages upon the confluence and scale of an array of advanced technologies that continue to push the price-performance horizon including cloud computing, Internet connected mobile phones, semiconductors, distributed computing, machine learning and analytics. Inherent in IoT is that secure context aware connected devices drive improvements in efficiency, productivity, yield, and profitability by reducing costs.
IoT and business intelligence (BI) systems can provide a substantial enhancement to monitoring traditional key performance indicators (KPIs) such as marketing, sales, financial, operational metrics by adding new dimensions of analysis including assets, equipment, environmental conditions, health, safety, and energy. The balanced-scorecard approach to BI provides a more comprehensive understanding of business performance. IoT enables a facet of new metrics and automates the metric recording and analytics process right to your cell phone.