Technical Program

Organizations are directing their executives and managers to implement or improve upon corporate initiatives such as Sustainability & Energy Management, Maintenance Management, Operational Management, Capital Improvement Project Management and Real Estate/Facility Management.

These initiatives require reliable data from multiple data sources and the ability to transform the collected real-time data into actionable information, and provide the means to analyze and visualize the data to assist in the business decision processes.

One approach is through time series data. Time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data.

Time-series data is a powerful insight waiting to be unlocked inside of every business process, application, piece of IT infrastructure and IoT sensor. When harnessed, it can reveal actionable trends, patterns, variability, rates of change, covariation, cycles, exceptions, anomalies and outliers.

In this presentation, we will review time series data how it relates to Haystack methodologies and how to make use of it.