Trend and behavior analysis
Trend Analysis is the practice of collecting information and attempting to spot a pattern, or trend, in the information. Trend analysis is used to predict future events, based on similar historical events, but it could be used to estimate uncertain events in the past. Trend analysis is based on the idea that what has happened in the past gives an idea of what will happen in the future.
For example, in stock markets, trend analysis tries to predict a trend like a bull market run and ride that trend until data suggests a trend reversal (e.g. bull to bear market). Trend analysis is helpful because moving with trends, and not against them, will lead to profit for an investor.

Overview of trend analysis
Trend analysis is a method of time series data (information in sequence over time) analysis involving comparison of the same item (such as stock market change during a week) over a significantly long period to detect general pattern of a relationship between associated factors, and to project (predict) the future direction of this pattern.
Trend analysis involves application of techniques for extracting an underlying pattern of behaviour in a time series which would otherwise be partly or nearly completely hidden by noise. It achieves automatic identification of trends in information to predict future events.
Trend Analysis can be extremely valuable as an early warning indicator of potential problems and issues with product line and service level changes that impact customers.
Scientists and reseraches in Brainstorm Private Consulting have been specializing in the development of effective trend and behavior analysis techniques for over 10 years and have applied these in many application areas.

How Businesses can benefit from trend analysis
Businesses in all sectors can benefit from trend and behavior analysis. Data collected and stored in databases, including data archived in data warehouses, is data representing some real world process or processes. Trends and behaviors which exist in the real world process will be identified with the data collected. The application of the appropriate techniques to detect these trends can lead to new knowledge about the data and its future direction.
Trend analysis is applicable in a variety of domains, such as social networks, customer behavior, stock markets and risk assessment.

Case studies
Please refer to the Solutions page for Case Studies describing applications of various atrend and behavior analysis techniques with client data. Please refer to the Training page for our professional Trend and Behavior Analysis training.