Title: Time Series Analysis Author: Kriko Published: Aug 22, 2021 Last modified: Jul 11, 2026 --- 1. [Home](https://kriko.io/) / 2. [Glossary](https://kriko.io/glossary) / 3. T Letter # Time Series Analysis **Time series analysis** is an analytical method used to examine data recorded over time. A time series consists of values related to a specific event, process or measurement arranged according to time intervals such as hours, days, months or years. This analysis helps evaluate how data changes over time, including its trends, seasonal movements and unusual patterns. Its purpose is not only to review the past but also to generate more reliable forecasts and insights for the future. For a dataset to be considered a time series, the observations must be recorded with a time reference. Previous values do not always have to affect later values, although such relationships are common in many time series. Stock prices, exchange rates, temperature readings, monthly sales and website traffic are examples of time series data. These datasets are analysed in chronological order to understand how change occurs across different periods. Stock market data is a common example of time series analysis. A stock’s daily closing price, trading volume or index value can be arranged and analysed over time. The previous day’s closing value may be related to the next day’s price movement, but this relationship is not required for the data to qualify as a time series. What matters is that the observations include time information and are evaluated in chronological order. Businesses can use time series analysis for sales, demand, inventory, call centre volume, website traffic and customer behaviour. For example, a company may analyse monthly sales across several years to identify growth trends and seasonal changes. A call centre can determine which hours receive the highest number of calls and adjust workforce planning accordingly. E-commerce websites can also track how traffic and conversion rates change during campaign periods through time series data. Time series data may include components such as trend, seasonality, cyclical movement and irregular fluctuations. Ice cream sales increasing during summer, outdoor events becoming more frequent in certain periods or tourism demand changing by season are examples of seasonality. Long-term increases or decreases in economic indicators may be evaluated as trends. Separating these components correctly can support more accurate forecasting. Time series analysis is not used only for forecasting. It also supports anomaly detection, capacity planning, risk monitoring, performance tracking and operational decision-making. The appropriate method should be selected according to the structure of the data, time interval, observed patterns and analysis objective. A well-applied** time series analysis** process helps organisations learn from historical data, detect changes earlier and make better-prepared decisions for the future. ## Discover it in the dictionary ### Secure Sockets Layer (SSL) SSL stands for Secure Sockets Layer. It is an older security protocol that enables an encrypted connection between a browser and a web server.… ### Application Programming Interface (API) An Application Programming Interface, commonly abbreviated as API, is a software interface that allows controlled access to specific functions of an application, service, operating… ### Data Quality Data quality refers to the extent to which data is suitable for a defined purpose. A dataset must generally be accurate, complete, current, consistent… ### Nofollow Link A nofollow link is a link attribute that helps search engines evaluate the relationship between one website and another linked page. It is used… ### Cost Per Click (CPC) CPC stands for “Cost Per Click” and refers to the cost per click in digital advertising. It is an important performance metric that shows… ### Content Strategy Content strategy is a strategic process that covers the planning, creation, publication, management and continuous improvement of content across print or digital channels. It… ### Hybrid Cloud Hybrid cloud technology is an IT infrastructure model that enables storage and computing resources to be delivered across both on-premises and off-premises environments. Under… ### Indexing Indexing is the process by which search engines add crawled and evaluated web pages to their own index. For a page to appear in… ### Dofollow Link A dofollow link is a common term used in SEO, but technically it is not an official HTML tag or rel value. When a… ## Track the digital heartbeat with Kriko Subscribe to receive curated insights, news, and ideas shaping the digital landscape. By checking this box, you acknowledge and accept our [privacy policy](https://kriko.io/privacy-policy).