top of page
Structured data
A standardised format for providing information in a fixed
field within a record or file. This includes data contained in
relational databases and spreadsheets.
Supervised Learning
Supervised learning is an approach to creating artificial intelligence (AI), where a computer algorithm is trained on input data that has been labeled for a particular output. It uses training data sets to achieve desired results. These data sets contain inputs and the correct output that helps the model to learn faster and helps organizations to solve a variety of real-world problems at scale, such as classifying spam in a separate folder from your inbox, Customer sentiment analysis, etc.
Text Analytics
Text analytics is the automated process of translating large volumes of unstructured text into quantitative data to uncover insights, trends, and patterns. It has many applications including analyzing product and service reviews to see how your customers evaluate your company, processing the results of open-ended responses to customer surveys, or checking out what customers say about your brand on social media. It helps understand customers’ needs, motivations, and expectations, and provides insights to rethink your customer experience strategy.
Time Series Analysis and Forecasting
Time series analysis is a specific way of analyzing a sequence of data points collected over an interval of time to understand the trends, and seasonality, The three main types of time series models are moving average, exponential smoothing, and ARIMA. The crucial thing is to choose the right forecasting method as per the characteristics of the time-series data. Time-series Analysis helps businesses to dig deeper into the reason for the seasonality and trends in a data and future forecasting helps to scale businesses according to market demand.
Transactional Data
For example when somebody registers for a service, signs an
attendance register, books to attend an event, or perhaps
when they purchase or donate.
bottom of page