inotes uses Data Analytics as a tool to examine the raw data about a client, its resources, sales or customers. This presented in an intelligent format facilitates business decisions.

Today organisations continuously generate large amounts of data for a variety of reasons, physical data directly from customers, data from internal processes, data from sales and through interactive websites. All of this data needs to be converted into useful information. The inotes system focusses on the inference that is derived from the results of data mining and on the information that is continuously collated.

Conventionally three sub systems are followed. These are: Exploratory Data Analysis (EDA): to look for new features, Confirmatory Data Analysis (CDA): to look at general beliefs and Qualitative Data Analysis (QDA) to look at non-numerical data such behavior patterns in buying preferences, frequency linked to demographic profiling.

Data analytics by inotes offers advantages that include customer segmentation, profitability analysis, personalized marketing (marketing to individuals based on the data about them), event monitoring, what-if-scenarios (changing of mindset of the customer), predictive modeling and other customizable options.