Data Applied, a provider of business intelligence and data mining offerings, has launched web-based data mining tool, which offers an array of data analysis and visualisation techniques, designed to extract knowledge from raw data.
The company said that the new offering can be applied in applications such as analysing survey results, visualising product inventories, optimising marketing campaigns, or finding hidden patterns in product orders.
According to Data Applied, users can connect over the web, upload data, and perform analysis tasks. Interactive data visualisations can be accessed over the internet, or deployed to private intranets and an XML web API enables on-demand remote data analysis, or low footprint integration with other products. In addition, collaboration features such as sharing data sets, tagging analysis results, exporting content as images and searching within results are also included.
Furthermore, analysis techniques include pivot charts, tree maps, time series forecasting, correlation analysis, outlier detection, association rule mining, clustering, decision trees, and similarity maps, the company said.
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The company is also planning to keep adding features such as market-basket analysis or time sequence mining. It relies on SQL technology, either open source (MySQL) or commercial (Microsoft SQL Server) behind its web API.
Dominic Pouzin, founder of Data Applied, said: We see companies trying to analyse data sets such as survey results or sales data using conventional spreadsheet software. Some analysts end up plotting hundreds of pie charts to find which groups are more likely to answer yes to a specific question, buy a specific product, or find outliers. The algorithms we implement do that automatically, but some companies don’t know it is possible.
