5 REASONS TO INTEGRATE INTELLIGENT SEARCH

Intelligent search solutions for organizations are leading to integrate intelligent search One of the biggest problems facing large, data-driven organizations today is how to make the leap from gathering and storing data to efficiently analysing and making use of it. Gathering data is all well and good, with many services available for data storage. Effective use of that data depends not only on storing it but also on being able to retrieve it and make use of it on demand. Making these vast data sets accessible and easily searchable for technical and non-technical users alike is the goal of Intelligent Search. Read on to learn 5 reasons why your organisation may benefit from integrating an intelligent search solution. Easily classify and categorise heterogeneous data sets One of the biggest concerns for many businesses looking to integrate a new technology is the onboarding process. This can be particularly painful for data processing and analysis, as it often means having to format data into a specific format used by the new technology. In the case of intelligent search solutions, this isn’t always necessary. Intelligent search solutions are capable of data discovery across disparate heterogeneous data sets without the need for any formatting or prep work beforehand. Instead, pre-built connectors and converters are used that collectively allow for data in different file formats to be discovered, indexed, and made easily searchable automatically. This removes what can otherwise be a significant headache for many during the onboarding process. Analyse and understand connections between data Data that is gathered but not analysed is wasted data. Market research by IDC suggests that the vast majority of data gathered and stored is unstructured – as much as 90%. Analysing this data and discovering connections within and between data sets leads to richer data and makes searching for data more meaningful. The intelligent search uses machine learning and n