DataSphere – Profit from our text analysis experience!
Customer relations and financial management solutions have been an issue for years and are a regular feature in daily business now. In contrast data management and analysis has been much less discussed and enterprises often are still in the first stage of dealing with this issue. The conception, implementation and development of an applicable and efficient solution for this problem is very cost- and time-intensive.
We have been dealing with the analysis, the processing and the management of text data for more than a decade. On the basis of our collected and condensed knowledge we have developed the DataSphere, an agile and collaborative data analysis tool, which can be implemented fast and easily in your existing software environment. It offers an efficient and tested solution for all problems in dealing with un- and semi-structured data.
The DataSphere is of modular design and can be adapted to your requirements. The different components are based on state of the art technologies from the fields of statistics, NLP, cognitive computing, computational linguistics and computer sciences. The tool is designed to offer the opportunity to work across teams and functions. Thus product owners, domain experts, software developer, researcher and analysts are able to work together with this collaborative platform without frictional losses.
A user-friendly dashboard designed according to the latest insights on user experience also enables non-IT-experts to configure DataSphere so they get a quick and clear overview of the required information or analysis.
Unravel your data step by step!
Rules are developed jointly in an agile environment across teams and functions including the knowledge of experts. The decision which rules are actually used is made by the product owner respectively the team leader. Rules in the DataSphere are entered in prose to make sure that the correct rules for processing data are applied.
The rules in prose from the domain experts are converted into rules that the DataSphere is able to process. To guarantee the quality of the results the rules can be adjusted by an in-house Content Researcher as needed improving the results additionally.
The data is processed and analysed with the help of our linguistic text mining and Natural Language Processing (NLP) methods. These technologies ensure that texts are understood on a deep level including context, sentiments and writing styles so that the information is interpreted correctly.
Rules are corrected continuously by checking the results and the extracted information as well as by random comparative tests. Fine tuning and monitoring of final results by Glanos or the in-house Content Researcher.
Results from data analysis are visualized in a clear and easily understandable way or summarized in the form of a dossier for the evaluation by analysts and administrators. Every step can be tracked at any time to correct mistakes whenever it becomes necessary by adjusting the rules.
A user-friendly, collaborative dashboard designed according to the latest insights on user experience makes it easier to operate the DataSphere. A differentiated user administration allows a fine-tuned granting of access rights to avoid faulty entries. It allows every team member the insight he needs for his work.