In this digital age, data, information and knowledge are valuable assets for an increasing number of businesses, and effectively leveraging this data capital can be vital to a company's success.

Businesses often have more than the ‘hard currency’ of numbers, dates and facts, with many possessing previously untapped sources of information in text format. The solutions: Searching and text analysis.

Weiterführende Informationen

In many cases, the quality of the Search function is the sole deciding factor in the success or failure of a digital offering, and the daily use of Search engines online has shaped user expectations. We’ll help you to fulfil those expectations. Your high-quality content can only be used by your customers and employees if it is directly and easily accessible. Implementing a high-quality search function is a technologically demanding process.

inovex has the necessary experience in a tremendous variety of Search and text analysis fields. We provide independent advice and handle the implementation, from the first design draft to data centre operation.

A frequent application area for Search technologies is the traditional enterprise Search. Just as they do when searching the Internet or in online stores, users receive simple, rapid access to all relevant company information – regardless of whether it is stored in files or corporate databases. Of course, this access is governed by appropriate authorisations and data protection functions. We’ll build a bridge between your areas of specialisation and specific Search technologies, and we’ll work with you to create the perfect combination of full text Search functions, Search term weighting, and fine-grained adaptation to user Search patterns.

The inovex team also specialises in creating Applications which go beyond traditional Searches. Elasticsearch, for example, can also be used as a high-performance document store, making it an outstanding tool for the real-time analysis of Big Data, such as log files. In this type of project, we often use a technology known as the ‘ELK stack’, which comprises Elasticsearch, Logstash and Kibana. The integration of Search technologies in specific specialist Applications can also provide additional user benefits. Applications in which searching and finding are paramount are known as search-based applications. These are another area in which we specialise.

Text Analytics

Text analytics are closely related to searching. Here, however, finding individual documents is not the focus. Instead, text analytics involves the mechanical extraction of information from a large volume of documents. This information may, for example, include popular topics in social networks, as well as predefined categories or particular characteristics of emails, offers, site reports, audits and other text documents. Our team of data scientists with particular skills in natural language processing (NLP) work closely with data extraction and preparation specialists to create customised solutions. These solutions not only deliver impressive, scientifically sound results, but also integrate seamlessly with your operational systems and processes.

Fokus auf Open-Source-Technologien

We are experts in Open Source Search with Elasticsearch. We can, however, also provide advice on using technologies like Apache Solr and Lucene. For statistical text mining and analysis processes, we use OpenNLP, UIMA or Mlib, depending on the Application. Our Search & Text Analytics team provide design and implementation expertise for every phase of your project. We also provide targeted knowledge transfer via workshops and training. We look forward to taking your search to a new level and to leveraging the full potential of your data capital.

Search Tech Stack
  • Enterprise Search with Lucene, Solr, Elasticsearch
  • Integration with applications and portals
  • Machine data analysis with Elasticsearch, Logstash and Kibana
  • Elasticsearch plugIn development
  • Search-based applications
  • Integration of Solr, Elasticsearch and Hadoop/HBase

Get in touch!

Florian Wilhelm

Head of Data Science, Contact for Data Management & Analytics