Independent of your industry, finding the right information is a sound way to relevant decision making and successful businesses.
Raytion has long-standing expertise in implementing company-wide enterprise search solutions at leading multi-national companies and organizations. It offers a full-range of services from consulting, through requirements analysis and planning, to system design and implementation. Other important aspects, such as application integration and deployment, content and security integration for your enterprise search solution are covered as well.
In addition to our services, our products facilitate our project work. Raytion offers the Search and Retrieval Interface, a user interface toolkit for building user-oriented search experiences, Search Analytics and a complete family of Enterprise Search Connectors that complement the product portfolios of search engine vendors.
Today, employees are still confronted with the situation of searching through a vast number of information repositories and systems in an attempt to find the information they need. Questions of whether information is stored in Teams or Slack, in an email, in Wiki or SharePoint arise. Hence, we consider search an important component of the digital workplace. That way efficiently retrieving information from specific systems like SAP, Documentum or Oracle, while respecting the security policies put in place is possible. Moreover, search allows the creation of business applications that faciliate work specifically and can be integrated into work environments, such as into SharePoint, into Wiki or Teams.
In the area of search and enterprise search, the word “integration” can refer to two concepts: on the one hand it represents the content integration (meaning the connection of source systems) and on the other hand it stands for the application integration into the digital workplace as well as your e-commerce platform, and website.
Application integration involves integrating search engine technologies into the existing IT-landscapes and ensuring the seamless interoperability between software components.
Content integration represents a connection between content from similar or dissimilar source systems and the search engines’ indexing of content types. Content integration includes four options: crawlers (for the analysis of web-based content), file traversers (for the connection of file servers), federation of other search engines and connectors.
When searching for documents, it is important to ensure that the search engine does not provide hits for which the user does not have any reading permissions. This aspect becomes particularly important when connecting to and retrieving information from various applications because different security concepts and systems have to be taken into account. There are two approaches for a so-called secure search: The early-binding security trimming und late-binding security trimming.
Integrating content from specific systems like O365, G Suite, Oracle and Documentum, while respecting the security policies of each source system can be a difficult, time-consuming and expensive task for both the customer and system integrator. Although crawlers of enterprise search systems can crawl through repositories and index data, they do not honor the security models of source systems. Furthermore, neither are they able to retrieve unnoticeable metadata nor to detect changes made in the underlying sources systems in real time. Often, the use of crawlers is technically impossible.
Raytion has developed a standard set of enterprise search connectors, which solve two challenges at once. Securely accessing information and detecting changes (such as creation, updates and deletion of content ) in real time from heterogeneous source systems.
Linguistic processing plays an essential role when it comes to retrieving and finding relevant information. Implementing linguistic models does not only improve information retrieval but also the user experience and the search process by automatically taking language-specific features into account and optimizing hit relevance. Moeover, it also helps improving query performance and reducing the index size.
Examples of linguistic processing include localizing search by identifying the language the user is applying, tokenizing and removing stop words. For languages that contain diacritic characters, normalizing characters facilitates the search. Another important aspect is stemming in order to retrieve documents that contain words with the same stem. Further examples involve identifying related words using lemmatization or creating synonym dictionaries. Just like the implementation of spell-checking techniques to avoid typographical errors, the named entity extraction is crucial as well, so that the search engine can differentiate between ordinary words and company names for example.
In order to implement an enterprise search project that manages a large number of documents, petabytes of data and several thousand users, some aspects must be put into consideration. When designing the system architecture, aspects like server sizing, the index size, the index speed and latency, queries per second, load balancing and scaling security information regarding access rights and fault tolerance come into play.
The Search Interface
Reducing the time it takes for a user to interact with a system and to find relevant information can help businesses and organizations to gain revenue. In the area of e-commerce solutions you can measure a direct impact on the conversion rates. Moreover, saving time can improve productivity and support the process of decision making.
Query-sided design and usability includes guiding the user query by numerous aspects, such as autocomplete, spell checks, “did you mean?” search support as well as simple and advanced search options.
A suitable result list usability is about guiding the user towards easily finding relevant information from a set of returned results. Furthermore, examples of result list usability include faceted search, document summaries and the display of document metadata.
Other usability aspects involve embedding the search interface into existing enterprise systems or websites and adapting the search interface to corporate design policies and guidelines.
A search solution, as well as the digital workplace, has to be customized according to users’ requirements over time. A successful search depends on a continous optimization of functionality in addition to modern technologies, such as machine learning or bots.
In order to understand which use cases are indispensable for users, we rely on both our customers and search analytics in addition to classic approaches such as persona analysis. On the one hand, Raytion Search Analytics is a collection of optimization processes and tools for the visualization of important parameters, on the other hand it is a compilation for the generation of KPIs. Whether at the digital workplace, in the e-commerce environment or when searching for websites – with Raytion Search Analytics we understand user group goals.
Raytion Search Analytics includes reports that detail and analyze user actions. Examples include searched queries, query reformulations, queries returning zero hits that are shown together with the hits. In the same way, search support such as “did you mean?”, spelling corrections, autocomplete or advanced searches are listed.
A successful digital workplace depends on the combination of solid platform technologies, the expertise of consulting and implementation partners. The same is true for the best internet platforms and e-commerce solutions. Thus, we have been relying on strong partnerships to advance your projects for 20 years now.
- Amazon Kendra
- Apache Solr
- Attivio Intelligence Engine (AIE)
- Dassault Systèmes Exalead CloudView
- Elastic Elasticsearch
- Google Cloud Search
- Google Search Appliance (GSA)
- Lucidworks Fusion
- Microsoft Azure Search
- Microsoft FAST Enterprise Search Platform (ESP)
- Microsoft FAST Search Server 2010 for SharePoint (FS4SP)
- Microsoft Search (Office 365)
- Microsoft SharePoint 2013 / 2016 / 2019 Search
- Sinequa Enterprise Search