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Searching for Answers, Not Just Information

In this special guest feature, Daniel Fallmann, CEO of Mindbreeze, discusses how businesses are still wasting valuable resources because their employees’ workflow is repeatedly interrupted while they search for the information they need − corporate data that is spread out across different parts of the company. This is exactly where intelligent tools such as insight engines come in, offering an effective solution to optimize internal knowledge management. Daniel founded Mindbreeze in 2005 and as CEO, he is a living example of its demands for quality and innovation. Together with his team, he laid the foundations for the highly scalable and intelligent Mindbreeze InSpire appliance in the company’s early years. His passion for information insight and machine learning in a big data environment inspires both Mindbreeze employees and Mindbreeze customers. “Our mission is to provide the best on the market in terms of content analytics and enterprise search requirements, and we love to keep our customers on the edge of their seats about the latest innovations.”

Companies are unique. Every company has its own special processes, workflows, employees, departments and handles its matters of interest in its own particular ways.

While different companies may have different needs and demands, the core processes of specific departments within them are often very similar.

The Growing Amount of Data

The fact is that as a part of the digital transformation the amount of data companies need to manage is increasing rapidly. Various departments produce enormous amounts of information every day – information that is then processed and stored in different line-of-business applications. The evaluation and analysis of this information is crucial, because it bears the promise of far-reaching knowledge that can help optimize various processes and workflows. In order to be able to use the information obtained as efficiently as possible and apply it to business-relevant decisions, companies need to have a quick way to analyze and find the relevant facts, and structure and evaluate it appropriately.

Businesses are still wasting valuable resources because their employees’ workflow is repeatedly interrupted while they search for the information they need − corporate data that is spread out across different parts of the company. According to a study by IDC, employees spend around 9.6 hours – that’s a whopping 24 percent of their working week − searching for relevant information. Obviously, this is a huge economic burden, but this is not even surprising considering the immense wealth of data and information produced by each individual every single day.

Meeting the current demands of the market and the customer, however, makes it imperative that relevant, necessary, and contextual information is available at any time. This is exactly where intelligent tools such as insight engines come in, offering an effective solution to optimize internal knowledge management.

An insight engine makes it possible for information to be found in a resource-efficient way and makes it available to the user in the right context for the appropriate business case. These systems use methods of artificial intelligence to capture and collect existing corporate knowledge, extract the information, and show correlations between them. As a result they provide the user with a comprehensive overall picture of the company’s knowledge. With this 360-degree view, the user receives a full overview of all business-relevant information about whatever they are looking for, whether it be customers, components, suppliers, processes or tasks. This complete summary of all the company’s knowledge can then be used as a basis for making decisions and determining actions that ensure lasting international competitiveness.

Using Natural Language Processing as well as Natural Language Question Answering, the insight engine is capable of understanding natural language and comprehending textual content, thus correctly determining the user’s needs. In addition, this data is expanded by semantic analysis to include additional information that might be relevant because of its context. Using sophisticated algorithms, an insight engine can align the individual query with queries from the past to display “the” answer instead of endless results

Although these intelligent systems enable rapid and simplified access to company data, the issue of security is still a top priority. For each search query, the insight engine checks access authorization. This means that every employee receives a specific, individual view of the company’s knowledge. The preparation and presentation of the data is tailored precisely to the requirements of each user‘s role and position in the company. Thus, the insight engine can provide support despite the diverse challenges and needs of each different department, employee, and application case.

Insight engines are high-end products with an out-of-the-box character. They can be easily integrated into business processes without the need for an expensive and time-consuming implementation project. Using connectors for the different data sources such as network drives, SAP, Microsoft SharePoint and numerous ECM systems, all company data can be easily and efficiently integrated into the company.

 

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