All Case Studies
Check out all of our customer success stories below
- How ayfie’s personalized search solution helped to enhance the efficiency of a digital workplace.
- Skanska transformed their business by gaining the ability to search all data repositories from a single access point in 14 languages.
After completing a large project to develop an award winning, but static intranet platform in 2015, Skanska decided to improve its past investment by optimizing the diverse data silos with ayfie’s enterprise search and information retrieval platform.
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- How ayfie helped to dramatically improve customer service.
- Storebrand reduced the time to find the information customers needed from 40 seconds to 3 seconds.
Storebrand challenged itself to increase efficiency. They needed to motivate employees to handle a new business environment and provide them with access to all of the necessary information to manage customer requests effectively.
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- How a client processed 5GB data within 48 hours triggered by a DSAR
- Our partner LINEAL had to process a Data Subject Access Request, issued by a client's employee.
Lineal's client had already collected 4.9GB of data and began a review before realising the scope of the request was untenable for their internal team to handle. There were initially over 20,000 documents within the 4.9GB and at the time Lineal was contacted they had a 48-hour deadline to produce to the Data Subject.
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- How to speed up Due Diligence and Litigation with ayfie's text-analytics toolset
- Have you ever heard the expression “buried under paperwork”? That is exactly how M&A teams feel at the beginning of any litigation or Due Diligence exercise.
We understand that starting a process like that can be demotivating because you know it will take time and that you will have to be both strategic and detail-oriented. Read how ayfie strived to cut down the time needed to sift through documents but also maintain the attention for detail required with these processes.
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- Helping HR to find expertise from 100,000+ CVs
- Recruitment agencies and large corporations with thousands of employees hold tens of thousands of CVs in their databases. This is useful so they can find the perfect candidate for a project, team, or available position.
But identifying expertise across immense numbers of CVs is both tedious and time-consuming. Going through every CV in your database to know the competence you have on hand is a difficult and often imperfect task. Another, often overlooked issue is that you don’t know where all the CVs are located in the company’s information silos, which means that there are large parts of the company’s expertise that are unknown to you. This leads to the possibility of missing out on the perfect candidate.
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- Extracting data from image files (CAD files, photos, vector-based drawings)
- Construction companies often face challenges when they need to extract information from technical drawings, especially when they are created in a CAD file format.
With an increase in digitalization and innovation, there has been an equal surge in file programs to pick and choose from. It is now normal to operate, not only with the different programs in the Microsoft office package but also with JP(E)G, PNG, vector-based drawings, and even CAD files. However, problems arise when you have to search for something particular within one of these file formats, as it is as good as impossible when you are not working within the dedicated program. And even if you are, one would still have to be in the exact file containing the information and still have to meticulously search for the information.
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