A strategic approach to the optimization of your digitization process is absolutely necessary. Only in this way will you remain relevant and be able to focus on your core activities. Our application management services play an important role in reducing the Total Cost of Ownership. We guarantee that your business applications will run optimally and cost-efficiently.
AppLabs is an extension of your IT Department. AppLabs work with a collection of crystallized processes and techniques that enable us to work very efficiently and quickly, this will result in a fast turnaround time, high quality and low costs. You decide which part of the packaging process, which package or service you want to outsource.
For example, only packaging, intake and packaging or the whole software cycle process including software distribution.
All applications are always up-to-date, cyber secure and compliance resistant. If you decide to outsource to the Dilaco AppLabs environment there will be a reducement in costs.
Investment per application package
Investment per application per year
AppLabs Off-site packaging models
Big data analysis through a specialized platform like Splunk can lead to positive business related results, such as new revenue opportunities, better customer service, improved operational efficiency, advantages over competitors, etc.
AIOps helps you to organise your IT Operations by collecting and analyzing data, accelerating root cause analysis and automate remediation. By using this data, you can predict future events and solve problems before they occur. It thus enables your company to proactively manage resources and costs and even achieve dramatic cost savings.
Dilaco provides a scalable and reliable data platform for investigating, monitoring, analyzing and acting on your data.
Finance & Insurance
There is no doubt that financial companies should be able to guarantee the highest level of security to their users. Setting up a good fraud detection system to early identify criminals is an example of a huge challenge. For this purpose, financial companies need algorithms to detect and prevent any deviations in user behavior or ongoing work processes. Think, for example, of alerts for unusual financial purchases for a specific user or large cash withdrawals. A fraud detection system can block these actions until the customer confirms that this is correct.
Starbucks uses data on location, demographics, buying behavior, customer trends, etc. to predict future performance of potential new stores. This reduces the risk of opening a store in an unprofitable location and prevents store failure.
In addition, Starbucks uses customer data for marketing incentives and customer surveys. This results in the delivery of personalized products and offers and increased customer satisfaction.
Hospitals can identify individuals at increased risk of developing chronic conditions as early as possible in the progression of the disease. These hospitals can help patients to avoid long-term health problems very early. This usually reduces the cost for the patient and prevents difficult treatments.
Industry & Logistics
Big data can be measured from sensors connected to production equipment. This can result in early detection of equipment defects and avoid expensive repair costs that could shut down production.
Another example of big data analytics within logistics can be tracing and managing overhead and logistics at multiple locations. Accurately measuring certain costs of work floor tasks helps to reduce labor costs.
In order to avoid duplication of work within the government and to prevent citizens from filling in the same forms every time, pre-completed forms can be provided to speed up processing time and reduce errors in the collected information.
This can be achieved by storing the data in a central location, so that the various government agencies can easily extract the information from a shared pool.