Data as a Service (DaaS)

Having data is not everything, it also needs to be skilfully processed. We provide DaaS for our clients – Data as a Service, allowing for the data analysis and drilling implementation in order to make the best decisions. In the Data as a service model, data is a product that is available to the user regardless of his location or hardware requirements. Modern solutions, e.g. as part of Oracle Cloud or Microsoft Azure, allow for quick processing of huge information stacks that are stored in the cloud.

At summ-it, we know that transparent data visualization in real time and flexibility in obtaining various answers are crucial for you.

Flexibility, and modifications as desired

Cost effectiveness

High reputation of the data provided

Data as a service – when is it worth it?

 

If your company acquires and uses large data sets, you are surely aware of the importance of their fast processing and unlimited access. The issue of their reliability and integrity is no less important. Finally, data as a service also offers huge infrastructure savings, because it requires no software installation on the recipient’s devices.

As much as software users have known the SaaS model for some time, DaaS is just breaking through to the general consciousness. This is due to the fact that cloud systems were not primarily designed to handle and analyse a huge number of queries directed to huge data sets. Currently, however, thanks to the increased possibilities or advancement of work on bandwidth, it can collect and process data based on cloud solutions without having specialized knowledge and expensive infrastructure.

Your company should use Data as a Service if:

  • it wants to gain access to data regardless of place and time,
  • it wants clear reports,
  • it wants its every department to make decisions based on data,
  • it wants to be a modern knowledge-based company,
  • it wants an infrastructure with any scalability possibilities.

 

Why is it worth to entrust the implementation of Data as a Service to summ-it?

There are several basic stages of DaaS implementation. The first is the choice of a given service provider, the second is the registration and activation of the service, data transfer and implementation. summ-it will support you at each of these stages in any range – from consulting on the selection of the optimal platform for the needs of the platform, to the trouble-free migration of the database with particular emphasis on the security of such an operation. Based on our extensive experience in building such systems from scratch within enterprises, we can also assist you in determining what you need or can get from such a service and what you may not be aware of.

+250

database systems implementations

+50

certified IT specialists

9000

databases supported

What do you gain from Data as a Service?

Szybkość wdrożenia usługi

Zwiększoną elastyczność działań

Oszczędność kosztów

Prostą konserwację i zmniejszone wymagania wobec obsługujących

Advantages of DaaS

By using Data as a Service, any type of company or institution can start collecting and processing the information they need almost immediately. This allows for faster business decision making, which is especially needed in highly competitive industries. Easy access to data allows you to improve the activities of each department and look for process optimization areas. HR, Marketing, Trade, Production, Distribution, online and offline activities – all of them will benefit from DaaS.

Data as a Service allows for significant savings in several aspects. First, the end user does not require specialization in the data management area. The interface within the DaaS system is user-friendly, and provides real-time data, regardless of the size of the database. In addition, you do not need to maintain local infrastructure that is expensive to buy and maintain, because the data is stored in the cloud.

The cloud infrastructure is also less prone to malfunctions and usually offers more stable parameters regardless of the the end user’s device. The said user does not need to have advanced competences in the tool’s usage. It is also worth remembering that issues of updating the service are the responsibility of the provider, not the user.

DaaS handling challenges

Data supported by Data as a Service systems are not stored on local devices, but in the cloud. Their transfer to the network and the issue of securing data against loss or unauthorized recipients is therefore the responsibility of the service provider. That is why it is so important, for example, to encrypt data during transfers and other security methods. It is also extremely important to choose a platform that allows integration with the company’s current resources.

Each service provider of DaaS systems has an integration pool that will more or less fit for example to the reporting environment that has been used within a given company so far. This is not a barrier, but it is worth realizing that our experience in implementing Data as a service allows us to adapt our client’s expectations to the systems so as to avoid surprises and, for example, conducting makeshift adaptations to business needs later on.

Meet clients with whom we reach the peak together

Our work covers issues ranging from analysis, system design, and ETL process design and execution, and data aggregation in the warehouse, to reporting.

Anna Minkisiewicz
Executive Assistant

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