Lean software, agile solutions
We turn information into genuine knowledge
Business Intelligence can be described as a data gathering process. It comprises of data collection, analysis, interpretation and focuses on constant monitoring of its’ quality and efficiency. Through data processing we deliver highly precise information to our clients. The acquired complex knowledge consistently allows us to recommend the most optimal, actionable business operations. The whole process supports better business decision making.
What have we delivered so far?
We have designed data warehouses from the scratch including, reports and analysis in many system areas.
Thanks to this experience, Pragmasoft can effortlessly choose and implement the specific and suitable technologies in accordance with our customers’ requirements. At the same time we ensure that the client organizations benefit from the process, gain competitive advantage and flexibility, having being enriched with the new possibilities of shaping and monitoring their growth. We are highly capable of handling large amounts of both structured and unstructured data in order to inform new strategic business opportunities.
Understanding business needs
During the process of designing tailor made software we always do our best to thoroughly understand the business needs of our clients. On that grounds we accommodate the customer’s particular preferences and expectations and analyse the objectives set for the particular software system. We choose from a range of technological applications, only the one that will produce the best alignment with the client’s business operations. As a result the best targeted service is provided, ensuring a very close link between features, functions and business requirements.
CLOSE CUSTOMER COLLABORATION
The key to agile, highly effective creation of every project is the close cooperation of our team (testers, developers, UX designers, product owner and SCRUM masters) and the buyer. From setting up goals and defining problems to after deployment support we are close partners sharing experience and knowledge in order to gain the most valuable product.
Areas of experience
We are experienced in many fields such as security, banking, education, logistics, data integration and data analysis. We develop mobile and web applications as well as transactional systems.
What is machine Learning?
Machine Learning constitutes the art of a problem understanding. This is the analysis of a learning processes based on data selection and the best optimal choice model.
The appropriate dataset preparation concurrently with business context exploration contribute towards the machine project learning success. That is the reason why we do pay particular attention at this stage. We design automatic, autonomous systems that continuously self-improve utilising the data that had been previously gathered.
What can you gain?
The enormous potential of Machine
Learning utilization captures our interest and makes us engaged in various projects from different domains. We design highly efficient models that empower our clients to meet their business objectives. Let us discuss your workflows and processes finding best place to utilize this new powerful technology in areas like: risk scoring, improved business decision making, customer segmentation or simply process automation.
Human Centered Design
While working on a product we utilize a human centered design that focuses on the user. Our team treats the client’s business requirements as a basis for designing the product concept.
The first stage of the design process begins with research and users’ feedback. In the next stages of development more advanced prototypes and mock ups are designed. At every stage of the process the tools employed are aligned with the precise requirements and objectives set.
During the design and implementation process we pay considerable attention to multiple product testing involving the user. The usability/functionality testing is embedded in every phase of a project development. Not only do they allow to spot errors earlier but also facilitate in-depth understanding of the users’ needs and behaviours.