Data strategy
By building the right data strategy, we ensure that the data stored in the organization effectively supports the achievement of our business goals. We provide both consulting and implementation services. Our data recovery consultancy services include the planning of property data utilitization strategy, the review and reconsideration of the data processing and analysis solutions, and we also offer architecture management services. Our data management expert services supported with IT solutions include architecture development, data quality management, data security management, meta and master data management. Our integrated IT solutions include data integration, data processing and data analysis solutions, making the data available and usable. Feedback is part of the data strategy development: we check the improvement of the company’s operational efficiency based on the data analysis, and with our BPR / process automation solutions we ensure long-term successful operation of the strategy.
Why Stratis?
Our experts have extensive consulting and development experience in the field of integrated solutions such as recommendation systems, translation engine and text analysis for foreign languages, fraud detection, and data quality control and data cleaning systems.
BI / DWH
Data from the different systems operating at the company become accessible in an integrated and comparable way, therefore the availability of business data improves, and the analytical capabilities become available in a wider range within the company. Our methodology, processes and templates designed for the plannning and development of data warehouse and business intelligence solutions are available to support the execution of implementation projects efficiently. Surveying and planning tasks are carried out along with the business objectives so that the results that actually generate business profit are realized as quick as possible and incorporated into day-to-day operations.
Why Stratis?
Our development team is familiar with a variety of data warehouse technologies, therefore the solution is implemented in a technical environment tailored to the infrastructure needs of our customers (eg, Oracle, Microsoft devices). We work with tried-and-tested methodologies, templates, and processes that are customized for our clients.
Data migration, data quality
After data quality assessment, data is prepared, cleaned, transformed to a unified data structure, and if necessary, data enrichment is performed. Consolidated data is integrated into the target system. Through our services, we provide a set of tools and target software for our clients, with solutions that allow long-term maintanence of data quality, thereby helping to minimize client spend.
Why Stratis?
Accumulated the experience of several decades, having proper methodological knowledge and practical experience, our accustomed expert team executes the consolidation and unification of fragmented records and registers. We have demonstrated our expertise in several major projects, resulting in satisfied customers.
Data science
Data is the new oil – holds the common saying.
Indeed, in the next decade one of the most prominent drivers of development for companies is the explosive growth of data and the more intensive use of it. This is enabled by the latest technologies, artificial intelligence, machine learning, data mining tools, and Big Data’s professional and innovative application.
Having a wide range of experience, our experts help our customers to make cutting edge solutions available and tangible, providing our customers with the tools and methodologies they need to exploit the enormous potential of the data world.
Whether it’s a complete data-driven digital transformation or a single specific analysis problem, we can help our customers with the right methodologies, tools, and experience, no matter of their maturity regarding the data analysis.
Our cooperation covers consulting, planning, and even implementation and technical support.
Why Stratis?
Our extensive industry know-how and our business approach makes it possible to look behind the numbers and reveal the underlying economic challenge, customer demand, and to create real value.