QviData Analytics Solutions
Big data for better business decisions, customer value management, risk and profitability management, Datawarehouse, Business Intelligence, Artificial Intelligence &Modeling and Complex Event Processing solutions and productions.
Data Analysis Solutions,
Big Data, Data Warehouse, Artificial Intelligence, Business Intelligence
QviData is a technology company that provides engineering services to corporate infrastructures with a focus on data sciences. It provides solutions for the companies about data warehouse, analytical-modeling-decision support systems, big data and data mining.
Data Warehouse Engineering Services
Developing a data warehouse (DW) is a complex, time-consuming and specialized process. In the last few years, different data warehouse models and methods have been presented. However, none of them handles the development process in an integrated way.
Database Engineering Services
Our expert engineers design and build the most appropriate data management system for your organization.
Data Sciences & Analytical Engineering Services
Data Science is a field that deals with structured and unstructured data, including data cleanup, data preparation, data analysis etc.
Analytical Engineering Service
Qvi data offers inspection and analytical
engineering services to a variety of sectors
including finance, chemical, investment,
healthcare, sales and marketing etc.
New Generation Technology
QviData produces solutions for data world, data warehouse, analytical-modeling-decision support systems, big data and data mining. It synchronizes the technological infrastructures of the enterprises with the quality team, leadership, consulting and new technologies with the right tools.
QviData for finance and investment
Be ahead of global volatility. Financial professionals know in advance about market movements and events with QviData.
In this way, they achieve sharper predictions, better opportunities and more profitable decisions. Helps discover differentiated content.
QviData in health sector
It is possible to find best matched patients in minutes instead of months for clinical trials with artificial intelligence applications. Predictive models are created to reduce the drug production process. Models are created for a more accurate diagnosis of personalized care processes and diseases.
Sales and marketing with QviData
Automate your sales tasks with the Artificial Intelligence assistant. Provides foresight to improve public relations performance. Customer shopping models are created and the user's experience is optimized.
QviData for enterprise security
Protect your people and assets in your world. It provides an early warning system for real-time threats to personnel, facilities, operations and interests worldwide. Thus, security teams can respond quickly and effectively.
Business intelligence, artificial intelligence and modeling
With business intelligence and artificial intelligence applications, It is possible to find solutions to predict problems encountered in enterprises and to take early measures, automate industrial-grade vehicles for more efficient operations, estimate asset failure and maintenance.
Big data and
data mining
Data mining is especialy implemented by consumer oriented companies for the purposes such as "measurement" and pricing of transactional data, customer preferences and product positioning, impact on sales, customer satisfaction and company profits etc.
Data and analysis solutions that guide the digital era
Data Strategy
QviData helps you make the most of your investment. It ensures that your big data is correctly arranged and routed.
Database Engineering Services
Database engineering is the process of creating a database management system. We ensure you that the most accurate database architecture and platform for your business will be created.
Training Services
Improve your team's capabilities with QviData training. Be aware of current technology and systems.
Data Warehouse Engineering Services
Data warehouse is one of the most important elements of business intelligence. It organizes all different data analysis and data reporting formats.
Data Sciences & Analytical Services
Data Science is a field that deals with structured and unstructured data, including data cleanup, preparation and analysis etc.
Technical Support & Maintenance
Keep your data safe and available while optimizing backup and recovery performance. Reduce your risk of data loss.
Data mining is the process of finding anomalies, patterns and correlations within big datasets to predict results. By using a wide variety of techniques, you can use this information to increase your revenues, reduce costs, improve customer relationships, reduce risks, and more.
WHAT IS DATA MINING?
Data quality is the perception or evaluation of the availability of data to serve its purpose in a particular context. The quality of the data is determined by factors such as accuracy, completeness, reliability, relevance and up-to-date.
WHAT IS DATA QUALITY?
Business intelligence is the technology infrastructure used to get maximum information from existing data in order to improve business processes. A typical BI (Business Intelligence) infrastructure is software solutions for data gathering, cleaning, combining, analyzing and sharing. Business Intelligence provides credible information to help you make effective and quality business decisions.
WHAT IS BUSINESS INTELLIGENCE?
Big Data refers to a large amount of data that cannot be effectively processed with existing traditional applications. The processing of Big Data begins with the collection of raw data, which is impossible to store in the memory of a single computer.
WHAT IS BIG DATA?
Data security refers to protective digital privacy measures to prevent unauthorized access to computers, databases, and websites. Data security also prevents data corruption or damage. Data security is an important part of IT for organizations of all sizes and types. Data security is also known as information security (IS) or computer security.
WHAT IS DATA SECURITY?
Data Science is a field that deals with structured and unstructured data, including data cleanup, preparation and analysis.