GDPR (General Data Protection Regulation)?

GDPR (General Data Protection Regulation) is a European Union regulation dealing with personal data protection across the common EU market. As the role of digital technologies becomes more important, GDPR intends to create a solid and consistent framework for data protection that will focus on strong enforcement.

GDPR will affect most organizations and will be applied from 25 May 2018. Implementing the requirements will affect existing processes that deal with personal data and in many cases will require adapting information systems.

Organizations which fail to comply with the regulation will be subject to fines of up to EUR 20 million or 4% of global revenue, depending on type of organization.

Are you Getting the Most from Your Data?

The primary purpose of creating a Data Warehouse is to maximize the use of business data for decision support. Data needs to be consolidated and optimized for analytic processing. Our approach to analysis, design and implementation of data warehouses is based both on standard methodologies (such as those provided by the Data Warehousing Institute) and on our experience gathered during numerous projects. Do you use your data in a way that puts you ahead of your competition?

Data Migration

Are historical data significant for your company? Are you delaying the introduction of a new information system to avoid losing them? Do you want you use historical data in your new system but data quality issues are preventing you from doing this? Data migration is an integral part of introducing a new information system. Given the differences between information systems, data migration tends to be a complex process involving transformation between systems, data structures, technologies and formats. Successful data migration requires knowledge of technologies and procedures, data formats and data content, as well as experience in data migration itself. We are prepared to help in this area.

Data Mining

Your data includes a lot of valuable information that can be used to boost the growth of your business. Can you evaluate the information that can be obtained from you data? Can you ask the right questions and get valuable answers?

Every information system contains data processed and used in a variety of ways. Data mining allows us to obtain new knowledge or discover new relationships in your data. Data mining includes many different techniques and procedures to process, cleanse and analyze the initial raw data. Use your data to the fullest extent by discovering hidden relationships in the data.

Data Quality

Data lacking in quality cannot be used to make decisions. The discipline of data quality includes a range of methods, processes and procedures used to resolve data quality issues. With growing data volumes, the task of ensuring data quality becomes ever more important. The best data quality tools will not ensure data quality by themselves. You can make significant improvements in the quality of your data using our expertise in data quality technologies, procedures and methodologies.