The ability to use data is vital. It is critical to a transformation process that will enable a company to successfully position itself and assert itself in a highly dynamic, data-driven world. A basic prerequisite for exercising such an ability is properly functioning data management.
By data management we mean all conceptual, methodical, technical and organizational measures that serve to efficiently manage, protect and profitably use data. These include disciplines such as data governance, data architecture, data quality, master data management, data warehousing and data security.
The image of data management – formerly a hidden process in the dark basements of the IT department – has changed dramatically in recent years. The professional and technical relevance of data management is constantly increasing, especially when it comes to making trustworthy and correct data usable for BI and analytics. As a result, the relevance of data management in corporate strategy is increasing. Data has become a strategic asset. And a strategic asset must be efficiently maintained.
In the fifth edition of The Data Management Survey, we have extended our focus beyond BI to cover data & analytics and all tools that help to monetize data. This embraces BI, data management and analytics capabilities in operational systems, exploratory environments (e.g., data lakes) for advanced analytics as well as a holistic view of company data with regard to strategic tasks (e.g., data strategy). Each of these areas has its own specifics in terms of data types, technologies, methods and architectures as well as required skills and personnel resources.
Data management tasks for BI and data warehousing focus on data integration, data preparation and data modeling as well as data storage and provision for reporting, analysis and planning. Today’s BI architectures and technologies have to be able to keep pace with ever more dynamic requirements and growing complexity in the area of data processing and systems. Often there is no way around fundamental modernization.
In this article you will discover:
a head-to-head-comparison where you can see how the featured products stack up against each other
the most important lessons learned from surveying hundreds of respondents about data management software usage and selection.