Get your data strategy, governance, and management aligned with your business needs to set the direction for data driven transformation.
It is widely recognized that data driven transformation starts from unleashing the value of data. Many organizations aspire to develop their data management capabilities by bringing in new tools to share data and enable e.g., data wrangling and machine learning. But are these investments aligned with business strategy?
Our data experts help you leverage data to grow your business. Together we set the path for you to truly become a data literate organization. We advise and help to evolve your skills and data capabilities, data governance, and technologies. You can concentrate on new development and innovations, as data requirements are seamlessly embedded in development and operations.
A shared data vision across your organization helps you to ensure data quality and data governance processes. A good alignment between data strategy and business strategy secures top management’s attention and the development of data governance processes. As your strategic advisors, we make sure that you can rely on your data, and that your data landscape supports your business goals both now and in the future.
Head of Data Management, Tietoevry Tech Services
Fit-for-purpose data helps you achieve your business goals. It enables faster decisions, accelerates time to market, and increases revenues.
Reliable data quality and data availability result in improved employee performance and reduced costs of everyday operations.
Systematic data security and data compliance through data governance processes help to prevent risks of financial sanctions and damages to reputation. We help you keep up with data requirements.
Our experienced data consultants support you throughout the data strategy process. Align your data vision and data strategy with your business objectives. Harness your data to reach business objectives. By assessing your current data management capabilities, we identify improvement areas and reveal your data use case potential. We help you prioritize and establish an execution roadmap with concrete measurements and follow-up.
We help you implement a data governance model that addresses your data management needs. This will improve data control and consistency across your organization. Our experienced advisors help you in defining and implementing data roles and responsibilities, change management, training, and communication. Leverage data principles, policies, and guidelines for sustainable data governance and to cover GDPR and other relevant regulations.
We assess your data management and analytics capabilities both on-premises and in the cloud. Get a thorough understanding of your data management strengths and weaknesses, recommendations, and benchmarking to peer organizations. Our assessors are certified by the EDM Council® in Data Management Capabilities Assessment Model (DCAM®) and Cloud Data Management Capabilities (CDMC™) frameworks. We also provide training by our certified trainers.
Metadata – both business and technical and interlinking, and their availability through a catalogue – are primary enablers of managed data and cloud transition. We can assist you in all aspects of metadata strategy. It is important to understand your data assets and the characteristics that determine how the data items can or must be handled. We help to facilitate the correct use of data and drive automation.
An organization’s data estate is vast, and models are your map. Dividing your data estate into data domains will guide your governance execution. The models will bring visibility, conceptual clarity, and understanding to those domains and how they interact. Whether your aim is to obtain models to aid governance or detailed ontologies, we can support you.
People often speak about “Bad Data Quality” but they rarely follow-up and define what would make data quality “good”. We help you develop your Data Quality Framework and align it to your Data Governance: standards, rules, controls as metadata, measuring, issue handling, and reporting. Embed data quality in your operations.