Webcast : ER/Studio Enterprise Team Edition
Dataversity | A Balanced Approach to Data Maturity
Presenter: Ron Huizenga
Share This:
Data maturity refers to the level at which an organization incorporates data into its operations and decision-making processes. It is a multi-step process of transitioning a company from data unawareness to data literacy, with organizations finding themselves at different stages of this evolution. To achieve a high level of data maturity, data must be ingrained in the organization and incorporated into all decision-making and practices. The importance of data maturity lies in its ability to help organizations make the most out of their data. Some key reasons data maturity is important include:
- Better decision-making: Organizations with higher data maturity can extract meaningful insights from their data, leading to more informed and effective decision-making.
- Improved efficiency: As organizations climb the data maturity scale, they can streamline their data management processes, resulting in increased operational efficiency.
- Competitive advantage: Companies with higher data maturity are better positioned to leverage their data assets for strategic advantage, enabling them to stay ahead of their competitors.
- Data-driven culture: Achieving higher data maturity fosters a data-driven culture within the organization, where data is valued and used across all levels and functions.
- Risk mitigation: Mature data organizations are more likely to have robust data governance and security measures in place, reducing the risks associated with data breaches and non-compliance penalties.
Most organizations need to awaken to a sobering reality: their data maturity level is much lower than they realize. Organizational maturity is a journey requiring a balanced focus on both data and business process, with checkpoints along the way to ensure you’re on the right path. Ron Huizenga will discuss a continuous improvement approach that balances data and process alignment to achieve breakthrough results for data architecture and governance, using the Data Maturity Model as a benchmark.
Speaker: Ron Huizenga was the Senior Product Manager of Enterprise Architecture and Modeling at IDERA. Ron has over 30 years of business and IT experience across many different industries including manufacturing, retail, healthcare, and transportation. His hands-on consulting experience with large-scale data development engagements provides practical, real-world insights to enterprise data architecture, business architecture, and governance initiatives.
Topics : Data Governance,Data Modeling,Enterprise Architecture,
Products : ER/Studio Enterprise Team Edition,