Level 2 – Strategy for Value Delivery
Data Strategy Goal: Activate
Data Maturity: Developing an approach to enterprise data management
IT Builder:
As organizations get increasingly data-aware, IT Builders play a critical role in integrating cutting-edge technologies like artificial intelligence into the organizational structure at Level 2. You must develop AI-powered solutions that enhance decision-making skills in addition to data management and archiving. Rather than replacing human judgment with AI, a symbiotic relationship between technology and team may be established by employing AI as a decision-support tool. This fosters an environment in which data can uncover complex patterns and anticipated insights. IT delivery is transformed from traditional methods to more dynamic, data-driven processes through the application of this strategic strategy.
IT Leader:
Using data-driven insights, Level 2 of the model aims to improve the way IT services are provided to IT and business leaders. When you start integrating technologies like cloud infrastructures, it becomes imperative to use data holistically, from user interactions to cost-efficiency assessments and performance metrics. By employing technologies that aggregate and present this data, you may make well-informed strategic judgments. By aligning IT strategy with the broader business objectives, you can ensure that IT initiatives not only support but also advance the firm. You need to use data in this phase to identify areas where IT can make the most difference if you want to increase your organization’s competitive edge.
Business Leader:
Business leaders are aware of the significance of data in the decision-making process at this stage. You now have the opportunity to enable the use of technology and data augmentation tools, such as artificial intelligence (AI), to enhance human intelligence and foster cooperation. Encouraging solutions that offer advice and insights enables your teams to incorporate AI systems more thoroughly, boosting output and coordinating strategic efforts. It will need your leadership to establish a culture that values data-driven insights and makes data an essential part of operational efficiency and strategic planning.
Data Strategy:
The Data Strategy is beginning to take shape at Level 2. It is usually exhibited through well-focused team undertakings or endeavors led by motivating leaders. To better manage the growing data streams at this stage, you might need to create or enhance data processes. By utilizing tools like Tableau for data visualization and SQL databases for structured data storage, you may start to build core data skills. These tools make it easier to create departmental dashboards that enhance insight clarity and promote data interpretation that makes sense. The development of an effective data strategy at this stage helps to clarify the role that data plays within the organization and moves data efforts closer to the objectives of the business. With this expanding strategy, it’s critical to set the stage for increasingly sophisticated data integration and utilization throughout the whole organization.
Assessment Questions:
- Is there a defined data strategy that aligns with the business objectives?
- Are there initiatives in place to improve data quality and accessibility?
- Reflects on efforts to enhance the utility and reliability of data as a strategic asset.
- Is the organization beginning to break down data silos?
- Addresses the crucial task of integrating data sources to ensure a unified approach to data management.
- This question prompts organizations to consider how well their data initiatives support overarching business goals.
