Level 3 – Shared Service Value Optimization
Data Strategy Goal: Adjust
Data Maturity: Approach to enterprise data management Defined and implemented
IT Builder:
At Level 3, businesses actively use data to inform choices rather than just having it on hand. IT developers play a significant role in enabling the deployment of AI technologies that handle and analyze data at previously unheard-of rates and quantities. By utilizing this capability, you might open up new possibilities for strategic decision-making that go beyond informational data transformation. Artificial Intelligence (AI) offers more profound insights into complex data sets and increases the accuracy and relevance of data-driven decisions. Your engagement is crucial to the seamless integration of developing technologies inside present infrastructures, hence optimizing their strategic effect.
IT Leader:
IT Leaders, particularly CIOs, are accountable for Level 3 optimization of shared services that support essential business goals by using data as the cornerstone. This is the stage where game-changing ideas are identified and put into practice from a range of fields, such as HR technology that boosts productivity and fosters organizational agility. A macro perspective is necessary to identify trends and opportunities to boost productivity and efficiency across services. It is your responsibility to oversee the development and implementation of solutions that integrate and analyze data from many sources using advanced analytics in order to bring about significant change and support strategic goals.
Business Leader:
At this level, business leaders employ data strategically to reduce costs, enhance services, and distribute resources as effectively as feasible. The focus is turning to ensuring that shared services, such as HR and finance, increase employee engagement and productivity while remaining cost-effective. Your support for data-driven decisions becomes more crucial as you battle for the adoption of AI systems that can analyze vast amounts of data to uncover insights that can be put to use. This approach sets a norm for using technology to create competitive advantage and corporate value in addition to meeting urgent business needs.
Data Strategy:
Now that the data strategy has been correctly developed and implemented, your organization is utilizing increasingly sophisticated technologies and practices. The broad use of ETL technologies for effective data integration with CRM systems like Salesforce supports a comprehensive view of customer interactions and business processes. This level generates enterprise-wide reports that inform departmental strategies and performance assessments, ensuring that data back every decision. The clarity of this data strategy ensures trustworthy, consistent data management that supports and advances the broader company plan while also fostering team cohesion.
Assessment Questions:
- Has the organization implemented centralized data governance practices?
- Ensures that data management is uniform and adheres to established standards, which is critical for supporting shared services.
- Are data services shared across different business units?
- Reflects the integration of data strategies across the organization, enhancing operational efficiency and service delivery.
- Is there an ongoing investment in data management tools and technologies?
- Indicates a commitment to continuous improvement in data capabilities, essential for maintaining competitive advantage.
