Strategic Consulting
We assist companies in creating a clear data-driven strategy that supports business objectives and enables effective data utilization at all organizational levels.
Designing
and Implementing Data-Driven Business Processes
We design and implement business processes that systematically use data to improve decision-making and operations. This includes both operational processes and strategic decisions.
Developing
data culture
We enhance staff data skills and foster a culture where data is actively utilized within the organization.
We provide training and workshops to help staff understand and effectively use data.
Achieving Level 5 (Optimized) signifies becoming an efficiently data-driven organization
Cultural Change in Leadership and Strategic Decision-Making
- Benefits: Data-driven decision-making is deeply embedded in the organizational culture, enabling management to make strategic choices (and communicate these choices) based on information.
- Impact: Improved operations and competitive advantage through operational efficiency and market insights.
Collaboration and Information Sharing
- Benefit: Improved data availability and information reporting/sharing across the organization.
- Impact: Enhanced collaboration and information sharing, leading to more cohesive and informed teams. Management can ensure that lower levels in the organization also focus on the right things.
Data as a Strategic Asset
- Benefit: Data is fully leveraged as a strategic asset. The most important data-based information for the organization is identified and maintained.
- Impact: Maximized value from data investments, driving revenue growth and supporting long-term business goals. Improved data quality and consistency for strategically important data.
Operational Efficiency in Analytics Production and Cost Reduction
- Benefit: Streamlined processes and optimized resource allocation for analytics.
- Impact: Reduced operational costs, increased productivity, and improved resource management through data-driven insights. Opportunity to deepen analytics in selected areas, for example:
- Improved predictive and prescriptive analytics
- Real-time analytics
- Machine learning and self-developing algorithms
Optimized information management is continuous and iterative process
- Information flows upwards within the organization. Management monitors the progress of operations and the achievement of goals using predefined key performance indicators (KPIs) and data analysis. Leadership engages in discussions with lower organizational levels to verify the accuracy and reliability of the reported data.
- There are multiple levels of reporting across and within organizational units (individual employees, supervisors, team leaders, management team, CEO, etc.).
- Management assesses the situation based on the available data: What has happened, what has changed, where are we headed, what actions should be taken, and how will these actions be monitored and measured?
- Management prepares data-driven development plans.
- Management defines and updates, as necessary, the metrics for tracking progress.
- Strategic plans developed by management are communicated and systematically integrated into the daily operations of lower levels.
- The primary role of management is to lead, ensuring that lower levels understand the situation, are committed to developing operations in the desired direction, and are monitoring and managing progress using the agreed KPIs.
- Operations are developed in the desired direction.
- The progress of operations is measured using process indicators, while the outcomes produced by operations are measured using result indicators.
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