Components: of a Data-Driven Enterprise
Enablers: for Data-Driven Enterprises
Components: of a Data-Driven Enterprise
Data
Enterprise data architecture design. Identify the right data, its sources (data generation, cleansing and storage), data source prioritization, building data repositories, data collection policies and data warehousing frameworks … etc. Collect timely relevant and trustworthy data and ensure quality, accuracy and completeness.
- Enterprise data architecture design.
- Identify the right data
- its sources (data generation, cleansing and storage)
- data source prioritization
- building data repositories
- data collection policies and data warehousing frameworks
- Collect timely relevant and trustworthy data and ensure quality, accuracy and completeness.
Analytics
Transformation of data into competitive insights. Descriptive, exploratory, inferential, predictive, Causal and Mechanistic analytics. Reporting, alerts.
- Transformation of data into competitive insights.
- descriptive
- exploratory
- inferential
- predictive
- Causal and Mechanistic analytics
- Reporting, alerts.
KPI Design
Set out clear organization strategy and direction to determine top-level data-driven metrics. Define clear and measurable KPIs with visible targets that reflect what the organization is trying to achieve. Result-oriented time-bound KPIs that are measurable through data.
- Set out clear organization strategy and direction to determine top-level data-driven metrics.
- Define clear and measurable KPIs with visible targets that reflect what the organization is trying to achieve.
- Result-oriented time-bound KPIs that are measurable through data.
Decision Making
Transformation from intuition-based decision making to informed decision making. Augment personal experience-based decision making to with data-influence decision making. Stay data-informed and be truly data-driven based on facts. Monitoring trends in key metrics to achieve and improve KPIs. Help you to apply data-informed leadership. Automate part of decision making using predictive models.
- Transformation from intuition-based decision making to informed decision making.
- Augment personal experience-based decision making to with data-influence decision making.
- Stay data-informed and be truly data-driven based on facts.
- Monitoring trends in key metrics to achieve and improve KPIs.
- Help you to apply data-informed leadership.
- Automate part of decision making using predictive models.
Optimization
Enablers: for Data-Driven Enterprises
Infrastructure Development
Technologies and tools
Data-Driven Human Capital
Change management
Promote and disseminate data literacy in the organization. Especially among the senior staff. It has been many years or decades since they took a statistics class and executive coaches and MBA curriculum don’t teach data literacy. It’s all about impact. If you have brilliant insight, did great research and built a magnificent system and no one changes, you get zero credit. Create robust programs and plans to overcome cognitive, data and cultural issues and biases.
- Promote and disseminate data literacy in the organization.
- Especially among the senior staff.
- It has been many years or decades since they took a statistics class and executive coaches and MBA curriculum don’t teach data literacy.
- It’s all about impact.
- If you have brilliant insight, did great research and built a magnificent system and no one changes, you get zero credit.
- Create robust programs and plans to overcome cognitive, data and cultural issues and biases.