In your opinion, BI & Analytics initiatives are typically adopted by financially well-off businesses

In your understanding, BI & Analytics management involves elaborate processes such as cost accounting, balanced scorecard and portfolio management

In your view, BI & Analytics helps establish IT as a business partner and plays an active role in improving business practices

Do you agree that standard reports and dashboards ensure higher quality information is extracted from data sources?

Do you agree that randomly pulled data sets for Analytics are accurate?

Do you agree that only 15% of the analytics project timeline is spent on reconciling data from multiple sources?

Do you believe that the low response-time of BI systems, ensures its efficient and effective usage

Your business has a process and data driven approach to decision-making

Leaders within your organization more often than not rely on data to arrive at decisions

The BI & Analytics practice is well integrated within your organization

Standards and principles do exist in the form of KPIs and dimensions within your BI & Analytics practice

Standards and principles do exist in the areas of management and sourcing, within your BI & Analytics practice

Standards and principles do exist in the areas of development and operations processes within your BI & Analytics practice

Your organization has the required analytics skill sets

Advanced analytical requirements are addressed using existing OLAP tools and software for pro-active analysis, within your organization

BI & Analytics backend systems are centralized and standardized within your organization

Information is integrated seamlessly across departments within your organization

Your organization has well defined processes to identify business opportunities and enable process improvements

BI & Analytics applications are used by your top management

BI & Analytics applications are used by your middle management

BI & Analytics applications are used by your analysts and data scientists

BI & Analytics applications are used by your operations teams

Roles, responsibilities and tasks are clearly defined and documented, within your organization in the context of data quality management

Core business objectives, performance indicators and dimensions are well-defined and consistently updated

Data quality is continuously monitored in order to pro-actively manage data integrity, within a defined service-level agreement (SLA), in your organization