This survey seeks to gain information about workflow, data management and reporting at your organization.
A Data Leader for an organization takes ownership for leading the organization toward being data-driven. This role includes helping various departments and staff better understand their systems and their data and how it can inform decision-making. A Database Administrator can fulfill this role, especially if they perform a leadership function for the organization or regularly interact with leadership.
Optimally, data systems and sources are reviewed annually to keep the inventory up-to-date.
For example, the organization works to break down silos between departments and information within departments and encourages working collaboratively to select systems and integrate different systems where appropriate.
Example: Staff are generally able to enter information directly into an appropriate application, there is a minimal amount of information in isolated systems and paper records are seldom used.
Please add any comments you have regarding the Information Management section.
Upfront and continuous training to improve skills on use of systems and analysis of data from those systems is optimal.
The organization maintains central oversight on all sources of data. This includes any systems or personal processes (e.g. spreadsheets) that may be exist alongside any central systems. Data collection forms are developed to ensure that required data is gathered in the correct format, and that a central system serves as a "single source of truth" for the organization.
Data is entered and managed in ways that ensure quality and reliability.
For example: There is an process in place for routinely auditing and "cleaning" data.
Please add any comments you have regarding the Data Collection section.
Example: Health care information under HIPAA, PCI compliance for credit card information, data privacy protections for children, and/or social security numbers or other data, depending on context.
If sensitive information such a Protected Health Information (PHI), credit cards, social security numbers or other confidential information is collected, cybersecurity measures are in place to protect the information.
Important information is backed up and the backups are tested regularly for viability. If data systems are cloud-based, the organization is aware of how data could be accessed and restored in case of an emergency or outage.
Data Governance refers to policies and processes that are established to ensure that data is collected and managed appropriately. Data Governance is generally overseen by the Data Leader or one or more staff members who have explicit responsibility for ensuring that policies are adhered to and modified when necessary.
Add any comments about the Regulations & Compliance section.
Staff are able to access up-to-date data and reports on a self-service basis. Staff do not rely on exports that are generated and then provided in an external format (e.g. Excel).
Example: Information is not isolated in "silos" within each department/application, but is available across departments/applications. Select 5 from the scale if your organization does use not multiple data systems.
Staff have been involved in a process of identifying KPI (key performance indicators) by which their progress in their specific areas can be measured. KPIs are used by staff to track progress as well as indicate when a process may need to change.
Please add any comments you have regarding the Reporting section.
Staff view data as an organizational resource. People responsible for entering data understand the importance of reliable data, and have an understanding of how data fits into the "bigger picture" of the organization's success.
Data Champions are often the "go to" people within a department or area. They are available to support new or struggling staff, and understand that data is an organizational resource that needs to be cultivated.
Leaders and staff engaging in conversations about data and seek to learn and adapt based on insights gained from data. Data insights become a means of conducting "small experiments" to test assumptions or re-engineer existing processes.
How would it help you? How would it help your organization?
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