Evidence-Based Advocacy:-When a facility lead can show a regional director a clear chart showing a shortage of vaccines leading to a drop in immunization, it provides the evidence needed to request more supplies.
User-Friendly Dashboards:-By collecting these “Why-focused” visualizations into a dashboard, we provide a high-level summary that even non-technical stakeholders can understand. This democratizes data, making it useful for clinicians, facility heads, and policy-makers alike.
It’s great to hear from you @Fire! One of the most important aspects of a community of practice is creating a positive and aware culture that helps the practitioners so it is very supportive for the community to see these posts from implementers. 
‘Data-to-Action’ is an essential aspect of DHIS2 implementations, and while the software keeps getting better and the technology advances, raising awareness on these fundamental aspects such as evidence-based advocacy and the importance of having user-friendly dashboards remains of great importance.
Do you think that one of the obstacles and challenges that implementers face would be the lack of ‘Data-to-Action’ culture? How can we in the community of practice support this globally for all the implementers?
Thanks again for the wonderful topic! 
Thank you very much for your thoughtful feedback and encouragement.
I fully agree that the lack of a strong “Data-to-Action” culture remains one of the major challenges faced by implementers. In many settings, data is collected primarily for reporting purposes, but it is not always effectively used to inform decision-making and improve service delivery.
As a community of practice, we can help address this globally by sharing practical experiences, success stories, simple dashboard examples, mentorship opportunities, and continuous learning initiatives. Encouraging stronger collaboration between technical teams and health program staff can also play a key role in strengthening a culture of data use at all levels.
Thank you once again for the insightful discussion and for highlighting the importance of evidence-based advocacy and user-friendly dashboards.
Hi Firehiwot Argawu
This problem occurs as there is not enough awareness of why we should be collecting data. The Information Cycle starts with the determination of what we need to know, NOT how the data collection tools are designed.
1: What do we need to collected and why
2: Design data collection tools
3: Collection and process data (data quality, data capture, data verification)
4: Analysis of data - convert into indicators and measure against set targets
5: Feedback and interpretation done by program managers, not information staff
6: Decisions and actions against planned objectives, goals and targets
RHIS data is based on what a country (province/state/district) wants to achieve in terms of goals and objectives
Health management implements and carries out set action plans for meeting goals etc.
RHIS collects data to measure how progress towards implementing said goals are being achieved.
If your RHIS is not based on measurable goals and objectives and what you collect does not form indicators with targets, then there will be little Data-to-Action taking place.
The need for the input of program managers is crucial so that they guide what is to be collected as well as take ownership of the data being collected for their program. If the program managers do not take ownership, then very little action will occur.
Remember there are other ways to collect data besides overloading the RHIS.
Quote from a colleague who was one of the founders of HISP, namely Arthur Heywood: Computers have transformed information systems from a mountain of paper forms that are never looked at to mountains of data hidden in the cloud and never looked at.
Hope you find something useful
Norah Stoops