Page 69 - Shelter - April 2023

CASE STUDIES

should be specific, updates on the status First, the Cell established
measurable, achievable, of their grievances. A a process for collecting
relevant, and time-bound mandatory outbound and analysing data using
(SMART). For example, call is made to record the appropriate tools and
defining the focus areas applicant’sfeedback and techniques. This involved
of a programme like suggestions. collecting data from multiple
sustainable housing, sources like feedback,
ensuring access to 6. Monitor and evaluate surveys, and administrative
adequate housing for all, the programme: Monitor records besides the existing
creating opportunities and evaluate to ensure grievance dataset. The
for education, welfare the objectives are met. next step was to clean and
schemes, etc. Starting from data organize the data for analysis.
collection, categorization Subsequently, statistical and
2. Identify the stakeholders: of grievances received, analytical techniques were
Identify the target focusing on the response used to identify patterns and
stakeholders who time, geographical trends in the data. Finally,
will be affected by the spread, age group these insights were used for
programme and those concentration, etc., to decision-making as policies
who will be involved in identify a pattern in the were based on evidence and
its implementation. data set. data rather than intuition or
anecdotal evidence.
3. Establish a unit to 7. Communicate results:
design the blueprint: Communicate the results However, data-driven
The MPI&GC is to relevant stakeholders, policymaking also carefully
directly responsible policymakers, and considers privacy, ethics,
for coordinating the citizens to build data quality, and effective
resolution process of transparency and communication and
grievances, identifying accountability. This collaboration among
gaps, introducing policy includes highlighting stakeholders. It is not a one-
prescriptions, and successful initiatives, size-fits-all solution and
developing programmes sharing best practices, is therefore tailored to the
to address the root cause and addressing areas specific needs and goals of the
of the grievances and where improvements are state Government.
create an impact. needed.
The objectives for undertaking
4. Train the team: Train FINDINGS an analytical study of the
all the stakeholders flagship programme are: (i)
responsible for handling Data-driven policy-making is faster distribution of benefits;
grievances to relate to a process of making informed (ii) streamlining of the existing
the overall purpose of decisions based onanalysis processes; (iii) ensuring
achieving the bigger of data. It draws meaningful direct benefit transfer; and
goal. information out of different (iv) documentation and
data sets that have emerged dissemination of success
5. Establish a feedback from the system. In this stories.
mechanism: To allow way it has been helping the
stakeholders and policymakers make informed This data-driven analysis
complainants to receive and evidence-based decisions. involved steps as follows:

April, 2023, Volume 24. No.1 - SHELTER 67