Page 22 - PDI_Report
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Data visualization in PDI - In the presentation of the Indicators in the LIF, Themes & the overall PDI, data
           visualization is extremely important for PDI. From bar charts, graphs, & pie diagrams, the additional use of pictorial,

           infographics, dynamic visuals etc., are essential. Households, hamlets, Gram Panchayat, inter Gram Panchayat, intra-
           block, inter block, inter district, inter State on various aspects are to be presented using tools of data visualization,

           including GIS.
           Analysis  -  Such  huge  data  will  go  to  waste  if  not  properly  utilized  for  presenting  the  status,  comparative

           position, target levels, and various correlations for decision making by the GP. The scores should provide a GP level
           Report Card, giving the PDI, Thematic scores of the GP, best score, Block and District average, State Average. Scores
           of National best, National average can also be presented.

           Indicator  scores  within  Themes,  best  and  worst  indicators,  at  GP  level  and  higher  levels,  showing  action  required
           areas.  For  better  understanding  of  outcomes,  Indicators  are  grouped  under  various  Themes.  For  example,  under
           Healthy village there are identified 4 major outcomes covering maternal health, child health, communicable diseases,
           non-communicable diseases. Under Child friendly village, grouped indicators’ outcomes are on Child survival, child

           development, child protection and child participation.

           Correlations need to be made to GP spending, choices of Sankalp, choice for priority and mandatory indicators for GP
           to work on.

           LIF and PDI can move down to show hamlet and household level in view of the layers that can be put in it, as well as
           the indicators that capture household level features. It can also be used for ensuring that no one is left behind. In this
           context the work in Karnataka under Kutumba and the work in Madhya Pradesh under Samagra may be seen.

           Analysis and evidence can be used for departments better planning of programme interventions and advocacy by the
           PRIs.

           As the PDI exercise will generate huge amounts of data, in the future, we can build programmes to further analyze this
           data, and use of emerging technologies like AI & ML, Big Data Analytics, to get interesting macro and micro insights

           on this data of use for policy making.
           PDI and GPDP - The PDI looks at development as a holistic process and assigns more importance to social,

           economic & environmental indicators, and not just infrastructure indicators. This indicates a paradigm shift away from
           the traditional notion that only budgetary spending can bring about development. A lot of indices like crime-based
           indicators, environment-based indicators, etc. show that simply spending money isn’t enough - where they are spent,

           and also initiative taken by people & local governance bodies are equally and maybe more important.
           Convergence  in  planning  and  action  with  pooling  human,  capital  and  technical  resources  in  an  organised  and
           participatory  manner  at  resource  level  is  a  prerequisite to  achieve  the Targets  within  the  stipulated  time.  The  link

           between LIF, PDI & GPDP needs to be established.

           The baseline data will serve as pointers during panchayat level planning exercises. The use of the MA survey traffic
           lights for the GPDP should be replaced by the LIF and PDI scores. This will not only avoid confusion for the GPs to
           refer to for preparation of GPDP, but also provide the larger spectrum of Indicators and Themes covered by the LIF for
           their GPDP.




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