Page 20 - PDI Vol 2
P. 20

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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