Management Information System
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1 Management Information System
2 Achievements Annual data entered for 98% schools in FY Monthly data (avg.) entered for 94% schools in FY Availability of database containing valuable micro and macro level data for Financial Year to Availability of offline data entry module for blocks/districts with poor internet connectivity Auto generation of Annual Work Plan & Budget reports Access of crucial reports to users at Centre, State, District and Block for timely intervention Mid Day Meal Scheme, Government of India 2
3 Areas of concern Timely entry of data into portal (Annual, Monthly, Health, Centralized Kitchens/NGOs). Quality of data entry into portal need to be closely monitored Need for utilization of MIS data for monitoring and planning purposes Submission of Annual Work Plan & Budget through MIS Dissemination of MIS data Mid Day Meal Scheme, Government of India 3
4 Annual Data Entry Status: Uttar Pradesh Madhya Pradesh Delhi Gujarat Rajasthan Jammu & Kashmir Goa Chhatisgarh Haryana Himachal Pradesh Daman & Diu Bihar Kerala Maharashtra Uttarakhand Punjab D & N Haveli Chandigarh 67% 69% 73% 86% 88% 88% 89% 94% 95% 97% 98% 4
5 Slow progress :: Districts Chhattisgarh Dantewada (27% ) Narayanpur (41% ) Janjgir - Champa (63% ) Sukma (75% ) Raigarh (76% ) Kawardha (95% ) Delhi Central Delhi (55% ) New Delhi (56% ) North Delhi (67% ) North West Delhi (71% ) South Delhi (71% ) South West Delhi (72% ) North East Delhi (72% ) West Delhi (88% ) East Delhi (91% ) Bihar : (Nawada (86%)) DD: (Diu (93%)) Goa: (North (96%), South Goa (78%)) Mid Day Meal Scheme, Government of India 5
6 Porbandar Gandhinagar Sabar Kantha Botad Bhavnagar Chhotaudepur Morbi Ahmadabad Devbhumi Dwarka Valsad Navsari Tapi Kachchh Gir Somnath Panch Mahals Mahisagar Vadodara Rajkot Surat Mahesana Jamnagar Kheda Slow progress :: Districts of Gujarat % 59% 62% 63% 64% 66% 66% 73% 82% 86% 87% 87% 88% 89% 91% 91% 91% 94% 96% 97% % 32% Mid Day Meal Scheme, Government of India 6
7 Slow progress :: Districts of Haryana 87% % 94% 97% 98% 98% 99% % 4 2 Mid Day Meal Scheme, Government of India 7
8 Slow progress :: Districts of J&K 95% 95% 95% 96% 99% 99% 99% 99% 8 77% 82% 6 59% 62% 62% 64% 4 41% 2 Mid Day Meal Scheme, Government of India 8
9 ASHOKNAGAR DEWAS MANDLA RATLAM DAMOH TIKAMGARH SAGAR KHANDWA DINDORI UMARIA DHAR SHAJAPUR SHIVPURI BHIND UJJAIN SIDHI INDORE ANUPPUR HOSHANGABAD KATNI JHABUA NEEMUCH SATNA AAGAR BHOPAL CHHATARPUR RAISEN RAJGARH SEHORE Slow progress :: Districts of MP % 2 22% 25% 27% 1 1 3% 39% 39% 4 42% 43% 53% 64% 76% 86% 88% 92% 93% 94% 95% 96% 97% Mid Day Meal Scheme, Government of India 9
10 BARABANKI MAINPURI RAMPUR BUDAUN LALITPUR KANNAUJ AGRA BAGHPAT HARDOI MEERUT JAUNPUR MAHARAJGANJ SIDDHARTHNAGAR SONBHADRA CSM NAGAR ALLAHABAD MAHOBA KUSHINAGAR LUCKNOW PRATAPGARH PILIBHIT GHAZIPUR KAUSHAMBI GONDA BULANDSHAHR FIROZABAD BAREILLY MATHURA BALLIA DEORIA SITAPUR ETAH KASHIRAM NAGAR MAU CHANDAULI AZAMGARH BAHRAICH VARANASI HAMIRPUR - U.P. KHERI SULTANPUR BASTI Slow progress :: Districts of UP % 14% 14% 8% 1% 2% 2% 3% 5% 51% 51% 47% 48% 48% % 41% 42% 43% 34% 34% 28% 89% 91% 85% 86% 86% 78% 79% 81% 75% 69% 67% 67% 63% 59% 59% 59% Mid Day Meal Scheme, Government of India 10
11 Rajasthan 8 75% 75% 76% 85% 87% 87% 89% 91% 92% 93% 97% 97% 6 48% 54% 63% 68% % Mid Day Meal Scheme, Government of India 11
12
13 Monthly Data Entry Status (Apr-Sep): Madhya Pradesh Uttar Pradesh Goa Jammu & Kashmir Delhi Gujarat Rajasthan Bihar Chhatisgarh Haryana D & N Haveli Himachal Pradesh Daman & Diu Punjab Maharashtra Kerala Chandigarh Uttarakhand 33% 46% 54% 55% 59% 67% 68% 69% 7 79% 79% 79% 89% 93% 98% 98% Mid Day Meal Scheme, Government of India 13
14 NGO Mapping States No. of NGO Mapped NGO 6% 6% 7% MP % 13% DL 32 2 UP % GJ 8 1 KR % PB 8 3 RJ 7 4 Madhya Pradesh Uttar Pradesh Karnataka Rajasthan Delhi Gujarat Punjab Mid Day Meal Scheme, Government of India 14
15 Analysis of Data..
16 April May June July August Sept. 7% 44% 97% 94% 9 82% Month-wise Data Entry Status: Bihar 69%: Average Monthly Data Entry Bihar (Apr-Sep 2017) 75% 5 25%
17 Month-wise Data Entry Status: Chandigarh April May June July August 99% Sept : Average Monthly Data Entry Chandigarh (Apr-Sep 2017)
18 Month-wise Data Entry Status: Chhattisgarh 87% April May 86% 79% June 7 July 57% August Sept 38% 7: Average Monthly Data Entry Chhattisgarh (Apr-Sep 2017)
19 Month-wise Data Entry Status: D & N Haveli April May June July 76% August Sept 79%: Average Monthly Data Entry Dadra & Nagar Haveli (Apr-Sep 2017)
20 Month-wise Data Entry Status: Daman & Diu 92% April 92% May 89% June 89% July 85% August 85% Sept 89%: Average Monthly Data Entry Daman & Diu (Apr-Sep 2017)
21 Month-wise Data Entry Status: Delhi 69% April 68% May 64% June 6 July 54% August 37% Sept 59%: Average Monthly Data Entry Delhi (Apr-Sep 2017) 5
22 Month-wise Data Entry Status: Himachal Pradesh 94% April 92% May 88% June 82% July 7 August 5 Sept 79%: Average Monthly Data Entry Himachal Pradesh (Apr-Sep 2017)
23 Month-wise Data Entry Status: Goa 68% April 67% May 57% June 57% July 49% August 29% Sept 54%: Average Monthly Data Entry Goa (Apr-Sep 2017)
24 Month-wise Data Entry Status: Gujarat 81% April 8 May 75% June 69% July 59% August 41% Sept 67%: Average Monthly Data Entry Gujarat (Apr-Sep 2017) 5
25 Month-wise Data Entry Status: Haryana 9 April 88% May 87% June 83% July 74% August 5 Sept 79%: Average Monthly Data Entry Haryana (Apr-Sep 2017) 5
26 Month-wise Data Entry Status: Jammu & Kashmir 74% April 69% May 65% June 53% July 42% August 29% Sept 55%: Average Monthly Data Entry Jammu & Kashmir (Apr-Sep 2017) 5
27 Month-wise Data Entry Status: Kerala 99% April 99% May 99% June 99% July 98% August 95% Sept 98%: Average Monthly Data Entry Kerala (Apr-Sep 2017)
28 Month-wise Data Entry Status: Madhya Pradesh 5 April 49% May 41% June July 3 August 19% 7% Sept 33%: Average Monthly Data Entry Madhya Pradesh (Apr-Sep 2017)
29 Month-wise Data Entry Status: Maharashtra April May June 98% July 96% August 92% Sept 98%: Average Monthly Data Entry Maharashtra (Apr-Sep 2017)
30 Month-wise Data Entry Status: Punjab April 97% May 97% June 95% July 9 August 79% Sept 93%: Average Monthly Data Entry Punjab (Apr-Sep 2017)
31 Month-wise Data Entry Status: Uttar Pradesh 55% April 54% May 53% June 47% July 42% August 29% Sept 46%: Average Monthly Data Entry Uttar Pradesh (Apr-Sep 2017)
32 Month-wise Data Entry Status: Uttarakhand April May June July August Sept : Average Monthly Data Entry Uttarakhand (Apr-Sep 2017)
33 Month-wise Data Entry Status: Rajasthan 81% April 77% May 74% June 68% July 61% August 44% Sept 68%: Average Monthly Data Entry Rajasthan (Apr-Sep 2017) 5
34 Comparison of Data: QPR v/s MIS ( )
35 Coverage of Children Uttarakhand 84 Uttar Pradesh Punjab Maharashtra Rajasthan Madhya Pradesh Kerala 75 Jammu & Kashmir Bihar Haryana Chandigarh Dadra & Nagar Haveli Goa Gujarat Chhattisgarh 82 Daman & Diu Delhi 94 Himachal Pradesh Children covered (QPR) Children covered (MIS) Figures denote % coverage of children against enrolment 35
36 Working Days Bihar Rajasthan 89 Uttarakhand Uttar Pradesh Punjab 94 Chandigarh Chhattisgarh 96 Dadra & Nagar Haveli Daman & Diu Maharashtra 99 Madhya Pradesh 94 Kerala Jammu & Kashmir Haryana Working Days (QPR) Delhi 99 Himachal Pradesh Goa Gujarat Working Days (MIS) Figures denote % coverage of children against enrolment 36
37 Utilization of Food Grains QPR MIS Figures denote % Food Grain Utilization 37
38 Utilization of Cooking Cost QPR MIS Figures denote % Cooking Cost Utilization 38
39 Technology intervention is the journey but not destination.
40 A meal to a Child is an offering to the Divinity. Thank you 40 Mid Day Meal Scheme
41 Utilization of Food Grains State QPR MIS Bihar Chandigarh 56 0 Chhattisgarh Dadra & Nagar Haveli Daman & Diu Delhi Himachal Pradesh Goa Gujarat Haryana Jammu & Kashmir Kerala 97 Madhya Pradesh Maharashtra Punjab Uttar Pradesh Uttarakhand Rajasthan Figures denote % Food Grain Utilization
42 Utilization of Cooking Cost State QPR % MIS % Bihar Chandigarh 91 0 Chhattisgarh Dadra & Nagar Haveli Daman & Diu 90 0 Delhi 56 1 Himachal Pradesh Goa Gujarat Haryana Jammu & Kashmir Kerala Madhya Pradesh Maharashtra Punjab Uttar Pradesh Uttarakhand Rajasthan Figures denote % Cooking Cost Utilization
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