{"id":4722,"date":"2026-09-15T10:04:11","date_gmt":"2026-09-15T10:04:11","guid":{"rendered":"https:\/\/indietimescoverage.news\/?p=4722"},"modified":"2026-09-15T10:04:23","modified_gmt":"2026-09-15T10:04:23","slug":"from-data-to-policy-decisions-building-an-evidence-based-data-ecosystem-for-uttar-pradesh","status":"publish","type":"post","link":"https:\/\/indietimescoverage.news\/index.php\/2026\/09\/15\/from-data-to-policy-decisions-building-an-evidence-based-data-ecosystem-for-uttar-pradesh\/","title":{"rendered":"From Data to Policy Decisions: Building an Evidence Based\u00a0 Data Ecosystem for Uttar Pradesh"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>&nbsp;Data is often described in numbers, dashboards, indicators and databases. But behind every number is a person, a family, a village, a school, a hospital and a life that is touched by a government decision. It is this human dimension of data that came alive during the workshop on<\/em> <strong><em>Data Landscape and Data Harmonisation<\/em><\/strong><em>, organised by the<\/em> <strong><em>State Transformation Commission, Uttar Pradesh, in collaboration with the Indian School of Business (ISB)<\/em><\/strong><em>.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The two-day workshop organised in Lucknow brought together perspectives, experiences and ideas around one of the most important enablers of effective governance: reliable, comparable and meaningful data. Experts shared that for a state as large and diverse as Uttar Pradesh, data is generated every day across departments, districts and programmes. Yet, the real value of this vast data landscape emerges only when different pieces can speak to each other.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With over 100 officials, and&nbsp; as many as 36 departments, six thematic Knowledge Caf\u00e9 tables attending the two day workshop, issues related to data duplication, inconsistent definitions, manual processes, interoperability challenges were discussed. Deliberations also touched upon the proposed State Data Authority\/data architecture direction. An important aspect that also emerged here was the need for gender disaggregated data which would require each data piece to be viewed with a gender lens.&nbsp; &nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Dr. Aarushi Jain, Director, Bharti Institute of Public Policy, Indian School of Business<\/strong>, leading the workshop said, \u201cData harmonisation is not simply about bringing datasets together; it is about creating an evidence infrastructure that enables governments to learn, adapt and make better decisions. The real value of data lies in its ability to strengthen implementation and ultimately improve outcomes for citizens. The workshop with the Government of Uttar Pradesh is an important step towards building a more integrated, interoperable and decision-oriented data ecosystem for the State.\u201d&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A fact that most participants agreed upon and stressed that Data harmonisation is not merely a technical exercise. It is about creating a common understanding. It is about ensuring that when two departments talk about a household, a school, a farmer or a health facility, they are able to do so using information that is consistent, credible and comparable. Predictably, such alignment can help decision-makers see the bigger picture rather than isolated fragments.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The discussions at the workshop also reinforced a simple but powerful idea: <strong>better data can lead to better decisions, but only when it is connected to real human needs.<\/strong> A well-designed data system can help identify which children need greater support, where healthcare gaps exist, which communities remain underserved, and where public resources can make the greatest difference.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Additionally the collaboration between the <strong>State Transformation Commission<\/strong> and <strong>ISB<\/strong> reflected the importance of bringing policy, administration, technology and academic expertise together. Data, if collected accurately, creates a space not only to understand the existing data landscape, but also to imagine how it can evolve into a more integrated, responsive and future-ready ecosystem. Ultimately, the objective is not to collect more data for the sake of collecting data. It is to make the data we already have more useful, more trustworthy and more accessible for informed action.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp;Data is often described in numbers, dashboards, indicators and databases. But behind every number is a person, a family, a village, a school, a hospital and a life that is touched by a government decision. It is this human dimension of data that came alive during the workshop on Data Landscape and Data Harmonisation, organised by the State Transformation Commission, Uttar Pradesh, in collaboration with the Indian School of Business (ISB). The two-day workshop organised in Lucknow brought together perspectives, experiences and ideas around one of the most important enablers of effective governance: reliable, comparable and meaningful data. Experts shared that for a state as large and diverse as Uttar Pradesh, data is generated every day across departments, districts and programmes. Yet, the real value of this vast data landscape emerges only when different pieces can speak to each other. With over 100 officials, and&nbsp; as many as 36 departments, six thematic Knowledge Caf\u00e9 tables attending the two day workshop, issues related to data duplication, inconsistent definitions, manual processes, interoperability challenges were discussed. Deliberations also touched upon the proposed State Data Authority\/data architecture direction. An important aspect that also emerged here was the need for gender disaggregated data which would require each data piece to be viewed with a gender lens.&nbsp; &nbsp; Dr. Aarushi Jain, Director, Bharti Institute of Public Policy, Indian School of Business, leading the workshop said, \u201cData harmonisation is not simply about bringing datasets together; it is about creating an evidence infrastructure that enables governments to learn, adapt and make better decisions. The real value of data lies in its ability to strengthen implementation and ultimately improve outcomes for citizens. The workshop with the Government of Uttar Pradesh is an important step towards building a more integrated, interoperable and decision-oriented data ecosystem for the State.\u201d&nbsp; A fact that most participants agreed upon and stressed that Data harmonisation is not merely a technical exercise. It is about creating a common understanding. It is about ensuring that when two departments talk about a household, a school, a farmer or a health facility, they are able to do so using information that is consistent, credible and comparable. Predictably, such alignment can help decision-makers see the bigger picture rather than isolated fragments. The discussions at the workshop also reinforced a simple but powerful idea: better data can lead to better decisions, but only when it is connected to real human needs. A well-designed data system can help identify which children need greater support, where healthcare gaps exist, which communities remain underserved, and where public resources can make the greatest difference. Additionally the collaboration between the State Transformation Commission and ISB reflected the importance of bringing policy, administration, technology and academic expertise together. Data, if collected accurately, creates a space not only to understand the existing data landscape, but also to imagine how it can evolve into a more integrated, responsive and future-ready ecosystem. Ultimately, the objective is not to collect more data for the sake of collecting data. It is to make the data we already have more useful, more trustworthy and more accessible for informed action.<\/p>\n","protected":false},"author":2,"featured_media":4723,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4722","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>From Data to Policy Decisions: Building an Evidence Based\u00a0 Data Ecosystem for Uttar Pradesh - indietimescoverage<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/indietimescoverage.news\/index.php\/2026\/09\/15\/from-data-to-policy-decisions-building-an-evidence-based-data-ecosystem-for-uttar-pradesh\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"From Data to Policy Decisions: Building an Evidence Based\u00a0 Data Ecosystem for Uttar Pradesh - indietimescoverage\" \/>\n<meta property=\"og:description\" content=\"&nbsp;Data is often described in numbers, dashboards, indicators and databases. But behind every number is a person, a family, a village, a school, a hospital and a life that is touched by a government decision. It is this human dimension of data that came alive during the workshop on Data Landscape and Data Harmonisation, organised by the State Transformation Commission, Uttar Pradesh, in collaboration with the Indian School of Business (ISB). The two-day workshop organised in Lucknow brought together perspectives, experiences and ideas around one of the most important enablers of effective governance: reliable, comparable and meaningful data. Experts shared that for a state as large and diverse as Uttar Pradesh, data is generated every day across departments, districts and programmes. Yet, the real value of this vast data landscape emerges only when different pieces can speak to each other. With over 100 officials, and&nbsp; as many as 36 departments, six thematic Knowledge Caf\u00e9 tables attending the two day workshop, issues related to data duplication, inconsistent definitions, manual processes, interoperability challenges were discussed. Deliberations also touched upon the proposed State Data Authority\/data architecture direction. An important aspect that also emerged here was the need for gender disaggregated data which would require each data piece to be viewed with a gender lens.&nbsp; &nbsp; Dr. Aarushi Jain, Director, Bharti Institute of Public Policy, Indian School of Business, leading the workshop said, \u201cData harmonisation is not simply about bringing datasets together; it is about creating an evidence infrastructure that enables governments to learn, adapt and make better decisions. The real value of data lies in its ability to strengthen implementation and ultimately improve outcomes for citizens. The workshop with the Government of Uttar Pradesh is an important step towards building a more integrated, interoperable and decision-oriented data ecosystem for the State.\u201d&nbsp; A fact that most participants agreed upon and stressed that Data harmonisation is not merely a technical exercise. It is about creating a common understanding. It is about ensuring that when two departments talk about a household, a school, a farmer or a health facility, they are able to do so using information that is consistent, credible and comparable. Predictably, such alignment can help decision-makers see the bigger picture rather than isolated fragments. The discussions at the workshop also reinforced a simple but powerful idea: better data can lead to better decisions, but only when it is connected to real human needs. A well-designed data system can help identify which children need greater support, where healthcare gaps exist, which communities remain underserved, and where public resources can make the greatest difference. Additionally the collaboration between the State Transformation Commission and ISB reflected the importance of bringing policy, administration, technology and academic expertise together. Data, if collected accurately, creates a space not only to understand the existing data landscape, but also to imagine how it can evolve into a more integrated, responsive and future-ready ecosystem. Ultimately, the objective is not to collect more data for the sake of collecting data. It is to make the data we already have more useful, more trustworthy and more accessible for informed action.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/indietimescoverage.news\/index.php\/2026\/09\/15\/from-data-to-policy-decisions-building-an-evidence-based-data-ecosystem-for-uttar-pradesh\/\" \/>\n<meta property=\"og:site_name\" content=\"indietimescoverage\" \/>\n<meta property=\"article:published_time\" content=\"2026-09-15T10:04:11+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-15T10:04:23+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/indietimescoverage.news\/wp-content\/uploads\/2026\/09\/FEATURED-IMAGE-DIMESNSION-2-1024x694.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"694\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"indietimescoverage\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"indietimescoverage\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/indietimescoverage.news\/index.php\/2026\/09\/15\/from-data-to-policy-decisions-building-an-evidence-based-data-ecosystem-for-uttar-pradesh\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/indietimescoverage.news\/index.php\/2026\/09\/15\/from-data-to-policy-decisions-building-an-evidence-based-data-ecosystem-for-uttar-pradesh\/\"},\"author\":{\"name\":\"indietimescoverage\",\"@id\":\"https:\/\/indietimescoverage.news\/#\/schema\/person\/f66c04d9c1e9f66db6bec748881ab056\"},\"headline\":\"From Data to Policy Decisions: Building an Evidence Based\u00a0 Data Ecosystem for Uttar Pradesh\",\"datePublished\":\"2026-09-15T10:04:11+00:00\",\"dateModified\":\"2026-09-15T10:04:23+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/indietimescoverage.news\/index.php\/2026\/09\/15\/from-data-to-policy-decisions-building-an-evidence-based-data-ecosystem-for-uttar-pradesh\/\"},\"wordCount\":533,\"commentCount\":0,\"image\":{\"@id\":\"https:\/\/indietimescoverage.news\/index.php\/2026\/09\/15\/from-data-to-policy-decisions-building-an-evidence-based-data-ecosystem-for-uttar-pradesh\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/indietimescoverage.news\/wp-content\/uploads\/2026\/09\/FEATURED-IMAGE-DIMESNSION-2.png\",\"articleSection\":[\"Business\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/indietimescoverage.news\/index.php\/2026\/09\/15\/from-data-to-policy-decisions-building-an-evidence-based-data-ecosystem-for-uttar-pradesh\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/indietimescoverage.news\/index.php\/2026\/09\/15\/from-data-to-policy-decisions-building-an-evidence-based-data-ecosystem-for-uttar-pradesh\/\",\"url\":\"https:\/\/indietimescoverage.news\/index.php\/2026\/09\/15\/from-data-to-policy-decisions-building-an-evidence-based-data-ecosystem-for-uttar-pradesh\/\",\"name\":\"From Data to Policy Decisions: Building an Evidence Based\u00a0 Data Ecosystem for Uttar Pradesh - 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With over 100 officials, and&nbsp; as many as 36 departments, six thematic Knowledge Caf\u00e9 tables attending the two day workshop, issues related to data duplication, inconsistent definitions, manual processes, interoperability challenges were discussed. Deliberations also touched upon the proposed State Data Authority\/data architecture direction. An important aspect that also emerged here was the need for gender disaggregated data which would require each data piece to be viewed with a gender lens.&nbsp; &nbsp; Dr. Aarushi Jain, Director, Bharti Institute of Public Policy, Indian School of Business, leading the workshop said, \u201cData harmonisation is not simply about bringing datasets together; it is about creating an evidence infrastructure that enables governments to learn, adapt and make better decisions. The real value of data lies in its ability to strengthen implementation and ultimately improve outcomes for citizens. The workshop with the Government of Uttar Pradesh is an important step towards building a more integrated, interoperable and decision-oriented data ecosystem for the State.\u201d&nbsp; A fact that most participants agreed upon and stressed that Data harmonisation is not merely a technical exercise. It is about creating a common understanding. It is about ensuring that when two departments talk about a household, a school, a farmer or a health facility, they are able to do so using information that is consistent, credible and comparable. Predictably, such alignment can help decision-makers see the bigger picture rather than isolated fragments. The discussions at the workshop also reinforced a simple but powerful idea: better data can lead to better decisions, but only when it is connected to real human needs. A well-designed data system can help identify which children need greater support, where healthcare gaps exist, which communities remain underserved, and where public resources can make the greatest difference. Additionally the collaboration between the State Transformation Commission and ISB reflected the importance of bringing policy, administration, technology and academic expertise together. Data, if collected accurately, creates a space not only to understand the existing data landscape, but also to imagine how it can evolve into a more integrated, responsive and future-ready ecosystem. Ultimately, the objective is not to collect more data for the sake of collecting data. 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