Public Policy Management

Public Policy Management

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Public Policy Management

At BrandIdea, we realize that for a public entity like yours, ready access to and analysis of robust data on critical socio-economic parameters is crucial for policy formulation and implementation. This is exactly what we are well-positioned to do. With our granular data down to the village and neighbourhood level, we can generate analytics which will help deal with the multiple challenges on-the-ground, centered around establishing transparency in procedures and implementation, based on the principles of equitable growth and poverty alleviation.

Our analytics will enable a more comprehensive view of potentialities of public policies and schemes – likely targets, likely acceptance levels through predictive analytics, on-ground monitoring of progress and Report Card preparation. These can be leveraged across functionalities and sectors like:

Agriculture & Farmers Welfare | Commerce & Industry | Consumer Affairs, Food & Public Distribution | Drinking Water & Sanitation | Health & Family Welfare | Housing & Urban Poverty Alleviation | Labour & Employment | Micro, Small & Medium Industries | Panchayati Raj | Road Transport & Highways | Rural Development | Urban Development | Women & Child Development

Our Analytics Repertoire

  • Performance Review (Prescriptive, Geo-specific)
  • Scheme Targeting & Prioritization
  • Impact Assesment
  • Implementation Roll-out
  • Revenue Estimation & Roll-out
  • Revenue Center Location
  • Resource Planing & Management

The BrandIdea Business Analytics Product is distinctly unique. We have been modeling granular data assiduously for the last eight years – painstakingly, from the bottom-up — across 6 lakh villages, 8000 towns and 2 lakh neighbourhoods of India. We use an array of data-science techniques to generate powerful and compelling granular analytics, which make actionable insights literally pop out of the screen, with the help of versatile data visualizations.

Since the resulting interventions are customized and intense at the micro-level, there is minimal wastage of marketing and sales effort, as against a top-down, trickle-down approach. Also, these efforts drive higher growth by aggregating the effect of customized actions as against the diffused effect of top-down implementation.

At the micro-level, the multiplicity of these data points result in insightful predictive and prescriptive analytics, leading to surprising revelations that answer queries which traditional research would have struggled on. Such insights would not have emerged but for the granularity of data and analytics.

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