How to pinpoint prospective business!

Please visit my web page "Urban Tenets" at https://urbantenets.nl/

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[ #consultancy #city #state #projects ]

If an individual or organization cares to habitually screen and analyse following data in public domain they can easily foresee prospective projects which are yet to surface, they can either float suo moto proposal or in other case they are already half way through with proposal before project surfaces.

List of Data to be screened for prospective business in urban domain-

-Press release of ULBs, state, center and various departments

-Articles of local, regional and national newspapers (including local language and multilingual) and online news

-State vision plans and perspective plans

-Blogs and discussion forums, 

-Public speech and interview transcripts of PM, CM, Ministers, MLAs, Mayors, and Municipal Commissioners, councillors 

-Newsletters

-District Development Plans

-Vision document extracts related to phase 2, 3, n

-Strength and gaps of any state and city (state dashboard, city observatory) 

-Proposed basket of PPP projects under various fesibility reports

-Research papers of academicians and field experts

-Autopsy of failed project proposals and tenders which didn't kick off

-MoUs and EOIs of Business summits 

-Reports of chamber of commerce, thinktanks, financial and banking institution,

-Expansion plans of large national level companies and MNCs

-Manifesto etc.

BD efforts are to be properly backed by R&D and forecast. 

Key words:
#business #businessdevelopment #tender #tendering #bid #bidding #bidprocessmanagement #company #organisation #sales 

Prediction model for future events

Please visit my web page "Urban Tenets" at https://urbantenets.nl/

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When one says next step can easily be predicted in a series of events one easy empirical demonstration is that you can safely predict with 99% accuracy that a man will look for drinking water after walking a mile in blazing sun, further next step can be predicted based on context whether he will walk to fridge or dig a well for water. A temporal behavioral data can further add layers of accuracy. Similarly if you add the dimension of pervasive surveillance and targeted machine learling chances are that someone else knows better than an individual about  what exactly he is going to do, behave and react across a day or month. And wait if you will add another dimention of genome and astrology then possily you can even predict about their lifetime. So goes the old saying your life is an open book, it actually is and its not on your shear will, but on other's observation and mercy.

Thoughts on Complete Street Design

Please visit my web page "Urban Tenets" at https://urbantenets.nl/

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A lush green street, a canopy street, aesthetic avenue, rich boulevard and a street equipped to handle and harvest storm water in every part of city has been a distant dream here. Is it too difficult a dream to achieve. There are few reasons for same. A preconceived RoW template mindset which leaves very little earth or scope within RoW for landscape Architects to play with, transport modeling software only being limited to carriageway design and not the complete RoW, lack of synergy between approach of transport planning, storm water management, landscape architecture and street lighting leading to complete absence of collective vision. It cannot be solved professionally as by that time each one is rigid and wise enough to exclude most of above tasks from their respective scope of work.  Unless a transport planner will care for trees or a landscape architect will care to understand what goes into engineering of road or a water expert will have affinity and knowledge of ecology until then we won't get to experience a complete street. It has to start with education not from the desk of multi disciplinary team sitting in office. Above mentioned subjects to be made compulsory in each others curriculum for few semesters not just to teach them the technicalities but to help them sensitize about each others domain, to gain/give respect to each other and garner natural affinity about others subject so that end user could experience a complete street.