Desktop valuation can assist in conducting the valuation of premium properties. That is the reason that rationality or irrationality, whatever be the state of the market, it To know more please check out the video. Financial Planning Share Market Life Insurance Real Estate Mutual Fund Health Insurance Fixed Income It was a real pleasure to work with him and would highly recommend Liases Foras and Pankaj Kapoor. The future is certainly hugely digital and I think Property Science is going to go a long way in helping all the players for this. recommendation engine suggests the prevailing loading of the particular city and Read more about working at Liases Foras. Explore Information of Companies & Directors related to Liases Foras Real Estate Rating & Research Private Limited. See what employees say it's like to work at Liases Foras. The sector's debt has risen to 4 trillion in 2018 from 1.2 trillion in 2009, said a recent report. Define the catchment by drawing a circle or polygon on Google Map. parameters of Distance, Economic Density, Surroundings and Product to arrive at Connexion. Salaries, reviews, and more - all posted by employees working at Liases Foras. coordinates of the property based on the address of the property. processing, The predictive model integrates car parking, floor rise, preferential location charges (PLCs). Real estate research and analytics company Liases Foras recently raised Rs 31 crore from UK-based Daily Mail Group. This is one of the use cases where a celebrity bungalow, which is one of the outliers in the market, can also be assessed through this dynamic tool. Dans les trente plus grandes villes du pays, indique le cabinet Liases Foras, 1,28 million de logements neufs n’avaient pas trouvé preneur au printemps. Today\u0027s data is not standardized. Email. engine recommends the price based on the average of the top three and top five The list of portfolio properties is maintained in an excel/CSV. 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"},{"id":16,"name":"Imtiaz Ahmed","designation":"Executive Vice President and Business Head","companyName":"AXIS Bank","description":"Property Science is a value add for lending institutions. It also eliminates the inconsistences. Based on the updates They get every quarter, they compile Ressex Market.The company has built up a proprietary database of residential housing developments: it collects inventory and pricing data on the top 25 cities in India, … O: +91 22 28391486/63 contact@liasesforas.com Read More Source: New feed 9 talking about this. A free inside look at company reviews and salaries posted anonymously by employees. with very high accuracy. The tool deliberates the right set of comparables from the Liases Foras database to assess the valuation of the property. Quite a few public figures are residing here. Best Jobs in America 2021 NEW! Pankaj Kapoor is undoubtedly the best and most honest property researcher in India. Region. Previous Employer: Liases Foras Real Estate Research Consultancy Job Title: Research Analyst. We provide quarterly and annual trends o primary market of supply, Activity If you died tomorrow your position would be filled by next week. “Reduction in employee cost will directly impact demand of office real estate as well as lease rates,” said Pankaj Kapoor, MD of Liases Foras. Liases Foras is engaged in the process of collecting real estate market trends and data every three months. And finally, on pressing next, the user gets the composite value of the property. The group operates in 40 countries across the world and its revenue in 2014 was over USD 3 billion. It may be a direct match, or an average price of top 3 or top 5. Samudra Mahal, Worli, Mumbai, Desktop valuation of an independent house, Desktop Valuation of bulk cases or portfolio, Desktop valuation of a celebrity bungalow Jalsa – Amitabh Bachchan’s Bungalow, Juhu, Mumbai, 3. Property science will not only bridge that gap but also bring the much-needed objectivity in this regard. Data and science form the core of our services, which range from providing market intelligence and risk advisory to lenders and mortgage companies, to providing development advice, best use, and valuations to developers, funds, banks and corporations. The valuation model integrates the age of the building and provides the composite cost of the independent house with remarkable accuracy. Project. Foras database. Welingkar Institute of Management. Sign up to Track more details related to Liases Foras Real Estate Rating & Research Private Limited. Get Top Management, MD , CEO , HR Manager Contact details with Email id of Liases Foras Real Estate Rating & Research Pvt Ltd in Mumbai . Since 1998, Liases Foras, a non-brokerage firm, has been a focused researcher in the real estate arena. processing, for that we have created a unified data structure that enables seamless Liases Foras, founded in 1998, is the only non brokerage real estate research company in India. property.The theory describes that the price of a property is governed by four fundamental factors Moreover mailers have a very high conversion rate and it will remain so in 2021 as well. At 4 levels, over 60 Indian Cities and with years of constant updation and validation, Tracking of 20,000+ live projects through field surveys, Up-to-date mapping of 5 million legal transactions. Here, the user has the option to choose the method of average computation of the price of these comparable. To know more please check out the video. The prospective buyer today has to depend on the expert opinion of the agent or the developer concerned or a well-wisher maybe. Report this job; ... Click the link in the email we sent to to verify your email address and activate your job alert. prices for differentiating products at the same vector (location/space) and for the same Sales in Mumbai jumped to the highest in seven years in the second quarter, according to property consultancy Liases Foras Real Estate Rating & Research Pvt. PropEquity. This can be one step towards standardization. Liases Foras, founded in 1998, is the only non-brokerage realty research & consultancy company. A plethora of clients have benefited hugely from this most structured realty database in … Read More. The company manages a multinational portfolio of companies, with total revenues of almost £2 billion. demand and prices along with location ratings. Contact Email contact@liasesforas.com. Welcome back. It also eliminates the inconsistences. Locate your property by entering building name, road, or location or pointing on the map. If you are planning to buy a house in Mumbai or Navi Mumbai, here is some good news for you. immensely helpful in ascertaining the market value of the property. NHB is also working on two more indices which include rental index and building and construction material index. The API searches for the most relevant comparable and calculates the appropriate price of the portfolio property. The candidates with 12th Pass (HSE), Diploma are selected to full fill the vacancies in Sales / Marketing Executive job field. integration of guideline values of different states in India. Get overview of competitive projects in the neighbourhood, Within catchment select any of the competitive project to understand supply, sales, PSF rate, launch date, possession date as well as construction status along with other vitals, Provide inputs on infrastructure, surrounding, municipal facilities, construction quality, features as well as exclusivity to determine PSF saleable area rate, Post that DFS will show project wise product dynamics within the catchment to find out the most appealing product mix. Connexion. Data and science form the core of our services, which range from providing market intelligence and risk advisory to lenders and mortgage companies, to providing development advice, best use, and valuations to developers, funds, banks and corporations. To identify the most relevant comparable from millions of the records, we have created a NEW DELHI: DMG Information Asia Pacific, which is a part of British media firm Daily Mail & General Trust, has invested $5 million (around Rs 32 crore) in Mumbai-based residential real estate data and analytics firm Liases Foras, the company’s first round of funding in over 16 years of its existence. All the property addresses in the portfolio are geocoded and checked for correct latitude and longitude. 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w8MMXoBGSqJogEJwbH9/P9Ux6G+9+ab8zcDh48SJE2n5lctp6eVLafacOZSTPbYAKu2OWyeHurrvdE+panQe/mTTaL4zKiCPOZ3ZqZXT9+Rsei1zTFcWlePHj9O6Bx+kN9/6M3k9PgoyqABH07zxCLQbNwjb4z95nAoKCuivV62i1TfcQNXV1aLNiUj6dx6cHKg59pMGZ2ndaJIg5wQSdjE9v+Tj3Df/mJPQlUQFILndbtq8eTM99x//QTU1NRQMBqBiAl4wGBzLac/5m42NjfTUk0/Sz194gVYxoOvWraMpU6YkdJ6s//5FedOs+W8zBuVTW1oGznbsOYHMvmTJoylr12QldAUUmYq7d++mhx9+mHa+v5N8Q0MUDkXBCwTF1n0WAkf10ksv0bZ3ttETTzxJ11x9dUK/nfn801n6e9f9nN/ecLbjzgokB/kPOf51/Q2Wyy9LyDVCI362YQM9yFowMDBARqNRtkA4JNNZs3eazfssxN3oZrOyjmZMn06lpaWj/p5p9izF8egji5umXvCLgkP7bxrpuBGB3Kgo+urJ0x60rFhuSOySiX7729do3QMP0ODgoNx9OAJIiKcxpnIybOJYpP7ECXrn3XdpwoQJCWmlccb0LPOVy6obCideXNxYs/1Mx4wI5KWLr9iS+dyGhEFsZx74ve/9q4AIsAAiLjr4OYMI8Xq8fJNfpZUrVgh9SkQyHvvhJM9rv9vKb8+IyRmBdM9ZcFXK9atmquVlCf0YKMndd99DR48eJVVVheoAPNCVc4Gnacj5BBnn3rFjB/34scfozjvvpOwEwUy9eY3HPad6hXPPzs2n7zsjkOHOjk32+7+VkDfo7u6hO+64gza+uvEUUAAkPsfbQ3zWjkFkEo56cO0751P6evuYPTwnN/nuu+7mCGn0ZMR+3z1p3tc3PXu4qOiCKS5XZ/y+TwHZNHve97N+8RyyIKMOAQHST5i7/YZB1DMwIQZDAyseJHC5cHSf9grRPmvnOp8CAD0Dg7T5D5slGvrKjTcmZC8dj/0wI/gPa9fz29vi/34KkI0lJRn6otKvmhcvSiiO3rdvHz377LMSmVhQ/eOLDcQBGA8ONJAh5jenaiwkHuTzJTg3YvoaNj8vvPA8LV68mCaUlIz6+6Z5cy2KUf3bAwUF985oahrU/n4KkLq84iW2L6x2JHpxv9+0iTo7O0m7r3q9KmDhogNRugNtVFR9JMkQOgkgbOnp0zoeXByvxdgxwCl6fPQ8mtYncgNw0z/a+xG9/PJLdN+99yWklfb1D5mD9z14C7+NJYRPATLc3v6rtNtvSSiRAaB27NhOAY5WVAYQFEfRKTHtAlDaq2gjNE5PsYHr+G+KTgIdBubU5ASOVw0qGcBD4f3jQJXrjfJRhIfDTPiHhoZjyY7RmAho5v++9r90yz/dSnZ72qjHbF15lbX7n7+JItqngUTNxbzkCqjq6GrMUUGm5sjhIyRKwhuiFvyLt4sqg2C2mAUAAA9BBgf7/AF/5G9yvF4AYAor+21sJuzp6ZLRwWfcIEUfuUk4HtESaNYQv4IZ9Pb2ks+rE9KvhZ5no1vYd4zj/7q6WskijVp4HNbVf9PfUFS6oNhVt+MUINWyKfemrl2TEIiQgwcPUntHR0SD9JEASOOL4JBWm40KC50MpEUGDYqE/dgHcHAcoh+8ms1mAddmtUq+0WZLISt/D5po4WMtZrzXxQAc4A2aju/je9CwYPSmaBp5LlrV39dH25kSJQQkS+pNf5/te2vLffz2mlOADLhcN5kump8ojtTHwITibJqmCRgYQCxjLjp54iRKYVCGhodk0JqTUfT6yKB5U9WIFppNZkpNSaHU1BQ5h8YC9IoqtjHAGg/ANNAx5WFSunu6JQzFNA+dwWaONN2D/LcjR44kPG510kQK9/Vfvk1R1EWhkDQoUV1xxYy0Vdcgu5Ge6Akrp0yRTHVXV1dsGmkOAtHD9GnTqLR4ApnMRgEFHikYDMkGwcBVPhZ2UM8ajelsNBjFFAwxYJi2Guh49Q/7yW+zkNVjEW30er3ym8N8k5CgwBQXB8TXAoeC69ASw2cSHIf0XjwdG61Yv7jaU/7CwMX8dpsAaS4quDHl+msTBhGC1NTlV1xBv/nNRtbMk9PJaDLKlHbmF1BGpkOMecTORZyIgKNEbKTYSn/kVRs49ptY6wAgwNHAwHcVv55BHiYTg4/fhHaao3YUwGs3FDcr5tTOAtJgdJYkDOTVKzI9r2/6cgxI8vhWG2fNGguOohV/96W/o9+//rpMOU2gYTk5OeRIt5PVapFpB3tnNprEPmoXjmkIT4spFghFzIJ2Hm1qatQHTgmAwzsDUINqIL8+cgNEq/m88p6vCWBKiBo4qZUjCRzaWNJ6xqoq5Omu5bdr1L2Fhda8vGK7jm3SWGXJksV0ARvr3bt2nao57GUxReF1AaROp8ToDT5DcByAkymOxAZsGe/T+KFW3NL4qCQ/AsGY1gbDEcAi3j5iUgAo/gbt90M7QyNzTFxPLt/wMeVHedbx3bSg10nNDlummi+9ZMyFcQiAunbVKia4e6P2TIlwQNYMzWGInDYYbeCYkpqnx+BVRR/7DECwabYvZgOjnlkDWIvZNe2NAXMOjo7jKjlUHPPY/2pFf7CzZ56qmPWzTBdfNCb7GC/XXXcd/fSJJ6ittVUiG2gcNMOgniTUACg+/tYiHgiOjacsQu75M4CD3dO0zu8HqH7RYG07ZRacXp4FnmcBE8dPrawc87gNkyZm6Ixqoaqkp1cbJ1YknHc8XQoLC6Uc2sGcEtEItBQXKY4AdjEa2WibNngAoVGmkwDzPmgZ7weIOAbteUFUGYNh+awBC6+NV72ij01r7NdienBQntsjTm3MhgKnc8zjNk6fZlAyMpaqfKZiXcrY7aMmGMTChQvp3XfekQFgcABBEU8cmeaQM8XQWt4yNp0BGjueYQYkltggEsc0HNVAmeb+4VMcEm4aNFhzNviSLiw7R7xuXOPtt99G06umUXlFBU1izjuhtJRKSoqZitnOOW4lLY0Us6lEDXu85fox1n9Pl2XLltGPfvRDGSQ0pSdar6YosNq0i7djWvyt2VTRJhwfdUoAR/PGXq+PwQuIxkOA0RCfX77DjgzaZeWoCOBoWflzJTJwE9GcgE27NlxHXl4ezZ8/X8a0dOlSBrbkjA5JycqkkMdbqoa93mxpfE+CVE6eQpMnTaEDB/bL4LIys+R1YHBApjecEMi2lsjQxILBs+fWPDoAwQABkkEy7cwp2UP2M9/D1wyDBuGRAL+f94sm8/TVIiwtkXF6dDOaFB3247sul0u2jRs3UgrP2OXLr6Jbb72FFixYEJtdAiRrLWOYo4aDAWQPkgKkyWyilStX0t69e+QzOh0AiNfnkymJC0xNSaWMaOoMmqaIMzLId/3MDxEGqiocD4eCrIGaLZSpy+GjRuj1eo+cI8ORQd3d3THQEIJiEycUDRAi5F+JBQKJCs63ceMrUu+59NKF9Mgj/05z586N7AQnHhqy8VwKJLU1eT7H67jnuGij8SQx7uvrp57uHuGVQXZM6UzUxbOzpmH6irakhGMOCCbBxA4rHIzYS3+07pPNWg4bjNJGZ1cn9fb2SeNVV3dXLCkC7UZabTRRTSKCm7B169u05LIl9MD9D9Bdd90ls4d36NWMDU+gI2ptUn6JBXXj3LzcKJVReHAeampqoZrjxyQiMfMPHz1aIy0lWZkZkulBeGdno52GMBLJCLZ34J5GpN7YHPgRc/siGR8kSfpYQ9o7OunjQ4eoqblJYuwhyUdGNiSONcoTH/8nK/Pu4TE99NBDkhj+2Yafyd/Urjvu/Lp1xfKk/AAkIyODll62VJK9GKCrsZFamVv6hodkMF6vR9Jue/fvi2XCMcUL8vJpzqzZVFpaTPm5eaKlCBlhjxD5wF51dnWJnezvH5DPrW2tor3CUfk4fAdgAczBgUE2Dd6YzUymZkJwzld5qrvcjfSKqgZUnV718YhSkmUncbHoZNi/f3+MquQzSFrSAoN1cGzbP9BPbW3tQmHgQQxMwA0GPQ0y+H39fTF7BoD6+vqok6cuju9jEPEdZ4GTysvLIj2SUQbQxbbS5Wokd5ObGt1u6uDjNZ45UiliPDUifO+jXR/QUGG5R9VZLB3hQU+KLi15CxEweGR/oCkALd1u5+mezSBahJtBL7L9mVSQn0e9bDvhWAwGY6y1BeRae6+Rd4/HS52dXdTc2iLntOfkCk+ELfQwWEiFYbpjTkNrcdNSeExa9HO+xMZmqD8YbFN1VkttsLNzgppEIOEtkeKSjDYaQ1kLXa4mOvDxQXEM5aVl1MKAQGtg9y69+JIIhwz4eV8pTZtWJZkjM9MyidfZFLibmmn3R3ukMRVcEVtV5VS6Yunl9NzPnxcgATqoSnNzc4S/humcXnq8VUsLvk/hTiZ04Y+CLtdlaumEMZ/sdIFnRhQCrcBFooW5rv6EZGEqyspFo6zR/CGA7eiMlCpsVpvkKEHbJaJh8j3EFAhgw0OjVa+XvXU/azFIcj6T5ka3i6rnzRe72t7RTt09PZTGjgu/ORxNCp8NrPHW0fP1snj3oBpqaTsSaGv3m0boaRmLlJdXSKYHWgHNSWfgKtRyoS22FBtlsrd25ueLkzl89AhTmH7xhGaLSZLBIPLifSmiUajNwPtLVy+AUXSimQsvuZiKigqpB+CxrWxhp3aioT5GyD3s8aW66BuKRVLJ7secZDD5MxRlhxoO+I/6D37cSddfl7S1gtXMJYsKixgolVJSbVI+yKe8iIawPQS4MmV5KhYxp8zO8kmIB5uakpoaA0LLWYIiYZOuNl2kJl1zrIb2HzgYJedKpFLJhD2TCToSvk6mV7g5cDwtLa3iwTVin8wGhGqzuZdt2UfqoLd/r/6NP5vS1z+UtJPb0+x0wfQZHBKCDjmERKOYpZFt8EmtGGXhwVuihSw4mUBUYwxRSoNBA8Q0tuHifKRmHhJgautqpREKNrmb43pJkjCw2RxRoRYDp4PEL5iApOSiWp7M3sxFZquZGsOHVSy9bZ67oCvU0+OQtdBJEIR5VraTBlPEawMIY9QrI8oZHGyLDRwmQK9G0m5wUMgW2cyWUzw2UmFWizUaATEQfH4sG2luaRGwsjIyJbPePtQunDOSKImYBX2sBHEyT6klT8YLpp1vajBM7Xh6gYSH4VBgR9DlLk8WkBC9EklrGXmaARRNuxBbA1wMpqevVwaNgdoYKNSu9VFirfVVapoEihThg9FeBH4Px4L8Zx5TIURGMA3eIZ+Qca/PKxu6zyReDya/L3MuzyZfKPQrvBcgg+2dG71btlxpmF41pob7M4lO1VMKc0bNzkGkgSAcSabCOWBKo9YNbYWnRW8QPLVcWDSniFfhhCmpsWSxOAwGeTia9HVk2AWstLQU1tBBuSnouujlGwVKJVM5nPwut+ttqb0FRLKwSYAsch3/XWN55W/TvnF7Un5Ai20Bgtb2jJhZ1Qpe6qlNUQBG7Js/UggDcGo0MwR7iHOksY3NysykhvqGWEICNW5QI4Cc6UgXW6h2dlIPn9craTklVkFMdqcbjMMSphnFDcdl6Ugs86NLSdkZbG6+OPqohHGJFtHGXzM4pBatYPDDvog2IR7XSgfhaD+PaCu0T8guauSswRwdZWdlk5UZAKYsNBeh4ieHDgm/LJ8wgW2sSWo6WmIZdlHLpifarXYuucRkIVcg8MLE6OcYkKGurkcGf/XrZ9Lu/Mb4kaRoBpwobgAnVzIgAQsAW9paRXOKOG7G1Narepn6QmmQPFVQBIt0aIBK4RhQJ8TeesnmEPVwfP3HP/1Zopz8vFxJBsNcmM0cJrLJ0JbU4UaecoXjTGCstTv6y3TqD7TPMSA/cNdtrt7wbDoDOa4fgIAwS3tJtIwqUyoUlpwiyHFHWxs1Mr+DsyhjTcrmcFDh78CKxbcCGo1mcTxBnsJIv0HjCvILYpqsdVU0NDQIFcrNyY59V4mGpsZomSLZ03quwaxOaKiJPcElBuT17BbdU2ZsGNr5/s2m6ovOXfU5i8jd5mvGFIRnRhab51qk7Y4Hj1Cuvb2Do5IiKi4ukS5fSX9huqMGMwwyboik3TzRJXYwDQwKGqwmlEyQ7FEr35BUWwpVVk6RVbMwD/po5VI64djpQLMjzQlxjapx3WpjkbvsGUPtgcDq8ri/nZIddx4+cHdjReUdeO7DeCTSSWGOcEbWHCvzQj9P2+6eXklW9PBrHk/D/NzciJZ69dH6c5i8HI1AFLJJphtdFUj117tctP/jA9TArwAGYSRSaRfNmxcBne0huCmSwmITiWSpXkizj0QxOqX1aI5VvmBN7bcND2yL/9unygyKLeUJ346da80Lqse8XheahDxhe0erfPawZoJoixa1tEkxC8nZmtrj5GBNymRCLZ6atQcJjBbWtIx0hySJAW5Do4uOHa+VWBoC7UNRDBqKRtf8/FxZ39PW2hbRRrT3oYkAXRrREi9EczrjmebLLDYfD+/J058h9CkgPQf33B/+x9u+7vx4z5h+SJPUNCQRmsRGeqP9jCHpwSHq6OqUAbY0t0osnsmAZTgc0lza1d0jgGLaHj5yRBqcQKZzsnMk7HQ3N4nXB03qZrPRw+YC9SCkz3x8wyJRkEVultZcILwzDrjx2MoNmbnqhPqa9af//VNA4gEZ7qmz7xl88aV/s335Swk/8AO0A0voXnnl17To0kvEVmFqQlBSNRhVadyHJmGAaGBCvbqtrYN6+/vYC/dGNbOT9h84IF4XS96goag14/wACBkfnBtaXlN7TG4GbCISxwAXNxBTHR5eCxnHu+psfXpmf7s/sGrCGfadsYLoPLT32aZps75t/ZtrSTfKFfkA5n9+9T+04emnqabmKGuSXUoOEyvKecCRbgpM3+zsLCk7HKmpkYjGLs6ng3KYI4q2dnSKDWxqbpZCF6qDAKO8rEyoDYDTgInE7YPiwXEMzj+pfKLkKeHktJpOKBgaVbPA2WQqX+tFJsvOC5vqzvjgpRFLsb6+gcUd/3DzluyXflk40jG4yD179tJTTz1Fb7zxR+na1S4WZVGsv8nmaCQ3L0fsJjggpjh6wxEfw47OmD6NCp1O0VIpgjnzRbNQqsjMypSYWiIYBssTzeJoEVN8PyZIPLJO+B1HhkMYA+rikScT+MedoNicW0hF9TUjPnBpRCDLGmpqmmbO/aXvrS1rzUsvy9Ae3oFF7Lt27ab3P3hf+nyOHD0aqznHC7ztvgP7pdMLtRoIBjkc7Z4oLyunkpIiKS0gFQZac/DjT8TesV5KBDOpokKSEk3NLZI2Q8fGQNQ+AlQIHFKRs5CKmUqBCTidBeJM6hvqacAzGIucxgPktdaUno5Q6PtFZznmrM0BBfs+XNdQPvVr319UHdp/+C+Ki4kvbJNvyPepSOF0ka4HBmXL1q085cw8+Azqtw6IJwVZLipyUmlxsdg2mfIM5vwL51I9e+iO9k6xm60trdIAgG5cijZbQRthB6XLjb9nt6czSc9nR5UtNCjiYAJSVMN0B50KxnnuROWvLLbwDba0X85yHT/r06rO2WURHvTNuvGNLe9d2tJQnjBtCEfWSL+/6wOpq6A8G1n6kSN20hhtMNXsp4DDW0FuHg0FhgVEmAtUEOGVQZNkeUnoZD0cBba01DS+UcPynIyO9i5pYRlk7YX9jG8bHIv8e0Z2n6Gx7lvnOu6cQJa01LZ0KkrlQWdp74zm+oS4ZWQ5R4AO7N8vWZyqqVXy7J5c2D5EMjzNkUoLRPu8tVdZO8PTUhryTZGec4cjnQb6Iy0podDJZ2FovBDZ9VZ2VCD8SPaeqD8Ry0WO1cnsyC/uNg/qSktH8aivUfX9zA6F/LVFE//pllT73U/19Uwf7YVoIRls2gGmMnAAVZVVMjg7A6NGc4uwYxqIGDS8NmwmCDc8t9aApVcVIduBaM5SO16Sxvz5GNMgPDcI07uDCbrX4xkzAX87r6i3Ozw8eX6ne1SP+Bp1A1WZq+Y/C+zOzfWFZW0ljbXnPD4+tpVaDXvemqM1kgqDjWvv6CJHemT9qFaCiJ+G0u9oNFGKLRxJm0WTudJjzrZQ59dJRghLQODRG92NEj4iwoFd1DostN+HjBbM29McR3L0+oenNJwY9aO9EupEu8YS9G73+p2bcpwHVra5R3wG0Ol93NpAAOaC6mopyzY1NQsQmUxVENXE9+hAw7BJUxRPf6E+HFL6ZAHTcCTFJr2UinzG47+OMi9FY0C/VlqIAzGRdr6H0jOPfDHV/vjkEzX/lQg2CQGJZ99MJRrYVlw88628og+XtrhyTz/m9CyL9jftFZkbJCPQZVFfD1Ltj62Z0dr7tC5eaCoKYgM4JxZzRh0vzoY+ITgdxOGwhy5Xg4CoNZjGr/jC+UaTqPjvrPxjc43meypO1Pw+EVwgY+qNXNTQ0HjM6Zz+UUHJx9/s7sh60zsoKqhddLycnkAFFers7JABw7M2uVtiYTBqLSDpIO6RbLlPGqoAaIj/1ts3EFsJC/uJmB0dHLW1tdTb03vKuhx9dMmdvEerdDQaOpPMMpqCz2fldWQEQ6uKXMc+GQsmY24yrXC72/GEprVp9kcNRDf8wTvoOFPW+XRjjwEinETnGAj3oNfD5NnFNKdbat/owsjNzhHtxHRF8hfJDPy9neNxfEYGXFsdq7WxyMoGrfSq6mWJCs43adIk+mDXrhHHMd1g7PiBI2ebeWjgq0XjeCr0uLp1o1P95tLisqYfU866a9qbDLXBs08h6QHnuBWP9ppRNU3a+Yb8wxJbGzoM1NraTq0Z7RweOujQ4SPSmnLRRfOYR9pkcT2SwtBCaCYcimiiDn3oYGaRpc7QaISMN69ZIz1A27ef8VE99OOMnJrlZuv7k13HbxwPDpCktD3PbKhdv1FRvvdMfsmWN32emT8Y6EkLj5C2wntkc9AUBc5XyjZTh0IVOxMAAyqEnKTVbZUpDC07dqxWUm6gQvVsCyV+jtIlxOPaoie8YjkzOOe8OXNk+9Hjj4uTi5d77Rl9a1PTbbpg+Gs8ld9LBgZJ6x9HqYJfFtmdZVetSUnb9PWuNt/WIe+nCDzoCpZaIN7ex9yymMNERDsWjpVhDwESeCOmqPRV8jTHdEaGCOBrrSxauIjSAmozCCOR7EDaDWXbRQsvFa2trTsRs5XsSDyPZ+Z2mZTw2uL6mlE9znC0kvRnhM901/6BX5RHi8ofHqTw137tGXA82d9jwj7pBmO80XGGOk4dh49ojS6bUCp5ylxrjmRsEBJiumLJHURqLh6dtKVoDgU2FPUaVBYzGTh0dOhkkXxQmrjAV2uOH5clfSvMVs93Hdk+k45e1oeGvjOpobEj2eM+bw9bn+46vq6xpOTRL9psl30jxf7yu8O+wWf6e+wAwsEglpWVSoM+nuRXWOAkI/9TzSql87RE5sc/HIj0guOZFcORJvtwtOcSXWd44gCoFEBEnQYsAIncQmcBTZk8mfSNTZT5ixfb3w6paZ6M7O/S8OBTled4dOF45Lw+tb6wvr6rkGgjv92oLympKHZk31v6nYdv0u3YNXhtElYKCAAAAQpJREFUgdP+ocHEHLCe3tr2Nl2++DKxcRaLwpuZtTAosboU+pXIqi407GuL5zGN8dxdNKdKwwHbVmdXDy0f8HWm//xGa9BkfrOoo/uRkR4Kl2z5zB7/z6AeY1DX8Ns1ePTDwizHjX9yZK0eDobsO47UDfWH3k7PvvBCg56543CqjULRxexa7w+mtRqO9Gzb2eY5OKIprK3zp3Z0dhXX1KbqQsEhMppe1Q/0vXi88cR7eM7EZzU2yOfy/yiUNhw7wC/3YMPC+2sUy9TwiaaZQy2bq0NGU4khGKjQ+/1ZulDIxJs+ugIqHFCUwYCqbw/q1eNqMFhv9vneCgfC7qHm2l3lcRma0T9XKnnyf0K2TaoNrqBOAAAAAElFTkSuQmCC"},{"id":13,"name":"Sanjay Joshi","designation":"Additional Senior General Manager and Regional Business Head","companyName":"HDFC","description":"There are very few reliable data sources and you\u0027re one of them and I\u0027m sure this platform is going to help the entire industry.
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