Solution For Agriculture Sector Problems of Pakistan
Turn our quality data and penetrating insights into opportunity – AgriTech is all you need!
How We Work
Collect
Public, private, proprietary and real-time data is collected for many aspects of agricultural sector of Pakistan.
Transform
Data is vetted, prepared and standardized to derive insights. This is where quality is imparted to data sets.
Model
Smartly modeled data allows user to conduct multi-dimensional analysis that has never been done before.
Visualize
This is where data tell the story and yield insights that lead to opportunities and growth.
Disseminate
Customized reports and interactive dashboards to conduct analysis, insights, and opportunities identification.
We Solve Agriculture Sector Problems for Pakistan
Agricultural sector data in Pakistan is everywhere and nowhere. It is everywhere because innumerable stakeholders collect data within their own spheres that remains with them and in their customized shape and form. It is also nowhere because no one can find it at one place, let alone use it to their benefit. AgriSense by CA Analytics solves the data problem for agriculture sector in Pakistan. We save stakeholders countless hours to collect, transform, model, analyze, and visualize data. It does not stop there; our expert analysis helps them find insights that are unparalleled and that lead to opportunities and smart decisions.
Did you know…
In the Bhakkar District of Punjab there are 516 rural populated mouzas but only 86 of them have fertilizer shops within them. Out of 516, people of 127 mouzas have to travel 11 to 25 kilometers to access a fertilizer shop.
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Did you know…
In the Duki District of Balochistan, 76,379 males and 66,552 females reside in rural areas. The highest single age population in the district was of 2 years’ old which was 6,249, out of which 5,912 was in rural setting.
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Did you know…
In the Jamshoro district of Sindh, there are 168 rural populated mouzas but only 50 of them report presence of a metaled road. 115 mouzas out of 168 report road infrastructure made of mud.
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Did you know…
In the Mardan district of Khyber Pakhtunkhwa (KP) the borrowers for Non-Farm sector (Dairy Farms, Poultry Farms, Fish Farms) is outpacing the Farm Sector (Crop Producing). The trend for Non-Farm borrowing is rising while it is declining for the Farm Sector. This holds true for both the number of borrowers and the amount disbursed.
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Did you know…
Culturable waste land is a piece of land that can be cultivated but is not due to host of issues including water shortage and salinity. In Pakistan, Dera Ismail Khan, Swat, Kohistan, Laki Marwat, and Tank are the districts having reported most culturable waste land when compared with all the districts of Pakistan.
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Did you know…
Culturable waste land is a piece of land that can be cultivated but is not due to host of issues including water shortage and salinity. In Pakistan, Dera Ismail Khan, Swat, Kohistan, Laki Marwat, and Tank are the districts having reported most culturable waste land when compared with all the districts of Pakistan.
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Why Us?
After the In-depth analysis of the extensive data sets we have gathered from quality sources, we ensure the provision of strategies best suited for you.
Centralized Agricultural Data
You do not have to spend countless hours to search the data you need. It has already been done for you, all in one place. Meticulously extracted from varying sources of different nature and in countless formats, it has been sliced and diced for your various analyses.
Multi-Dimensional Analysis
Even if you have the data, it needs technical expertise to model and structure the data for analysis. Data analysts cost a fortune. We have got that covered as well. Our data modeling team has modeled the data for multi-dimensional and multi-faceted analysis.
Deep Insights for Growth
It takes persistence, commitment and data dredging to reach that point where you can derive insights. We are already there. Our in-house team of agronomists, experts and analysts have unearthed insights invaluable for identifying opportunities and growth.
