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ETENDERName of Work:Format analytics services to collate and manage various road project works along with potholes & trenching works and preparing records, presentations in various forms for City,
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How to fill out potholes and big data

01
For filling out potholes:
02
Clean the pothole area by removing any debris or loose materials.
03
Apply a tack coat to the edges of the pothole to help the new asphalt bond to the existing pavement.
04
Fill the pothole with hot mix asphalt and compact it using a tamper or roller.
05
Allow the asphalt to cool and settle before opening the road to traffic.
06
For big data:
07
Define the problem or question you want to answer with big data.
08
Collect relevant data sources from various systems and sources.
09
Clean and preprocess the data to ensure accuracy and quality.
10
Analyze the data using tools like machine learning algorithms or data visualization techniques.
11
Interpret the results and draw insights or make decisions based on the analysis.

Who needs potholes and big data?

01
Potholes are needed by municipalities, road maintenance crews, and construction companies to repair damaged roads and ensure safe driving conditions.
02
Big data is needed by businesses, researchers, government agencies, and organizations to gain insights, make informed decisions, and optimize processes based on data-driven analysis.
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Potholes and big data is a method of collecting and analyzing data related to potholes in roads using large volumes of data.
Government agencies or departments responsible for road maintenance are required to file potholes and big data.
Potholes and big data can be filled out by collecting information about potholes such as location, size, depth, and other relevant data points.
The purpose of potholes and big data is to enable better decision-making in road maintenance and repair activities by leveraging data analytics.
Information such as location, size, depth, and repair status of potholes must be reported on potholes and big data.
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