GIS and Geo-analytics
Location-based data, combined with powerful analytics, puts a wealth of information at your fingertips. Known as Geo-analytics, this is the foundation for smart decision-making.
Geo-analytical site selection helps to make robust decisions on where to locate a new facility, transport route, franchise and more. Agilytics works with you to combine factors into a single map output layer that pinpoints the best site locations.
ETL (Extract, Transform and Load)
Manipulating and converting data for internal databases can be a difficult and time-consuming task. ETL allows you to manage all or parts of your data manipulation efficiently and effectively. The team at Agilytics includes industry experts in the design and implementation of ETL processes.
Topographical Survey LiDAR data processing
LiDAR data has got application areas like floodplain , coastal zone mapping, highways alignment mapping, infrastructure objects mapping etc. For example LiDAR derived digital elevation models DTM) are useful for defining flood zone boundaries and plan remediation and mitigation strategies in floodplain mapping studies.
Preliminary processing involves filtering the data for LiDAR “noise” points which are extremely high or low points outside the range of realistic elevations for the project area.
A need for a reliable process emerged to standardize the development of larger terrain coverage from existing and newly acquired topographic data.
Agilytics has got the experience and expertise in processing raw LiDAR point cloud data to meet the project requirements.
The team Agilytics has got extensive expertise in open source software technologies such as React, NodeJS & Python, Django framework. Our experience covers the full spectrum of website and software development and maintenance, writing scraper and crawlers, interactive data visualization, payment integrations, UI/UX, and general technology consultation services.
Agilytics Data Scientists will work on your data to extract powerful analytical information and create predictive models.
Companies who use geo-spatial predictive analytics have a competitive advantage over those who don’t. By analyzing trends and spatial patterns, it is possible to develop predictive models that help you decide where to aim your business, and stay ahead of your competitors.
Agilytics is capable of creating eye-opening data models and predictive analytics with following expertise:
- Jupyter Notebook, SciPy, NumPy, Scrapy, wxPython, nltk.
* R Programming Language:
- Developed interfaces for clients that allow them to manipulate, visualize, and analyze data in the R environment by interactive web applications via Shiny.
- Handled large data sets in R.
- Developed and implemented data-mining techniques that helped clients with targeted marketing efforts (e.g., Naïve Bayes, cluster analysis, logistic regression, Principal Components Analysis)
With Web Analytics applications Agilytics can help companies measure the results of traditional print or broadcast advertising campaigns.
The fundamental goal of web analytics is to collect and analyze data related to web traffic and usage patterns. The data mainly comes from four sources:
Direct HTTP request data: directly comes from HTTP request messages (HTTP request headers).
Network level and server generated data associated with HTTP requests: not part of an HTTP request, but it is required for successful request transmissions. For example, IP address of a requester.
External data: can be combined with on-site data to help augment the website behavior data described above and interpret web usage.