Data science is a really hot topic and has the potential to make GIS more powerful. Let us explore the ways data science is being used in GIS.
Considering the huge amount of data required by all industries, it is no surprise that data science is emerging as a crucial component of the world. It is an interdisciplinary domain that deals with huge and complex data from multiple sources and diverse formats, to derive meaningful information and empower businesses to make right decisions.
GIS is the science of mapping of geographic information and data. The technology is being used in diverse sectors, such as health care, education, military, and transportation.
Data science improves the accuracy of GIS and makes it more relevant to the information age.
Data science integrates with GIS and focuses on the characteristics of spatial data to learn more about the location, spatial interactions, distance and other core aspects of location intelligence.
In this post, we’re going to take you through what you need to know about data science and its uses in GIS.
Applications of data science in GIS
Geospatial data science is an essential technology that can help organizations use the location-based data and implement the location-aware services efficiently. The applications of data science in GIS are set to increase and experts have projected the geospatial data analytics market to reach $88.3 billion in 2020. In the coming years, organizations in both the private and public sector would be investing more on geospatial data science. Regardless of the industry, data science and GIS can help decision makers derive critical spatial insights and use it for strategic planning.
Geospatial data science can support authorities in implementing humanitarian projects. Advancements in technology have created a vast amount of information that can be used by decision makers while planning social and environmental projects. By processing the huge volume of data in a short time, authorities can make critical decisions about location-specific humanitarian projects.
Organizations can leverage the power of geospatial data science and formulate aggressive and targeted marketing policies. It can help to conduct accurate customer segmentation based on the interests and preferences of the customers. Using this information, brands can promote their products among the prospective customers based on their engagement levels and also deliver personalized products to their customers. However, marketers need to use spatial data from diverse sources and this could increase the complexities of the process.
GIS and data science can greatly improve the business intelligence and help organizations take critical decisions based on advanced data. Many industries such as banking, insurance, telecommunications, and financial services are already experiencing the benefits of geospatial data intelligence. For example, the insurance industry can use it to detect fraudulent claims while the banking sector can make strategic decisions like identifying the branches for consolidation.
Geospatial data science can push GIS to venture beyond the traditional realm and incorporate advanced spatial analysis in its fold. We can expect GIS to integrate with data science and emerge as an interactive and highly useful discipline. However, geospatial data science being a complex field requires organizations to use the services of specialized professionals and invest heavily in the latest infrastructure. We suggest that you leverage the services of a reputed GIS service provider to avoid the complexities involved in the process.
SBL can help your organization derive the exciting benefits of geospatial data science. Our skilled team has in depth exposure to all aspects of GIS and has helped many reputed clients across the globe to leverage reliable and accurate spatial data in their business. Contact our GIS division to discuss more about your requirements and avail the best quote.