Tag: geospatial analytics

geospatial data analytics

Geospatial Data Analytics & Location Intelligence: How is it Helping Government Bodies Curb Coronavirus?

What is Geospatial Data Analytics?

Geospatial analytics is a field of advanced analytics that focuses on accumulating, manipulating, and displaying geographic information system (GIS) data on interactive data dashboards along with GPS and satellite images for easy analysis. Geospatial data analytics generally relies on geographic coordinates, location intelligence, and definite identifiers such as address and zip code to capture the necessary geographic information.

geospatial data analytics

Why it matters now?

Owing to the ongoing advanced in technology and location analytics, staggering volumes of spatial datasets that offer details on the COVID-19 outbreak have now emerged. To capture and analyze this data analytics-driven real-time dashboards and advanced data repositories are being built to drive a more transparent response effort. Also, since the outbreak has impacted lives across the globe, it would be difficult for government bodies to analyze the impact on a large scale without graphical interpretations and maps that offer detailed visualizations. As an increasing number of cases begin to emerge from different countries, researchers and other healthcare professionals have also started leveraging geospatial data analytics to analyze data and improve services.

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Benefits of Geospatial Analytics

Make analytics insights more engaging through interactive visualizations & data dashboards

When events and trends are mapped and displayed on interactive dashboards, they are easier to understand and act upon. Geospatial data mining empowers businesses to leverage data and location-based insights to analyze factors leading to disease progression. 

Leverage predictive analytics insights to predict possible events or occurrence of diseases

Geospatial data analytics can help organizations and government officials to anticipate and prepare for possible changes based on spatial conditions and location-based events. 

Develop targeted solutions and drugs based on location-specific insights to control the situation

Location analytics in combination with geospatial big data analytics can help healthcare decision-makers understand why certain formulations that work in one region often fail in another. It can also help government bodies to understand various aspects of an outbreak by monitoring and tracking it in real-time. 

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What Location Analytics Breakthroughs Might Occur to Slow Down the Spread of COVID-19?

A recent report suggests that China has been using AI and advanced analytics to contain the spread of the disease. By analyzing occurrences and disease patterns healthcare officials and researchers are now integrating location data with GPS movement of mobile phones, to create predictive analytics models. Insights from such data models are helping in containing the disease and reducing the spread of the virus. While this level of data sharing would likely not occur in many other countries, early indications suggest the actions have meaningfully reduced the impact of the disease, with China already reporting fewer fresh cases than several other countries. Many such breakthroughs in the filed of location and geospatial analytics is poised to take place in the coming years, thereby, helping healthcare organizations and government officials put an end to such occurrences.

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How Can Geospatial Analytics Help Uncover Surprising Insights on Omnichannel Retail?

What is geospatial analytics? 

Modern technologies such as locations sensors or GPS tracking, mobile devices, and social media facilitate companies to collect “geo-referenced” data about practically any event. Geospatial analytics uses this data to build maps, statistics, graphs, and cartograms, which make complex data relationships more understandable. Geospatial analytics help companies to anticipate and prepare for possible changes that may occur as a result of the changing spatial conditions or location-based events. Advanced geospatial analytics also allows retailers to quantify the actual economic value of each of their stores across various channels.Get More Info

Geospatial analytics in omni channel retailing

Over the past several decades, retailers have been leaving no stone unturned for mining different data sets such as market trends, demographics, and point-of-sale information. But now, with advanced technologies and the availability of new types of data, retailers can gain a better understanding of the markets and consumers. Retailers can now analyze not just the quantity of customer traffic but also the quality of this data.

Omni channel retailing is now becoming a ‘hot trend’ among retailers. Retail companies are scrutinizing the interplay between online and offline customer decision journeys. Taking an omnichannel view of store performance allows each store to be rightly credited for all the sales in which it played a role, be it for offline or online sale. In doing so, retailers are getting a more accurate picture of each store’s total economic value and will be able to make better decisions about their omnichannel retailing presence. 

Some of the key benefits of geospatial analytics in omni channel retailing include:

Know where your customers live, work, and shop

With the help of geospatial data, companies in the omni channel retailing space can garner a better understanding of where their potential customers reside and they specific shopping habits and patterns. This would help make informed decisions on the site-selection, marketing, and product assortment for specific areas.

Determining store locations

Deciding on the store locations for a business is a crucial task, which involves intense planning and brainstorming since wrong decisions in this aspect could cost a company big money. By understanding key factors such as competitive presence, potential customer demographics, and access to supply chains, companies can make better omni channel retailing decisions so as to what would work better for each locality.Demo

Making real-time decisions

Geospatial analytics provides up-to-the-minute data on customer and vehicle locations, assets, sales, and environments into maps and analysis. This gives companies the time and space to decide on the changes to be made for resource allocation on a real-time basis.

Understand key factors of purchase

Retail companies use data-driven analysis on how and where customers interact the most with their brand. This would help them further strengthen their marketing and inventory decisions. Furthermore, they can also reduce or eliminate their investments into efforts that do not give the desired results or are seen to not create a satisfactory connect with the customers.


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