Geospatial Data Services

The significance of geospatial data services for businesses

Geographic Information Science (GIS) is no longer limited to geography and cartography. It has revolutionised how we interact with the world around us. From answering searches like ‘Nearest Coffee Shop Near Me’ to designing intricate location-based strategies for your business, geospatial data analysis has numerous applications for your business.

How can geospatial data analysis help businesses?

Geospatial data solutions has great potential to help companies, irrespective of industry, attract and retain customers. Spatial analytics offer:

• Enhanced predictive analytics and forecasting
• Visualisations that simplify complex interactions
• Improved marketing efforts

These analytics, in particular, enable comprehensive planning, prediction, and problem-solving by revealing unique insights into patterns, trends, and relations in one- or two-dimensional datasets. Here is how GIS applications and geospatial data analysis can help businesses:

• Choosing the right location: Despite the rapidly growing digital business ecosystem, physical stores still play a crucial role in the success of a company, especially in the case of retail and consumer goods industries. Effective utilisation of geospatial technologies and data analysis helps you in understanding the market conditions and customer preferences at the prospective site and predict business performance. You can use geospatial data to evaluate factors, such as the presence of competitors, customer interests, and traffic levels, and draw actionable insights in choosing the right location.
• Optimising supply and distribution routes: An optimised supply chain is the backbone of any company, while supply and distribution routes form a crucial component of a supply chain. Geospatial data helps you in locating warehouses and optimising routes to reduce logistics costs, streamline inventory management, and improve delivery efficiency. In case of any supply challenges or delivery descriptions, GIS applications and geospatial data proves useful in identifying, analysing, and eliminating the issue for seamless future operations.
• Segmenting and targeting customers: A careful segmentation and targeting of customers is essential for a business to succeed. Geospatial data offers insights into products or services regularly used by customers and their evolving purchase behaviour. Understanding these aspects allows companies to formulate and conceptualise sophisticated segmentation and targeted marketing campaigns to attract and retain customers. You can also analyse if customers have recently switched over to competitors and try to retain them by clearly distinguishing your value proposition from the competitors while focusing on loyalty programs and discounts.
• Analysing future market trends: Geospatial data analysis, along with artificial intelligence and predictive analysis tools, helps analyse consumption patterns to improve sales strategy and forecast future market trends. Through these insights, you can design and implement a location-based strategy to boost your efficiency and performance.

Industries using geospatial analysis for better performance

Organisations worldwide are using geographic data analysis to enhance consumer conversion rates. Some of the illustrative industries that use GIS and geospatial analysis for better performance include the following:

• Government:

  The ‘big picture’ seen through geospatial data offers actionable insights surrounding topics, such as public health or weather. Such insights help government agencies better predict, control, and manage natural disasters or pandemics and minimise on the public.

• Manufacturing:

  With a focus on applications of GIS in the retail sector, consumer goods manufacturers can utilise geospatial data analysis to understand purchase behaviour and identify the customers' brand preferences. These insights help manufacturers plan and manage their supply chain effectively for optimum efficiency.

• Marketing:

  Applications of GIS, combined with social media analytics and big data applications, help marketers understand customer segments better. More sophisticated customer segmentation, enabled by geospatial data analysis, leads to the development of targeted marketing campaigns that both excite new customers and deepen engagement with existing customers.

• Utilities:

  Utility companies can integrate customer and service data, such as billing records, outages, and predictive analysis, with geospatial analysis to get a clearer picture of the neighbourhoods served. This, combined with the information, such as weather patterns or potential descriptions, helps utility companies to manage risks through optimally scheduled maintenance activities and crew movements and increase overall delivery efficiency.

For organisations on the digital transformation journey, agility is key in responding to a rapidly changing technology and business landscape. Now more than ever, it is crucial to deliver and exceed on organisational expectations with a robust digital mindset backed by innovation. Enabling businesses to sense, learn, respond, and evolve like a living organism, will be imperative for business excellence going forward. A comprehensive, yet modular suite of services is doing exactly that. Equipping organisations with intuitive decision-making automatically at scale, actionable insights based on real-time solutions, anytime/anywhere experience, and in-depth data visibility across functions leading to hyper-productivity, Live Enterprise is building connected organisations that are innovating collaboratively for the future.

How can Infosys BPM help?

Infosys BPM Geospatial Data Services is the perfect solution for all your mapping needs. With a proven GIS Centre of Excellence, you can avail GIS consulting, spatial data management and analysis, application support and maintenance, and project management services under one roof. Rely on the team of Infosys BPM experts to lower costs, improve availability, and enhance quality throughout your company.