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Spatial data critical to intelligent enterprise

Matthew Zenus, Global Vice-President, HANA & Analytics, Solution Strategy at SAP

Automation driven by Artificial Intelligence and Internet of Things improves business processes that would have been time consuming and inefficient. These technologies tremendously increase the amount of geospatial data that is produced on a daily basis, and therefore, improve decision-making abilities. Incorporating location data and spatial analysis can bring businesses closer to process optimization and improve strategic insights, innovations and more.

5G will increase the abilities of IoT und push the movement towards edge computing, which will change how geospatial data gets analyzed. Through a clear and defined data management strategy, organizations will be able to collate all data from different sources and act on data-driven insights to make better decisions and improve innovations.

Earning trust in digital world

Technology bridges the gap between experts, departments and other silos. Digitalizing businesses eventually means getting all resources together to follow-up on one business process towards a common goal. As the digitalization process continues to evolve, organizations need to understand how their customers and employees are feeling so that they can deliver better and more personalized experiences. Technology is making it easier than ever for organizations to do this and successfully manage experiences with their customers, employees, products and brand.

Spatial data is a critical part of this experience management. It has become a ubiquitous and critical data element in today’s Intelligent Enterprise. Customers expect to seamlessly leverage spatial and enterprise data together to unlock better insights, make more informed business decisions and ultimately achieve greater innovation. It addresses the question of ‘where’, so we can better fill the experience gaps and determine what to do about them.

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Customers expect seamless and elegant product experiences. To deliver this, organizations need to be transparent about their solutions and address the availability, security/privacy and data quality/lineage. It’s imperative to be responsive to customers’ evolving needs and requirements. Similarly, the same responsiveness needs to be shown internally.

Overcoming data privacy challenge

Most projects fail because of challenges related to getting sufficient data, integrating data and data privacy. However, with the correct architecture and data management strategy that takes these challenges into consideration, organizations can better maintain innovation. The right foundations will address problems like data sprawl and data privacy. By pooling commercial, open-source data from multiple sources and utilizing anonymization capability within a single data platform, organizations will be able to develop new and innovative products far more efficiently than they can today.

It will be critical for companies to adopt a single platform that connects the right data with all of the data security and privacy capabilities built in directly, such as data anonymization. With this, companies can bring in the right experience management tools to collect experience data at every meaningful touchpoint. This will empower them to analyze and understand customers’ feelings regarding the handling of personal data and improve customer trust.

Tiding over global slowdown

By utilizing operational data to show what’s happening in the business and also experiencing data to understand the feelings of the people involved and why things are happening, businesses can remain ahead. We need to understand how our customers and employees are feeling and deliver better and more personalized experiences that make them happy. It’s critical to listen to the customers demands, challenges and pain points, and truly partner with them — not just sell to them.

In this context, geospatial technology can be used to make better decisions and is an important part of core business and experience management. Customers expect to seamlessly leverage spatial and enterprise data together to unlock better insights, make better business decisions and ultimately achieve greater innovation.

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