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The Spatially Enabled Enterprise: Using Location Data, Mapping, and Spatial Analysis to get more value from your SAP investment.

 

SAP business systems contain a gold mine of location data that’s just waiting to be tapped. Customer addresses, store locations, sales territories, and supply chains are just some of the data you can map, analyze and deliver to SAP users to enhance real-time decision making, improve operational efficiency, and facilitate collaboration across the enterprise.

 

In a spatially enabled enterprise:

  • Retail merchandisers can decide which products to buy based on local demographic and lifestyle data.
  • Insurance risk managers can analyze local risk factors and conduct “what-if” analysis using powerful predictive spatial models.
  • Supply chain managers can ensure that stores or factories have enough stock to meet demand based on real-time shipment tracking, natural or man-made disruptions to the supply chain, or spikes in demand based on local events.

 

These are just a few of the hundreds of use cases business have found for location analytics.  They all take advantage of at least one of four key capabilities that a location platform can deliver.  These include:

 

Spatial Visualization: Enabling Better Decisions

The first job of a spatially enabled application is usually to put the data on a map so users can see its location.  This “dots on a map” approach lets you see your data in geographic context, which usually leads to more questions and insight-driven conclusions such as:

  • Why are best my customers clustered around this location?  It looks like freeway access may have something to do with it.
  • Where are the service calls to schedule today located?  It looks like I can group them geographically to save on travel time and get more work done.
  • What suppliers will the tsunami impact?  It looks like I need get materials from a vendor outside of the affected area.

Seeing data on a map, in context with its surroundings, leads to quicker and better decisions because maps play to peoples’ innate spatial reasoning capabilities in a way that’s not possible with bar charts and other traditional visualization options.

 

From the shop floor to the boardroom, managers and executives can go beyond dots on a map to intuitive, interactive maps, story maps and infographics that bring data together from SAP and other sources to create actionable information products and a collaboration environment centered on the ubiquitous, universally understood map.

 

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Interactive Story Map on Non-Performing Loans

 

Data Access: A Map-based User Interface Lets Users Access Related Data Across All SAP Systems

Getting data into SAP is often far easier than getting it out.  With so many SAP applications based on so many data models and hierarchies, it can be a challenge to navigate quickly to the correct information.  A simple object, such as a building, may be represented at one hierarchical level in SAP Enterprise Asset Management, but may sit at different levels in Real Estate, Project System, Environmental Health and Safety and other SAP applications.  Even with application-specific training and a cheat sheet, navigating to the right record can be difficult, and if you are not familiar with the application it’s nearly impossible.

 

Spatially enabled SAP applications let users retrieve data from SAP or other sources simply by clicking on objects displayed on a map. It requires no understanding of data hierarchies, search codes, or how to navigate menus.  From a spatial point of view, for example, a building occupies a single geographic position that can be used to access data from any level of any hierarchy or other data structure within SAP.  In effect, the map serves as a front-end gateway, pulling together related data from all of your SAP applications into a single, unified view.

 

Whether you select a single object or multiple objects, manually or with a spatial selection tool, a spatially enabled SAP environment greatly improves the speed and accuracy of getting data out of SAP applications.

 

Taking Action: Executing SAP Transactions by Clicking on a Map

Armed with new insights from your spatial visualization, and the right data from SAP and other sources, you know what do. But how should you do it?  You could fire up an SAP application to launch a transaction, but why not do it right from the map?

 

In a spatially enabled enterprise, users are not limited to viewing the underlying data; they can also use the map interface to transact with it. When a user right-clicks on an object, for example, a menu of options might appear to release an order, optimize a route, or delete a location from the map — and it can be configured to modify the underlying data from the SAP system as well.

 

The map should be considered a first class citizen among other SAP user interfaces. It can initiate transactions to create, read, update and delete SAP objects and associated data, depending on the user’s permissions.  Visual verification that you have selected the right SAP object and are accessing the right data for making a decision can prevent costly mistakes, such as sending a crew – or parts – to the wrong location.

 

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Accessing Data from both SAP EAM and SAP Real Estate and Taking Action (View Master Data, Create Notification, Create Work Order)

Spatial Analysis: Optimizing Your Operations

Business intelligence and analytic tools have traditionally been weak on spatial analysis. Most only let users plot dots on a static map, pan and zoom on an interactive map, or click on dots on maps to bring up a new window with additional information about the object.  Few use a robust spatial model and spatial analysis tools to exploit the relationships among the mapped objects.  With spatial analytics users can:

  • Trace a power network to find all customers affected by an outage.
  • Extract demographic data to a custom trade area by overlaying it with census block groups.
  • Predict the likelihood of finding oil or contaminants between sample points.
  • Optimize the operation of a fleet of a hundred vehicles that service hundreds customers each day.

Tasks such as these require advanced spatial analysis tools. Typically they work outside of the traditional business intelligence (BI) world, performing analyses users just can’t do in their heads, no matter how good the visualization or how spatially adept the user is.

 

A spatially enabled enterprise can deliver ubiquitous access to advanced spatial analysis and embed that information within operational applications such as SAP Lumira or SAP Business Suite, as well as other enterprise applications. The user sees the results without needing to understand and use the location technology that created it.

 

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SAP Real Estate – Address Geocode, Drive Time Analysis, Demographic Data Enrichment

 

The Big Picture

Most organizations today have begun to use location technologies, but only for basic visualization and data access.  Most have incorporated the ability to refresh associated charts, graphs, and tables based on a spatial selection, or refresh a map based on a report filter. There is a lot of room for improvement. Business analysts should have some training in map visualizations and spatial analytics. Real-time spatial data should be delivered to the enterprise at big data scale.  Spatial visualization and analysis should be pushed down to the operational level, where the many small decisions that ultimately determine profit or loss are made by SAP users every day.

  • Better maps.
  • Real-time data.
  • Operational access to focused, packaged spatial apps and tools.

 

A location platform can access the wide variety of spatial data held in departmental systems, ranging from spatially enabled databases like SAP HANA, to Hadoop, spreadsheets, and other spatial files. The platform needs to be exceptionally good at all four major spatial use cases:

  • Visualization
  • Data access
  • Integration with business and decision support systems
  • Advanced spatial analysis

Finally, the platform should enable the enterprise to communicate and collaborate around its story maps as effectively as it does with BI storyboards and other collaboration tools.  In the spatially enabled enterprise, spatial data, visualizations and analytics are corporate assets that increase productivity and profitability.

 

Does your organization have a location strategy?

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