Data Integration + Location Intelligence = Better Decisions

2. Create harmony between data and applications What do you mean by location intelligence? Depends who you are and your perspective… …is location intelligence just the newest buzz word for spatial analytics, geographic information systems (GIS)? … is it the ability to visualize spatial data and understand relationships between specific locations, helping you make better strategic business decisions? … is it the combining of location-related data with other business data that allows you to see you business data with a different perspective?

3. Create harmony between data and applications What do we mean by data intelligence? Data integration. Spatial relationships. Better Decisions..

4. Create harmony between data and applications Data integration. Data formats:  Excel  CSV or delimited text  Databases  Cloud datasets  GIS Added Value:  Geocoding  Drive time polygons  Demographics data Merging data:  Joining  Appending Filtering:  Conditional testing  Spatial filtering  Data cleansing

5. Create harmony between data and applications Spatial relationships. Spatial Filtering: Nearest Neighbor(s):

6. Create harmony between data and applications Demo 1: Data integration.

7. Create harmony between data and applications Data integration. Spatial relationships. Better Decisions.

8. Create harmony between data and applications Better Decisions. Output formats:  Excel  CSV or delimited text  Databases  GIS (MapInfo)  PDF Automation:  Daily reports  Standardized templates Summaries:  Pivot tables  Statistics Reporting:  Charting  Tables  Mapping

9. Create harmony between data and applications Templating with Excel.  Utilize Excel to present your data  Automatically repopulate tables and charts with new data

10. Create harmony between data and applications Standardized PDF Reporting.  Get to the point!  Summarize Spatial and Tabular data in a formatted PDF

11. Create harmony between data and applications Demo 3: Better Decisions.

12. Thank You!  Questions?  For more information:  info@safe.com  www.safe.com

Notas do Editor

You need Location Intelligence tools if… you use geospatial information to interpret marketing and operations data? you engaged in analyzing customer demographic information? you find yourself asking "where is this happening" when you look at spreadsheets of sales data?...then aLocation Intelligence application can probably help you.
We see three ‘chapters’ to the Location Intelligence / Spatial Analytics story:Data IntegrationBring data togetherMultiple formatsMerging dataFiltering dataAdded valueGeocodingRoutingSpatial relationships – light weight GIS operationsPoint – to – point relationshipsPoint – to – area relationships (Drive time areas)Better DecisionsReportingSummary
Data IntegrationMultiple formatsCSV ExcelDatabaseCloud - SalesForceGIS - mapinfoMerging dataJoining vs. appending vs. aggregatingFiltering dataTestingCleaning – filtering out bad dataAdded valueGeocodingRouting
Typical types of Spatial Interaction for Location Intelligence.Point – on - areaAreas Buffering – buffer a line to get a region of interestVoronoi polygons – all points inside the area are closest to the seed pointPoint – to – pointSame dataset to itself. i.e. dataset of cell towers and we want to find the closest three towers to the current towerDifferent datasets. How close is this business to the food vendor? 1:1 type of relationshipDifferent datasets. Which locations closest too which sites - M:1 type of relationship : i.e. all the customers closest to this event
How is one set of data related to another – or to itself
1 demo here:This workspace shows the three broad areas of Location Intelligence as we see it.Full demoData Integrations (EXCEL, MAPINFO, SalesForce)Filter/Test – attribute & spatial filtering. + adding valueMerging – merging using attribute & spatial characteristicsOutput – only to CSV here but we’ll show PDF next.
For reference only
For reference only
For reference only
For reference only
Two demos to choose from (I wouldn’t do both):02a. Nearest&Dearest v01 2014.fmwPoint-to-point comparison. GeographicNeighborFinder allows you to select the search range in M,FT, Miles,KMFind the three nearest points. Also creates the vectors for visualization.02b. ZipCodes v01.fmwFor each event location, which is the nearest ZIP code. This example builds a Voronoi area for each zip code and then for each area matches the event
Two examples to choose from:03a. ChartTemplate.fmwShows writing to Excel with some formatting options set (using an XSLX file as a template and Custom Formatting on the feature type)03b. PDFTemplater.fmw

Data Integration + Location Intelligence = Better Decisions

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Data Integration + Location Intelligence = Better Decisions

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