Download - Spectrum Spatial BI location intelligence
BI + LI: A marriage of necessities Clarence Hempfield
Director, Global Product Strategy
Pitney Bowes Software
April 2, 2014
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The location imperative
80% of business data has a location component
• Static
– Addresses of customers, stores,
all assets
• Dynamic
– Traffic flow analysis
– Demographic and behavioral analysis
– Real-time presence sensitivity
Answers fundamental BI questions
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And yet … it is under utilized
“ In virtually all BI implementations today,
location information isn't ignored, but it is
pretty much used exclusively as a descriptive
attribute or very coarse-grained and often
static dimension.”
Andreas Bitterer, Gartner, 2012.11.23
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The tide is turning
Geospatial analysis in BI will double
by 2016 (The Data Warehouse Institute, December 2013)
Vendors are stepping up
• BI platforms adding geoanalysis/LI
• GIS tools offering platform-specific
solutions
• Consumer mapping and SaaS
• Commercial-grade, standards-
based solutions
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BI + LI is ‘a marriage of necessities’
BI users today face two questions:
• What’s the best path to the altar?
• How can we make this marriage last?
Two challenges must be met
• Business drivers
• Technology drivers
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Business challenges
Massive existing investments
• In multiple BI software tools
• In business analysts who use them
The BI world is a multiplatform world
• Agility and speed-to-insight paramount
• No single “magic bullet” BI solution
Data quality/integrity a crucial concern
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The ideal BI + LI solution
Supports
– Interoperability
– BI processes
– Data management best practices
Integrates superior LI functionality
– Geocoding
– Mapping
– Time/distance analysis,
routing
– Data-driven insights
– Performance
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Enabling BI + LI integration
Satisfy requirements at three levels
• Data
• System
• People
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The data requirement
Accuracy, completeness, integrity
Across the location-enablement process
– Identification of data and uses
– Data cleansing
– Geocoding
– Data enhancement/integration
– Modeling and spatial analysis
– Delivery of insights to applications and processes
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The system requirement
Minimize complexity
• Limit burden on IT staff
• No new siloes
Support interoperability with BI platforms
Support open standards
• WFS, WMS, WMTS, etc.
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The people requirement
Utility
Flexibility
High performance
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BI + LI: Paths to the altar
Forklift upgrades
Custom integrations
Discrete integrations
Consumer mapping and SaaS solutions
Standards-based, commercial solutions
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Forklift upgrades, custom and
discrete integrations
Advantages
• Tighter integration
• Some performance benefits
• Suited to GIS-intensive
applications
Disadvantages
• Expensive
• Slow time to value
• Installation, integration,
maintenance
• User training
• Interoperability
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Consumer mapping and SaaS solutions
Advantages
• Lower initial cost
• Familiarity to mainstream users
Disadvantages
• Lack functionality and
third-party data
• Lack interoperability
• May not be suited to enterprise
use
• Data security/ownership
concerns
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Standards-based,
commercial-grade solutions
Advantages
• Interoperates with multiplatform BI environment
• Less expensive than integrations
• Familiar BI user interface
• Broad utility
• Accelerated time to value
• Commercial grade and secure
• Easier to maintain and upgrade
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Spectrum Spatial for BI merges location intelligence into enterprise
business visualization platforms, delivering highly customized and
current, spatially enabled reporting.
Business Intelligence (BI) Location Intelligence (LI) -applications, -Geocoding
-infrastructure, -Point in polygon
-tools, -Thematic mapping
-best practices, -Hot spot analysis
-analytics and -more
-accessibility to information that improves
or optimizes decisions and performance.
Spectrum Spatial for BI will integrate the two
Introducing Spectrum Spatial for BI
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A few benefits of Spectrum Spatial for BI
• Provide consistent capabilities across a wide array of BI
• Leverage existing investments in data warehouses
• Utilize existing access mechanisms (e.g. Web based portals)
• Maintain security within the BI solution
• Rapidly perform analysis using current, accurate and relevant data
• Empower the business to improve decision-making and results
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The best path to BI + LI
Preserves existing investments
• BI software, data and people
Accelerates time to value
Easy to integrate, maintain
and upgrade
Improves decision-making
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Spectrum Spatial for BI
Not just “a marriage of necessities”
BUT
A “happily ever after” union of BI + LI
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Example using a full-bleed image
Follow @MapInfo from Pitney Bowes
Visit www.mapinfo.com
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About the Author
Follow Clarence at @CHempfield
http://www.mapinfo.com/author/chempfield