28
To Be Business Intelligence You Must First Be Location Intelligence The Business Case for Spatial Analysis Helen Thompson Esri

To Be Business Intelligence You Must First Be Location

  • Upload
    others

  • View
    1

  • Download
    0

Embed Size (px)

Citation preview

Page 1: To Be Business Intelligence You Must First Be Location

To Be Business Intelligence You Must First Be Location Intelligence

The Business Case for Spatial Analysis

H e l e n Th o m p s o nE s r i

Page 2: To Be Business Intelligence You Must First Be Location

“Esri’s data-rich maps are the

secret weapon behind many of

today's most successful brands“

Fast Company

Page 3: To Be Business Intelligence You Must First Be Location

geo•graph•ygraph•ygraph

Page 4: To Be Business Intelligence You Must First Be Location

BlockchainAutonomous Vehicles

Digital TransformationDrones

Augmented Reality

Big Data

Artificial Intelligence

Smart CitiesIoT

Smart Grid

Retail 2.0

Page 5: To Be Business Intelligence You Must First Be Location

Location is EverywhereEvery twenty-first century dataset contains location

Location is Everywhere and Everything

Page 6: To Be Business Intelligence You Must First Be Location

The Lens of Location AnalyticsCombining many different data sources and types

Structured &

Unstructured

Time & Space

aka “Place”

Social and

Behavioral

Detect the Signal in the NoisePatterns of the past, prescriptions for the future

Page 7: To Be Business Intelligence You Must First Be Location

The World is Increasingly InstrumentedEverything can now be measured, analyzed, quantified

Forecasting Futures

RedefiningPossibilities

ExplainingRelationships

Page 8: To Be Business Intelligence You Must First Be Location

The Lens of Location AnalyticsInterconnecting people, place, purpose, time, activity

Hard“What nearby restaurant,

open now, serves wings”

Very Hard“Where’s the best place to open

a buffalo wings restaurant”

Simple“What restaurants

are nearby”

Page 9: To Be Business Intelligence You Must First Be Location

Location + Time = ContextWhat people are doing, who they are, what’s on their mind

Page 10: To Be Business Intelligence You Must First Be Location

Operations

Planning

Risk Management

Logistics and Distribution

Performance Management

Driving improved strategic and operational excellence

Transportation

Page 11: To Be Business Intelligence You Must First Be Location

Operations PlanningRisk

ManagementLogistics and Distribution

Performance Management

Improve visibility and asset monitoring

Improve real-time reporting and decision making

Improve reporting and compliance

Increase decision transparency and executive oversight

Minimize deviations and impact of interruption

Optimize asset usage and performance

Expand services, markets and routes

Improve scheduling and predictability

Analyze operational connections and dependencies

Increase work force and supplier engagement

Mitigate risk or disaster impacts

Improve preparedness

Increase operational and organizational resilience

Improve business continuity and responsiveness

Reduce disruption and impact to customers and products

Improve asset performance and per unit profitability

Improve return on capital investment

Reduce waste and route deviation

Improve process and performance insight and monitoring

Enhance decision collaboration and information sharing

Optimize distribution and asset performance

Improve planning, scheduling and budgeting

Improve performance and visibility cross transport types

Reduce exceptions, customer dwell and missed schedules

Page 12: To Be Business Intelligence You Must First Be Location
Page 13: To Be Business Intelligence You Must First Be Location

Network

Planning

Marketing

Risk Management

Corporate Security

Performance Management

Optimizing life time value and customer engagement

Financial Services

Page 14: To Be Business Intelligence You Must First Be Location

Network Planning

MarketingRisk

ManagementCorporate

SecurityPerformance Management

Enhance strategy for new site selection

Analyze proper balance of stores per market

Increase visibility and collaboration into scheduling, budgeting, planning and decision making

More efficient store (re)development projects

Increase customer understanding based on life-time value to organization

Decrease risk of losing best customers to competitors

Increase return and effectiveness of spend

Improved marketing strategy and customer targeting

Quantify risk within portfolio using socio-economic and hazard data

Analyze risk by local market conditions

Perform analytics on perspective commercial loans

Understand impact of natural disaster on portfolio

Create greater efficiency across operations using geographic context and data

Analyze share of wallet and performance by location, product, etc

Identify patterns, generate insight and market opportunity

Analyze campaign gaps and performance by market and segment

Improve corporate security and real-time resilience

Better plan, prioritize and allocate asset protection resources

Forecast, monitor and mitigate the impact of man-made and natural threats

Improve personnel protection and security

Page 15: To Be Business Intelligence You Must First Be Location
Page 16: To Be Business Intelligence You Must First Be Location

Market

Planning

Marketing

Risk Management

Site

Analysis

Portfolio

Management

Enhancing strategic investment and development decisions

Real Estate

Page 17: To Be Business Intelligence You Must First Be Location

Market Planning

MarketingRisk

Management

Site

AnalysisPortfolio

Management

Understand how much to invest, where and when for maximum ROI

Readily analyze national and local linkages to improve understanding

Improve decision-making and timing with the lens of location

Optimize development strategies with hyper-local insight

Determine highest and best use to shape and prioritize investments

Improve audience engagement and storytelling appeal

Increase returns on marketing spend

Create interactive, digital flyers, pitch books and collateral

Easily combine creative and design tools with spatial data and maps

Improve collaboration across teams and the entire organization

Reduce investment and execution risk with improved financial analysis and forecasts

Improve the quality and strategic value of client advise and engagement

Enhance competitive and tenant mix analysis

Reduce physical and execution risk using socio-economic and hazard data

Enhance monitoring and surveillance

Better understand when to sell, when to re-invest and enhance disposition strategies

Enhance portfolio diversity and adapt to local market trends

Improve tenant mix, investment analytics and competitive development with improved local market knowledge and insight

Improve facilities management and indoor analytics

Enhance site analysis and user selection

Invest in the best sits using benchmarking and suitability analysis

Simplify highest and best analytics workflow and data integration

Improve workflows and collaboration between executive, marketing and research teams

Reduce costs while improving results and performance metrics

Page 18: To Be Business Intelligence You Must First Be Location
Page 19: To Be Business Intelligence You Must First Be Location

Market Development

Marketing

Store and Risk Operations

Logistics and Distribution

Buying and Merchandizing

Creating a customer-centric view across the entire organization

Retail

Page 20: To Be Business Intelligence You Must First Be Location

Market Development

MarketingStore and Risk

OperationsLogistics and Distribution

Buying and Merchandizing

Enhance strategy for market development and site selection

Analyze and optimize stores distribution against market demand

Maximize the coverage of “best” customers and profitable segments

Increase visibility and collaboration into scheduling, budgeting, planning and decision making

Increase customer understanding using location, social and movement data

Increase ROI on market spend

Decrease competitive customer losses

Understand purchase and engagement channels

Contextually enrich real-time and big data

Improve operational performance and measurement

Quantify risk within portfolio using socio-economic and hazard data

Enhance fraud analysis, loss prevention and surveillance

Better allocate asset protection based on trends and patterns

Improve merchandize mix and category management

Enhance product localization while reducing inventory

Improve customer understanding and engagement

Improve assortment and store configuration

Reduce out of stock and overstocks

Optimize distribution and network planning

Improve customer delivery and distribution strategies

Visualize, monitor and respond to supply chain interruption and risk

Optimize supply chain to reduce logistics costs and volume

Improve customer response and service

Page 21: To Be Business Intelligence You Must First Be Location
Page 22: To Be Business Intelligence You Must First Be Location

Operations Planning

Production and Compliance

Risk Management

Logistics and Distribution

Performance Management

Maximizing customer insight and product availability

Manufacturing

Page 23: To Be Business Intelligence You Must First Be Location

Operations and Planning

Production and Compliance

Risk Management

Logistics and Distribution

Performance Management

Optimize warehouse and DC placement

Minimize the cost to service and supply a market

Improve balance of facilities and production per market

Maximize market reach with minimum costs

Identify and service best customers in market

Improve ROI on capital projects and expansion

Enhance SLA compliance and reduce penalties

Improve customer service and life time value

Optimize production efficiency and stock management

Improve facilities management

Ensure product and work force security and compliance

Analyze economic and operational risk by local market conditions

Improve work force safety and asset protection

Monitor physical, environmental and socio-economic risks

Understand impact of natural disaster

Assess business loss, interruption and develop contingency plans

Visualize KPIs

Integrate with BI to provide additional insight through maps and spatial analytics

Visualize performance by location, by product

Increased visibility and collaboration across scheduling, budgeting, planning and decision making

Optimize distribution and network planning

Visualize supply chain risk and performance

Optimize supply chain and reduce inventory volume

Reduce Third-party Logistics (3PL) costs

Improve customer service and response time

Page 24: To Be Business Intelligence You Must First Be Location

Underwriting

CAT Management

Claims Management

Performance Management

Sales and Marketing

Creating a customer-centric view across the entire organization

Insurance

Page 25: To Be Business Intelligence You Must First Be Location

UnderwritingClaims

ProcessingPerformance Management

Sales and Marketing

Gain a more detailed

understanding of

portfolio risk impacts

Improve policy pricing

accuracy and overall

competitiveness

Prospect for clients

while accounting for risk

Improve accumulation

analysis and decision

making across the entire

organization

More accurately model, visualize and understand single or multiple hazards

Improve pre-event planning, in-event execution and post-event response

Improve monitoring, coordination and analysis of events via a single view of risks

Deliver improved and more proactive customer service

Improve efficiency in servicing claimants and exceeding their needs

Optimize loss adjuster deployment and in-field management

Manage real-time loss information to reduce response and costs

Predictive analytics to automate or optimize the deployment of resources

Improve fraud analytics

Streamline the creation of agent territories and lead sourcing

Improve customer marketing and reduce competitive pressure

Increase returns on marketing spend and customer life time value

Apply the right marketing strategy to the right customer by territory or market

Streamline analysis and integration with enterprise systems

Visualize sales performance by location, by product

Uncover geographic patterns and trends not visible via other techniques

Improve efficiency across operations using geographic context and data

CAT Management

Page 26: To Be Business Intelligence You Must First Be Location

Actionable Advice Over AnecdoteClients expect guidance and direction not data

“Without data, you’re just another person with an opinion.”

W. Edwards Deming

Page 27: To Be Business Intelligence You Must First Be Location

All Business will be Geo-EnrichedReshaping expectations, strategies and execution

Minimizing Business

RiskImproving

OperationalPerformance

MaximizingCustomer

Satisfaction

Page 28: To Be Business Intelligence You Must First Be Location

HELEN THOMPSONEmail : [email protected]