Esri Location Analytics reveals relationships and patterns in enterprise data using location. It extends traditional applications by providing complete information and analysis. Location analytics allows businesses to maximize advertising dollars, governments to see spending patterns, and first responders to access digital floor plans during emergencies. Putting location at the center of analysis provides deeper insights, more powerful analytics, and richer information for improved decision making.
The ArcGIS platform for national security is designed to deliver relevant content through simple applications aligned to the business need of each person in an organization.
The ArcGIS platform for national security is designed to deliver relevant content through simple applications aligned to the business need of each person in an organization.
Read the paper titled Improving Patient Care and the Bottom Line .docxangelicar11
Read the paper titled “Improving Patient Care and the Bottom Line with Location Analytics” Page 8-12 only (Not all the whole document)
And address the following in 500 words (in two pages regular/Standard Margin):
Section 1 - Overview / summary of the reading - this may include:
· What are the key points?
· What was learned?
· What are the most important issues?
· Why is it important (or not)?
Section 2 - Your reaction and wider implications - this may include:
· What do you agree/disagree with and why?
· What critiques do you have?
· What additional things do you want to learn?
· What questions does this reading raise?
· What related examples have you found or observed in the real-world?
· Links to other relevant materials (websites, videos, etc.)
Enrich your Data with
Location Analytics
Sponsored By: §.sas
PAGE 2
Table of Contents:
Page 3 The Future of Location Analytics:
Q&A with Tapan Patel and Murali Nori of SAS
Page 8 Improving Patient Care and the Bottom Line with Location
Analytics
Page 13 Location Analytics Use Case: Connected Vehicles
Page 16 Enhancing Your BI Systems with Location Analytics:
The SAS® Vision
Page 18 Location and Insight in the Age of the Internet of Things
Page 21 The Value of In-House Alliances in Adopting Location Analytics
Page 24 How Spatial Analysis Leads to Insight
Page 28 Prescriptive Analytics Project Delivering Big Dividends at UPS
Page 31 Pokémon GO and Monetizing the Massive Value of
Geolocation Data
PAGE 3
Sponsored by
The Future of Location
Analytics: Q&A with Tapan
Patel and Murali Nori of SAS
Nicole D’Angelo
1. Organizations are already collecting vast amounts of data
from a myriad of sources. Why should they add location data to
the analytical mix?
The most common uses of analytics and reporting are based on
business data. Location information doesn’t get much attention.
But all business has to happen somewhere. The Internet of Things
has created connected cars, connected people, and analytics at
the edge, and this technology is making business rethink some use
cases. Location will be an important aspect for these kinds of things.
Driverless cars, Uber, drones—all are evolving, and real technologies
and business models are being built around them. These all rely on
location as an important facet, thus making location an important
aspect of business analysis and business data that organizations
need to pay more attention to.
2. What business issues have you seen being solved by using
location analytics?
Some are covered above. Add to that, business scenarios
where location is a primary factor, such as property insurance
companies trying to determine the price of insurance based
on location, healthcare organizations trying to understand the
types of services needed based on the demographic data of a
city or location, or new transportation companies, like Uber and Lyft, analyzing and
understanding the use of their servic.
Data science is the practice of extracting, analyzing, and interpreting large amounts of data to identify trends, correlations, and patterns. It combines machine learning, statistics, programming, and data engineering tools to uncover insights that can inform business decisions. Data scientists collect, organize, and analyze large amounts of data to find valuable insights and make predictions. Data science can be used in various industries, from finance and health care to retail and advertising. By leveraging data-driven decision-making, companies are able to gain a better understanding of their customers, identify new growth opportunities, and optimize their operations.
freeDatamap whitepaper - data visualization BI & GIS -free datamap
Mind Mapping + Business Intelligence = freeDatamap.
Unchain your data with the lightest and most intuitive self-service BI platform. Try a new data browsing experience thanks to a holistic and organization-wide dashboard to understand all the key aspects of your business in a unified data map.
With freeDatamap, access the right data, share the knowledge, break silos, help data to go “social”, make data available and collectively enriched.
• Find your way in an overwhelming amount of information.
• Visualize your data in a centralized trusted map.
• Display your business process across your organization.
• Navigate into the map and drill down to find the root cause of an indicator.
• Find any atomic data thanks to a powerful and immediate search engine.
• Reduce time to make fact based decisions.
INIA- CISA: Análisis de las amenazas en la fauna silvestreEsri
El Centro de Investigación en Sanidad Animal del Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria utiliza la tecnología SIG para una mejor comprensión de las amenazas a las especies silvestres y su asociación con las actividades humanas
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
2. Esri®
Location Analytics reveals the where in corporate
data. It extends the value of traditional applications. The
result is access to complete information and analysis
at every level. You unearth relationships, patterns, and
trends that would otherwise remain buried. You make
more accurate decisions. Visually.
Businesses instantly see where to maximize their
advertising dollars. Government agencies show taxpayers
where and how they spend money. Fire fighters get the
digital floor plan before they enter a burning building.
Hospitals calculate demand for new vaccines or make
sense of flu outbreaks. All by using the power of where.
What Is the Question.
Where Is the Answer.
Business success in the current
era of data overload requires
better information combined
with better analytics. But
what is better? The answer is
location. When you put where
in your enterprise, a new world
of understanding opens.
3. Deeper Insight
See your data in new and provocative ways.
Esri Location Analytics lets you visually explore
and craft business intelligence far beyond
putting dots on a simple map. Use geography
to identify relationships and patterns that charts
and graphs don’t reveal. Without smart maps,
you’re only getting half the picture, and you
could be losing ground to your competitors.
More Powerful
Analytics
Map-driven analysis provides a new way to tackle an
old problem—how to query and manipulate data.
People at all levels of an organization can employ
geography to view, analyze, and understand business
performance. Take the risk out of business by asking
new questions and getting precise answers.
Richer Information
Get the complete picture. GeoEnrichment allows you
to take advantage of location in every type of decision.
When you tap into demographics, lifestyle, business,
and weather data, you create a more accurate and
actionable plan for success. Add real-time visualizations
when you need them.
Big Data, Only Better
Take back control of your big data. No matter the size
and complexity of data, you can make the difficult
easy and the complex consumable when you employ
Esri Location Analytics. Location brings it together.
Maps separate the usable from the unusable.
4. Every Industry,
Every Need
The global marketplace—business, government, energy, natural
resources, and health care, etc.—today is beginning to recognize the
value of mapping business activity. Managers, executives, and frontline
staff can all use location analytics and map data for everything.
• Business intelligence (BI)
• Customer relationship management (CRM)
• Enterprise resource planning (ERP)
• Enterprise asset management (EAM)
• Real estate planning
• Field work force management
• Risk management
• Operational awareness
5. Location analytics improves:
Retail: Compare sales territory revenue and profitability by
region and location. Analyze marketing campaign effectiveness.
See where customers live to determine where to open stores
and distribute products.
Insurance: Analyze Total Insured Value (TIV) by region. See revenue
or losses by sales territory. Compare claims by market. Identify fraud
by visually analyzing claims and incidents in a market. Perform risk
analysis based on multiple variables.
Financial: Examine total deposits, household savings, household
automotive loans, and liquidity by region and branch. Grow line-of-
business collaboration across departments with economic forecasts,
neighborhood studies, and territory analysis.
Energy: Improve service while reducing costs. Compare power
outages and associated costs and anomalies in delivery. Employ
customer location-based analysis on products and services to
boost revenues.
Transportation: Optimize route performance based on scheduled
versus actual times; average revenue per seat; and percentage of
late deliveries, buses, trains, or flights. Map customer transportation
needs to streamline routes and service depots.
Government: Make your agency transparent and accountable. Equip
fire, police, and emergency managers with better information and
preincident planning. Map location-based statistics about public-
sector projects to help determine fund allocations.
Health care: Quickly identify chronic illness and pandemic patterns.
Provide community access to human services and information about
service availability. Use maps to understand relationships between
providers, employers, and consumers.
6. Open to Everyone
Keep your data secure, but don’t tie it
down. Set it free. All your systems. All
your devices. One platform. Esri Location
Analytics lets you safely infuse mapping into
your enterprise with no disruption to your
business systems. Whether it’s Microsoft
Office®
, IBM Cognos®
, SAP®
, Salesforce.com,
or MicroStrategy®
, your location analytics
platform pillars them all.
Custom Solutions
Esri Location Analytics can
also be easily embedded into
enterprise systems using Esri
services and technology.
Business System Product
Business Intelligence Esri Maps for IBM Cognos
Esri Maps for MicroStrategy
Esri Maps for SAP BusinessObjects
Customer Relationship Management Esri Maps for Dynamics CRM
Esri Maps for Salesforce
Collaboration and Productivity Esri Maps for Office
Esri Maps for SharePoint
Focused Applications Esri Business Analysttm
Esri Community Analyst
7. Do You Know
Your Strategy?
Esri is the world leader in location.
Find out how organizations—and
people like you—can start improving
outcomes by putting where in their
enterprise. Whether you have an
extensive infrastructure or a point
solution, Esri has the expertise to help
you develop your location analytics
strategy. Let us show you how.
Get started at
esri.com/locationanalytics.