Insights for ArcGIS: An Introduction · Insights for ArcGIS: An Introduction Insights for ArcGIS is...

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Insights for ArcGIS: An Introduction

Insights for ArcGIS is available as part of ArcGIS Enterprise and Online and provides a new user experience

for analysis that focuses on simpler ways to work with your data and share results. This includes

visualization, drag and drop analytics, and on-the-fly filtering and aggregations making interactive and

exploratory analysis fast and intuitive.

You will learn how to get started with Insights for ArcGIS, including adding data from numerous sources,

exploring some of the available analyses, and seeing how to share results and models, as we work through

some analysis examples.

Scott Sandusky Dara Burlo

Today’s Agenda

• What is Insights?

1. Data preparation

2. Mapping & charting

3. Analysis

4. Sharing presentations & models

• Roadmap & Resources

What is Insights?

Self-service location analytics

Link (aka Graph)

SpatialStatistical

Python & R

Exploratory

Predictive

Data files

Enterprise GIS

Enterprisebusiness data

Available as a SaaS, within your Enterprise, and locally on Windows or Mac

Powerful Analysis Made SimpleUsable Across Roles, Titles, and Skill Levels

Industry Expert

Data Analyst

GIS Analyst

Business Analyst

Data Scientist

Decision Maker

Interactive

Pages & Reports

Analytical Models

& Methodology

Perform Analysis – Basic to Advanced

Viewers

Analysts

Data &

Analysis Results

Data Stores

& Applications

Business Data and Spatial Data Together in One Place

Business Data Spatial Data

Exploratory Analysis

• Charts, tables, and maps

• Interactivity between visualizations

• Context of the largest digital atlas in world

Data Preparation

• Format fields

• Calculate new fields

• Filter data

• Hide fields

• Rename fields and datasets

• Join datasets

GeoEnablement

• Geocode address

• Convert X,Y

• Join to boundaries

• Enrich proportionally with

demographic variables

• Descriptive stats

• Regression

• Link analysis

Statistical AnalysisSpatial Analysis

• How is it distributed?

• How is it related?

• What’s nearby?

• How has it changed?

Record & Repeat Analysis

• Share model to analysts

• Document best practices

• Re-run with new data

Share Results

• Share with executives

• Tell your story

• Share with public

Analysis creates new data and information, and finds answers..

Dashboards present the answers to others.

Insights is analysis first, reporting second

• Dashboards present answers

• A visualization or interaction that

communicates information

• Data remains within the visualization

• Analysis finds answers

• A process or procedure that

creates new information

• Derivative data available for re-use

in other systems

Workbook

Data Pane

Page 1 Page 2 Page 3

Page View

Analysis View

Card 1 Card 2 Card 3

Widget 1 Widget 2 Widget 3

Data Preparation

Use Data Where It Lives

Data Files Enterprise GIS Relational Databases Python or R

Working with your data

Categorical

Numeric

Shape

Date / time

Date components

Ratio

Data pane

Multiple spatial fields

Shape fields

Enable Location

Latitude, Longitude Coordinates• Custom spatial references supported

Address geocoding• Granularity down to point accuracy• Points of interest• Global• One or multiple source address fields

Geography• Conflate spatial fields onto your data

• point, line, or boundary• Use boundaries that come with Insights• Use your own custom boundaries

Enrichment – thousands of data attributes for over 130 countries

Your Data

with Variables

+ =

Enrich VariablesYour Data

Create Relationships

Data Preparation

Demo

Mapping & Charting

Charts

Combo chartBar & column chart

Stacked bar & column chartTreemap

Bubble chart

Heat chart

Key performance indicator

Chord diagram

Scatterplot

Scatterplot matrix

Link chart

Data clock

Line graph Time series graph

Histogram

Box plot

Donut chart

Maps

Location

Aggregation

Binned

Unique value

Flow Choropleth

Heat

Proportional symbol Spider lines

Density

Visualization Options

https://www.esri.com/content/dam/esrisites/en-us/media/pdf/data-visualization-options-in-insights-english-3.0.pdf

Cross filters

Tables (there are 2 types)

Data Table Summary Table

• The entire dataset

• Calc new fields

• Not part of a shared page

• Extracts significance from detailed dataset

• Pivot, and show descriptive statistics

• Interactive with chart and map cards

• Included with a shared page

Mapping & Charting

Demo

Analysis

StatisticalSpatialExploratory

Powerful analysis made simple

• Find the right questions to ask • Relate and overlay datasets • Quantify and describe

The Action Button

Spatial Analysis Techniques

Statistical Analysis Techniques

Link maps (aka graph analysis)

• Spider lines/Desire lines

- A desire line map shows straight lines connecting

the origins and the destinations

- Shows the shortest line between origin and

destination

• Flow maps

- Shows movement of people, goods, transport etc.

- Displays direction of movement and can also show

volume

Python & R Integration

• Connect to data

• Perform analysis with open data science tools

• Embed scripts into an Insights model

Analysis

Demo

Sharing Presentations & Models

Maximizing Your Work With Others

• Share results

- Interactive cards

- Tell your story

- Internal stakeholders or public

• Repeat and understand analysis

- Share models to analysts

- Document your methodology

- Rerun with new data

• Export resulting datasets

- Use in different systems

Model

Data

Page

Systems

Analysts

Viewers

Methodology – Documented and Repeatable

Refined and finished information products

• Organization branding, theme, and logo

• References and site resources

• Context, story, and narrative

ABC Tool

Company, Inc.

Authors: L. Bird & M. Johnson

Data source: World Wide Sports

• Title

• Hyperlinks, videos, images

• Textual descriptions

Sharing Presentations & Models

Demo

Roadmap & Resources

Your Infrastructure(Physical, Virtual, or Cloud)

ArcGIS Enterprise

SaaS

ArcGIS Online

OR

• Oracle

• SQL Server

• SAP HANA

• PostgreSQL / PostGIS

• .xlsx & .csv

• shapefile

• file geodatabase

• json & geojson

Org 1 Data Org 2 Data

Insights Localon Windows and Mac

• CPU processing Power

• Licensing

• Data Store

• Basemap & Boundary Data

Local Features:

ArcGIS Online or

Enterprise

Basemaps

Geocoding

Sharing

Living AtlasDrive Times

GP Services

Enrichment

Python

and R

Insights Local – on Windows and Mac (beta)

• Work offline

• Performance

• Ease of deployment

• Connect to databases

• No size limits (add and export)

• Leverage Python & R

• Do more when connected

• Connect to multiple orgs

Continuous Development

Python & R Integration

Jupyter Notebook

Insights

Desktop

Mac and Windows PC

More spatial, analysis &

visualization methodsScheduled refresh of analysis

Resources & Next Steps

Training

- Getting Started - http://esriurl.com/GetStartedInsights

- Analyze county development permits - http://esriurl.com/CountyPermits

- Investigate prescribed drugs - http://esriurl.com/PerscriptionDrugs

- Find a new home with Zillow data - http://esriurl.com/ZillowData

Success Stories

- Bavarian State Building Administration - http://esriurl.com/BSBA

- Opelika Water Utilities - http://esriurl.com/Opelika

- National Geospatial-Intelligence Agency - http://esriurl.com/NGA

- East Valley Water District - http://esriurl.com/EVWD

Free Trial - esri.com/insights

Other Sessions This Week

• Insights for ArcGIS SIG (Special Interest Group)

- Tuesday 11:30 – 12:30, Room 10

• Insights for ArcGIS: Best Practices

- Wed 8:30 – 9:30, Room 10

- Wed 4-5, Room 04

• Insights for ArcGIS: Data Visualization, Analysis, and Science

- Wed 1-2, Room 01A/B

- Fri 9-10, Room 03

Experience This Week

• Hands-on learning lab: Discover Patterns Using Insights for ArcGIS

- Tues & Wed 9-6, Ground Level Exhibit Hall A

- Thurs 9-4, Ground Level Exhibit Hall A

• Expo – Location Analytics Area: meet with the dev team

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Q & A