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Module 3 - QuickSight Overview
1.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Cloud-native Business Intelligence
2.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Amazon QuickSight First BI service built for the cloud with pay-per-session pricing & ML insights for everyone Auto Scaling & Serverless Deploy globally to 100k’s of users without provisioning servers Built-in High Availability Deeply integrated with AWS services Secure, private access to AWS data Integrated S3 data lake permissions Developer Support Programmatically onboard users and manage content Easily embed in your apps Pay only for what you use $5/mo max for Readers Machine Learning Built-in Anomaly Detection and Forecasting Bring your own model from Amazon SageMaker Ask questions using natural language *NEW* Pay as you go
3.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark How QuickSight Works QuickSight allows you to connect to your data sources, and create dashboards that can be securely shared across your organization.
4.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark SPICE QuickSight is powered by SPICE, a super-fast calculation engine that delivers performance and scale, regardless of how many users are active. SPICE Your Data Source
5.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Create Beautiful, Interactive Dashboards • Add rich interactivity like filters, drill downs, zooming, and more • Blazing fast navigation • Accessible on any device • Data Refresh • Publish to everyone with a click
6.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Insights Delivered to Your Inbox Schedule report snapshots to be emailed to users • Schedule email reports on a daily, weekly, or monthly basis • Works with Row Level Security (RLS) so users only see their own data Create data-driven alerts to notify you when data changes • Create personal alerts based on what data is important to you
7.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark ML (Machine Learning) Insights Cutting edge ML tools that automatically discover powerful insights for your users. • Anomaly Detection • Forecasting • Bring your own model from Amazon SageMaker • Auto-generated natural language narratives *currently in preview
8.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Embedding Dashboards In Your Application QuickSight allows you to seamlessly integrate interactive dashboards and analytics into your own applications • Enhance your applications with rich analytics and dashboards • Easy maintenance, no servers to manage • Fast! No Custom development or domain expertise needed • Leverage new features as we add them
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© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Embedded dashboards
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© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
11.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Author embedding *New* Embed the full dashboard building experience within a portal or application. Provide authoring capabilities to power users, who might want to explore data, create specific views as dashboards and share their creations with users or groups within their namespace.
12.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark QuickSight Q NLP-powered self service analytics for anyone ML models interprets user question and intent, retrieves the data from source and generates a QuickSight visualization. Knowledge layer adds semantics and relationships for customers to the underlying physical data.
13.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Connect to your data, wherever it is QuickSight is natively integrated with AWS data sources, as well as on-premises and hosted databases and third party business applications On-premises Securely connect to on-premise databases and flat files like Excel and CSV In the cloud Connect to hosted database, big data formats, and secure VPCs Applications Connect directly to third party business applications • Salesforce • Square • Adobe Analytics • Jira • ServiceNow • Twitter • Github • Redshift • RDS • S3 • Athena • Aurora • Teradata • MySQL • Presto • Spark • SQL Server • PostgreSQL • MariaDB • Snowflake • Oracle* • Excel • CSV • Teradata • MySQL • SQL Server • PostgreSQL • Oracle* *In preview • IoT Analytics • Timestream • ElasticSearch*
14.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Securely connect to data in VPCs & on-premises On-premises data center Virtual private cloud AMAZON QUICKSIGHT VPC VPC AWS DIRECT CONNECT VPC VPC subnet Security Group AMAZON REDSHIFT VPC subnet Security Group ELASTIC NETWORK INTERFACE Customer Gateway Virtual Private Gateway
15.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark *session = 30 minutes from login Readers User pricing Capacity pricing From $250/mo. for 500 sessions/mo* Ideal for embedded applications, ISVs and OEMs Up to $5/reader/mo. $0.30/session* up to $5 Predictable BI spend for organizations New! Introducing Capacity Pricing Create and publish interactive dashboards $24/user/mo. paying month to month $18 w/annual commitment Authors /author/mo.
16.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Built Enterprise Ready Secure and compliant • End-to-end encryption • HIPAA • SOC2 • PCI • ISO 27001 • Fed Ramp Global availability Enable collaboration across global teams, with local SPICE storage for optimized access. • N. Virginia • Oregon • Ohio • Ireland • Canada Built-in redundancy Native high-availability (Multi-AZ) and fault tolerance with transparent data replication and backups • Japan • Singapore • Sydney • Seoul • Frankfurt • London • Mumbai • Gov Cloud West
17.
© 2020, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Customers
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© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark QuickSight customers
19.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Customers Customer name: Capital One Company description: Capital One is a leading information- based technology company that is on a mission to help its customers succeed by bringing ingenuity, simplicity, and humanity to banking. Data source: Redshift, RDS, Snowflake S3 Data Lake, Athena Size: 2K Authors, 20K+ Readers Previous Tools: Tableau, Qlik, Birst Use case: • Self service analytics on One Lake data lake • Embedded Analytics in dozens of internal and external facing applications • Examples include: Spend and risk analysis, market research, monitoring and governance, fraud and anomaly detection, operational reporting, performance analysis and forecasting Why QuickSight? • Heterogeneous data ecosystem support – data lake EDW, RDS, etc. • Secure embedding capabilities with SSO – we have thousands of internal and external facing application and at least 50% of them have BI component needs • Fully managed service = no downtime (no re-hydrations, no long software/capacity upgrade cycles, auto-scaling) • Pay for usage – cost effective charge back model • Built-in machine learning & anomaly detection
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© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark “ Customers Why QuickSight: “From the start, scalability was a core requirement for us. We chose QuickSight as it is scalable, enabling SI to extend to multiple syndicated partners without having to provision or manage additional infrastructure. Furthermore, QuickSight provides interactive dashboards that can be easily embedded into an application. Lastly, QuickSight’s rich APIs abstract away a lot of functionality that would otherwise need to be custom built.” Ajay Gavagal – Sr. Manager of Software Development Customer name: Comcast Company description: Largest telecommunications conglomerate in the US Data source: Athena / S3 Use case: Embedded + Anomaly Detection Previous tools: Tableau Auth: Custom SSO from their app Use Case: Syndication Insights (SI) enables Comcast’s syndicated partners to access the same level of rich data insights that Comcast uses for platform and operational improvements. The SI platform enables partners to gain deeper business insights, such as early detection into anomalies for users, while ensuring a seamless experience through embedded, interactive reports. ”
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© 2020, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark ” “ Customers Amazon QuickSight allows our analysts to create insightful dashboards quickly for our critical risk management programme. Enabling us to move from static spreadsheets to interactive data. However, rolling out these dashboards at scale to the field was going to be costly and complicated. We asked AWS for a better solution, and they listened. Readers in QuickSight, with usage-based pricing, will help us scale the dashboards to more end-users across the world and only pay for what we use” Anthony Deakin, Chief Advisor - Critical Risk Management Customer name: Rio Tinto Company description: Global top 3 mining co. Data source: RDS MySQL/SPICE Use case: 300+ users, expected 5000+ Previous tools: Spreadsheets and email reports Auth: Password-based, Cognito SSO integration in progress Use case: • Equip 1000s of mine worker and supervisors with interactive dashboards that provide safety audit information and allow them to make safe workplace decisions. • Equip corporate analysts and managers with powerful self-service analytics capability on governed datasets.
22.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark “ Customers "Amazon QuickSight will allow us to quickly build fast, interactive dashboards that will seamlessly integrate with our Next Gen Stats applications. With the Amazon QuickSight Readers and pay-per-session pricing, we are able to extend these secure, customized and easy to use dashboards for each Club without having to provision servers or manage infrastructure – all while only paying for actual usage. We love the direction, and look forward to expanding use of Amazon QuickSight.” Matt Swensson VP Emerging Products, NFL Customer name: The National Football League Company description: Sports Media and Entertainment Data source: Aurora Use case: 500 users (NFL teams, broadcasters, internal research team) Previous tools: Custom-built web application Auth: SAML-based SSO Use case: • Deliver insights generated via their AWS-powered ‘Next Gen Stats’ platform to broadcasters, NFL clubs, and internal research teams to come up with compelling in-game and post-game stories and analytics ”
23.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark “ Customers Why QuickSight: “We see a need to support learners, teachers, and leaders in education by helping to change their relationship with data and information—to reduce the distance between information and experience, between ‘informed’ and ‘acting.’ A large part of this strategy involves embedding information directly where our users are collaborating, teaching, and learning—providing tools and insights that aid in assessment, draw attention to opportunities learners may be missing, and help strategic and academic leadership identify patterns and opportunities for intervention. We’re particularly interested in making the experience of being informed much more intuitive—favoring insight-informed workflows and/or embedded prose over traditional visualizations that require interpretation. By removing the step of interpretation, embedded visualizations make insights more useful and actionable. With QuickSight, we were able to deliver on our promise of embedding visualizations quickly, supporting the rapid iteration that we require, at the large scale needed to support our global user community.” Rachel Scherer – Sr. Director of Data & Analytics Customer name: Blackboard Company description: Leading Education technology company. Over half of all US colleges and K-12 districts use their products. Data source: RDS, AWS Data Lake (Lake Formation/Athena/Glue/S3) Use case: Embedded + ML Insights Previous tools: Custom developed reports Auth: Custom within their app Use Case: Embed dashboards with natural language narratives into their end-user products. ”
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© 2020, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark “ Customers “As we accelerate our AWS adoption journey, timely visibility to cost and usage information has become critical to cost awareness among our development teams. Amazon QuickSight's native integration with Athena makes it the ideal serverless analytics solution. With QuickSight readers, we can easily extend access to interactive dashboards across our teams and only pay for what we use. QuickSight dashboards allow us to easily provide a customized, interactive view for each team, and let team leads glance at trends and KPIs, quickly filter data or drill down to the details. The move from static email reports and ad-hoc analysis to always-available data in QuickSight has been great!” Anders Rahm-Nilzon, Cloud Manager Customer name: Volvo Group Connected Solutions Company description: Automotive Manufacturer Data source: S3/Athena Size: In deployment Previous tools: Spreadsheets for ad-hoc investigations, Auth: SAML-based SSO Use case: • Correlate data generated from IoT sensor software in their trucks with AWS Cost and Usage data (i.e. development team makes a change in IoT software to collect a new metric and see how much it affects their AWS usage). ”
25.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark “ Customers Why QuickSight: "With QuickSight we are not constrained by pre-built BI reports, and can easily customize and track the right operational metrics such as product utilization, market penetration and available inventory to gain a holistic view of our business. These inputs help us to understand current performance and future opportunity so that we can provide greater partnership to our Clients, while delivering on our brand promise of creating healthier employee populations. During the late-winter/early Spring of 2020, we embedded QuickSight dashboards into our Client platforms as a key deliverable of our Safe at Work/COVID SaaS product. It allowed our teams to seamlessly communicate with our clients – all viewing the same information, simultaneously. QuickSight’s embedding capabilities, along with its secure platform, intuitive design and flexibility allowed us to service all stakeholders – both internally and externally. This greater flexibility and customization allowed us to fit the client’s needs, seamlessly.” David Buza – Chief Technology Officer Customer name: EHE Health Company description: 106-year old Preventive Health and Primary Care Center of Excellence Provider System Data source: S3, RDS MySQL Use case: Internal & Embedded Previous tools: Tableau Auth: SAML-based SSO Use Case: EHE Health uses QuickSight for all enterprise wide analytics, replacing Tableau Amazon QuickSight is embedded in their Safe at Work/COVID SaaS Product to provide external facing analytics for their clients ”
26.
© 2020, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Customers The QuickSight Reader role is perfect for operational dashboards, as it allows secure, fast and cost-effective access to interactive data. As a cloud-based solution, QuickSight automatically scales to our needs. The combination of being able to connect to data from a private VPC, authenticate users via SAML, easily author dashboards with drill downs and rich visuals, and allow read-only access to a large audience - without any infrastructure management, and with usage-based pricing - makes it the obvious choice. We look forward to enabling more customers on our platform. Massimiliano Ponticelli, Product Manager. Customer name: Siemens PLM Software Company description: Industrial Software Data source: RDS/SPICE Size: Customer dependent Previous tools: Customer dependent (Tableau for previous on-premises soln.) Auth: SAML SSO from Cognito Use case: • Provide dashboards on operational metrics in Siemens Manufacturing Intelligence Cloud-Native solution • Allow analysts at customer sites to develop own dashboards and reports with self-service functionality “ ”
27.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark “ Customers Why QuickSight: “We started using Amazon QuickSight to report on in-flight Wi-Fi performance, and with its rich APIs, pay-per-session pricing, and ability to scale, we quickly rolled out QuickSight dashboards to hundreds of users. The constant evolution of the platform has been impressive: ML-powered anomaly detection, Amazon SageMaker integration, embedding, theming, and cross-visual filtering. Our users consume insights via natural language narratives, which allows them to read all their information right off the dashboard with no complex interpretation needed.” Anand Desikan – Director of Cloud Operations Customer name: Panasonic Avionics Corporation Company description: Provide in- flight entertainment and comms systems to more than 300 airlines worldwide Data source: RDS, AWS Data Lake (Lake Formation/Athena/Glue/S3) Use case: Embedded + ML integration with SageMaker Previous tools: None Auth: Custom within their app Use Case: Our cloud-based solutions collect large amounts of anonymized data that help us optimize the experience for both our airline partners and their passengers. Use QuickSight to report on in-flight Wi-Fi performance. Integrate QuickSight with SageMaker and deliver insights to end users via natural language narratives ”
28.
© 2021, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Customer name: Best Western Hotels & Resorts Company description: Global Hospitality Data source: Redshift Size: 24k Readers Previous tools: IBM Cognos, Tableau Auth: SAML SSO from ADFS Solution: • Migrate underlying Oracle DB to Redshift and IBM Cognos to QuickSight • Rolled out operational dashboards and reporting across corporate users and all hotel managers Challenge: • Old, dated-looking software, reports, dashboards • 7,312 work hours (18 months) spent upgrading the IBM Cognos environment from 10 to 11 (not adding value to the business) Benefit: • 0 work hours spent maintaining or upgrading QuickSight • 52 features across 16 releases automatically rolled out in 2019 Customers
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© 2021, Amazon
Web Services, Inc. or its Affiliates. QuickSight visuals
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© 2021, Amazon
Web Services, Inc. or its Affiliates. AutoGraph • AutoGraph isn't a visual type itself => Amazon QuickSight chooses your visual • Amazon QuickSight uses the most appropriate visual type for the number and data types of the fields you select.
31.
© 2021, Amazon
Web Services, Inc. or its Affiliates. Bar charts
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Bar charts • Single-measure: shows values for a single measure for a dimension • 1 axis + 1 value • Multi-measure: shows values for multiple measure for a dimension • 1 axis + ≥2 values • Clustered: shows values for a single measure for a dimension, grouped by another dimension • 1 axis + 1 value + 1 Group
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Bar charts Single measure: Multi measure: Clustered
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Stacked bar • Stacked bar is similar to a clustered bar chart in that it displays a measure for two dimensions, but displays one bar parent dimensiom with color- block of children dimension. • 1 axis + 1 value + 1 Group • Stacked 100 percent is similar to a stacked bar chart but the color blocks reflect the percentage of each item in the child dimension, out of 100 percent. • 1 axis + 1 value + 1 Group
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Stacked bar Stacked: Stacked 100 percent:
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Waterfall charts
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Waterfall Charts • Waterfall charts visualize a sequential summation as values are added or subtracted • 1 category and/or 1 value
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Waterfall Charts • Waterfall charts are most commonly used to present financial data, because you can show change within one time period or from one time period to another. This way, you can visualize the different factors that have an impact your project cost. • 1 category and/or 1 value + 1 breakdown
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Line charts
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Line Charts • Line charts compare changes in measure values over period of time Single measure: • 1 X axis + 1 value Multi measure: • 1 X axis + ≥2 value Multi dimension • 1 X axis + 1 value + 1 color
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© 2021, Amazon
Web Services, Inc. or its Affiliates.
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Line Charts • A dual-axis chart is a chart with two Y-axes (one axis at the left of the chart, and one axis at the right of the chart). Before After
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Combo charts
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Combo charts • Combo charts are created one visualization that shows two different types of data. Single measure: • 1 X axis + 1 measure in Bars + 1 measure in Lines (+ 1 Group/Color for bars) Multiple measure: • 1 X axis + 1 measure in Bars + ≥2 measure in Lines (+ 1 Group/Color for bars)
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Box Plots
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Box Plots • Box Plots visualize how data is distributed across an axis or over time. • Typically, a box plot details information in quarters: the minimum value, lower quartile, median, upper quartile, and the maximum value. • 1 value (+1 group) Max Min Lower quartile Median Upper quartile
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Scatter Plots
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Scatter Plots • Scatter plots visualize two or three measures for a dimension. • 1 X axis + 1 Y axis + 1 Group/Color + 1 Size
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Donut/Pie charts
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Donut/Pie charts • Donut/Pie charts compare values for items in a dimension • The best use for this type of chart is to show a percentage of a total amount. • 1 value + 1 group Donut chart: Pie chart:
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Maps
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Maps • Maps are used to visualize data over a geographical area Filled map: regions are represented in varying shades, colors, or patterns in relation to a data variable. • 1 Location + 1 Color Geospatial Charts: The size of the circles represents the magnitude of the field • 1 Geospatial + 1 Size + 1 Color
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Funnel charts
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Funnel charts • Funnel chart: visualize data that moves across multiple stages in a linear process. • In a funnel chart, each stage of a process is represented in blocks of different shapes and colors. • 1 Group by + 1 Value
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Gauge charts
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Gauge charts • Gauge charts: compare values for items in a measure. • You can compare them to another measure or to a custom amount. • 1 Value + 1 Target Value
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Heat maps
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Heat Maps • Heat maps show a measure for the intersection of two dimensions, with color-coding to easily differentiate where values fall in the range. • 1 Rows and/or 1 Columns + 1 Value
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Tree maps
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Tree Maps • Tree maps visualize one or two measures for a dimension • 1 Group by + 1 Size + 1 Color
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Word Clouds
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Word Clouds • Word Clouds display how often a word is used in relation to other words in a dataset • 1 Group by + 1 Size
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Key performance indicator
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© 2021, Amazon
Web Services, Inc. or its Affiliates. KPIs • Key performance indicator (KPI) visualizes a comparison between a key value and its target value. • 1 Value + 1 Target Value
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Sankey Diagrams
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Sankey Diagrams • Sankey diagrams show flows from one category to another, or paths from one stage to the next. • 1 Source + 1 Destination + 1 Weight
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Histograms
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Histograms • Histograms display the distribution of continuous numerical values in your data • 1 Value
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Other visuals • Table • Pivot Table • Insights • URL
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© 2021, Amazon
Web Services, Inc. or its Affiliates. Thank you!
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