Charting libraries vs BI & Analytics Platforms

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Humans are visual learners—well, at least the majority of us are―65% according to the Social Science Research Center. With this in mind, it’s no surprise that data visualization is as hot as it is. Communicating data effectively continues to be one of the most important and difficult dimensions of BI & Analytics―leading to an explosion of Javascript charting libraries targeted at modern web developers. With so many options, it’s difficult to know where to begin.

Software

Charting Libraries vs
BI & Analytics Platforms

Agenda
© Copyright 2000-2017 TIBCO Software Inc.
• Definitions & Comparison
• Picking the right visualization
• Integrating visualizations into
applications
• BI & Analytics Platforms +
Charting Libraries?
• Key Takeaways / Q & A

4
What are we talking about?
© Copyright 2000-2017 TIBCO Software Inc.

5
Definitions, please…
© Copyright 2000-2017 TIBCO Software Inc.
JavaScript Charting Library BI & Analytics Platform
Stand-alone development tools for creating
charts and graphs for front-end applications
Integrated suite of products/services for
creating, securing, and delivering data to users

6
How do they match up?
© Copyright 2000-2017 TIBCO Software Inc.
Charting Library BI & Analytics Platform
Custom visualizations x
Minimal entry cost x
Out-of-the box visualizations x x
Less time coding x
Metadata layer & flexible data
connectivity options
x
Data security & authentication x
Multi-tenant support x
Self-service capabilities x
Easier export options x

8
Start with your audience
© Copyright 2000-2017 TIBCO Software Inc.
Who is it for?

9
Do you really need a custom
visualization?
© Copyright 2000-2017 TIBCO Software Inc.

10
Perception of Visual Cues
© Copyright 2000-2017 TIBCO Software Inc.
• This is sound advice but not a hard set rule
• Dot plots are not always the best and pie charts (yes) can
have their place
Position Length Angle Direction Area Volume Saturation Hue
More accurate Less accurate
Based on Visual cues ranked by Cleveland and McGill
Figure 1-1 Reference: Graphical Perception: (William S. Cleveland; Robert McGill)

11
Perception of Visual Cues with Patterns
© Copyright 2000-2017 TIBCO Software Inc.
Reference: Visual cues and patterns (1 of 2) (Nathan Yau - Data Points)
Patterns
Increase
Decrease
Combination
Outlier
Position Length Angle

13
Four Levels of BI & Analytics Integration
© Copyright 2000-2017 TIBCO Software Inc.
Not
Integrated
RESTful API
2
iFrame
Integration
3
Pure JavaScript
Integration
41
Separate portal for
reporting & analytics
Mass reporting &
administration
Integration as separate
app
Seamless, in-page
analytics
AnalyticsApplication

14
Embedded BI Innovation
© Copyright 2000-2017 TIBCO Software Inc.
Build better,
faster
• Invest significantly less
time coding than with
competing JavaScript
APIs
• Native, easy way to
connect to modern apps
• Get to market faster
Experience
immersive BI
HTML5 and web
responsive charts
• Deliver ultimate BI
experience
• Delight end users with
interactive
visualizations
• Glean insights
seamlessly from your
application
visualize.js
“Best JavaScript Technology”
-DeveloperWeek Awards 2015
Not all JavaScript APIs were created equal

16
Wait… BI & Analytics + Charting
Libraries?
© Copyright 2000-2017 TIBCO Software Inc.
+
+

17
Meet IDS
© Copyright 2000-2017 TIBCO Software Inc.

18
Meet IDS: Background
© Copyright 2000-2017 TIBCO Software Inc.

19
Meet IDS: Custom Visualizations using
INT Library
© Copyright 2000-2017 TIBCO Software Inc.

20
Meet IDS: Architecture
© Copyright 2000-2017 TIBCO Software Inc.
Frontend
Backend
“It’s the tip of the iceberg where the story is told”

22
Key Takeaways
© Copyright 2000-2017 TIBCO Software Inc.
Know your audience Be deliberate in picking
visualizations
Consider the importance
of time to market

23© Copyright 2000-2017 TIBCO Software Inc.
Q & A

24
What’s Next
© Copyright 2000-2017 TIBCO Software Inc.
Data Points: Visualization that Means Something
by Nathan Yau
Test drive Jaspersoft
https://www.jaspersoft.com/download
Creating Addictive Dashboards
Jaspersoft.com > On-demand webinars
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Charting libraries vs BI & Analytics Platforms

1. Charting Libraries vs BI & Analytics Platforms

2. 2 Humans are visual creatures © Copyright 2000-2017 TIBCO Software Inc. At least 65% of humans are visual learners source: Dr. Richard Felder, Hoechst Celanese Professor Emeritus of Chemical Engineering at North Carolina State University

3. Agenda © Copyright 2000-2017 TIBCO Software Inc. • Definitions & Comparison • Picking the right visualization • Integrating visualizations into applications • BI & Analytics Platforms + Charting Libraries? • Key Takeaways / Q & A

5. 5 Definitions, please… © Copyright 2000-2017 TIBCO Software Inc. JavaScript Charting Library BI & Analytics Platform Stand-alone development tools for creating charts and graphs for front-end applications Integrated suite of products/services for creating, securing, and delivering data to users

6. 6 How do they match up? © Copyright 2000-2017 TIBCO Software Inc. Charting Library BI & Analytics Platform Custom visualizations x Minimal entry cost x Out-of-the box visualizations x x Less time coding x Metadata layer & flexible data connectivity options x Data security & authentication x Multi-tenant support x Self-service capabilities x Easier export options x

7. Agenda © Copyright 2000-2017 TIBCO Software Inc. • Definitions & Comparison • Picking the right visualization • Integrating visualizations into applications • BI & Analytics Platforms + Charting Libraries? • Key Takeaways / Q & A

10. 10 Perception of Visual Cues © Copyright 2000-2017 TIBCO Software Inc. • This is sound advice but not a hard set rule • Dot plots are not always the best and pie charts (yes) can have their place Position Length Angle Direction Area Volume Saturation Hue More accurate Less accurate Based on Visual cues ranked by Cleveland and McGill Figure 1-1 Reference: Graphical Perception: (William S. Cleveland; Robert McGill)

11. 11 Perception of Visual Cues with Patterns © Copyright 2000-2017 TIBCO Software Inc. Reference: Visual cues and patterns (1 of 2) (Nathan Yau - Data Points) Patterns Increase Decrease Combination Outlier Position Length Angle

12. Agenda © Copyright 2000-2017 TIBCO Software Inc. • Definitions & Comparison • Picking the right visualization • Integrating visualizations into applications • BI & Analytics Platforms + Charting Libraries? • Key Takeaways / Q & A

13. 13 Four Levels of BI & Analytics Integration © Copyright 2000-2017 TIBCO Software Inc. Not Integrated RESTful API 2 iFrame Integration 3 Pure JavaScript Integration 41 Separate portal for reporting & analytics Mass reporting & administration Integration as separate app Seamless, in-page analytics AnalyticsApplication

14. 14 Embedded BI Innovation © Copyright 2000-2017 TIBCO Software Inc. Build better, faster • Invest significantly less time coding than with competing JavaScript APIs • Native, easy way to connect to modern apps • Get to market faster Experience immersive BI HTML5 and web responsive charts • Deliver ultimate BI experience • Delight end users with interactive visualizations • Glean insights seamlessly from your application visualize.js “Best JavaScript Technology” -DeveloperWeek Awards 2015 Not all JavaScript APIs were created equal

15. Agenda © Copyright 2000-2017 TIBCO Software Inc. • Definitions & Comparison • Picking the right visualization • Integrating visualizations into applications • BI & Analytics Platforms + Charting Libraries? • Key Takeaways / Q & A

21. Agenda © Copyright 2000-2017 TIBCO Software Inc. • Definitions & Comparison • Picking the right visualization • Integrating visualizations into applications • BI & Analytics Platforms + Charting Libraries? • Key Takeaways / Q & A

24. 24 What’s Next © Copyright 2000-2017 TIBCO Software Inc. Data Points: Visualization that Means Something by Nathan Yau Test drive Jaspersoft https://www.jaspersoft.com/download Creating Addictive Dashboards Jaspersoft.com > On-demand webinars Get your question(s) answered directly Register for Jaspersoft Office Hours

Editor's Notes

Shane to cover: Intro, Definitions & Comparison,
https://www.datapine.com/blog/how-to-choose-the-right-data-visualization-types/
Shane to cover: Intro, Definitions & Comparison,
Shane to cover: Intro, Definitions & Comparison,
Explain how application developers can get the best of both worlds by using a BI & Analytics platform that can extend visualization options to include those sourced from charting libraries? Time to market should be emphasized*
Time to market should be emphasized*
Example of an engineering diagram. This is a well bore diagram showing the final production hole. It shows the layers of rocks the well was drilled through How the casings were cemented, Where the plugs are set along the well bore Where the perforations are to allow the communication of condensate to flow into the production line
Emphasize the importance of embedding here Why IDS chose Jaspersoft? Quick Development Time Tools to explore data Embeddable Extensible Scalable
Time to market should be emphasized*
Shane to cover: Intro, Definitions & Comparison,
Key Takeaways. There is a laundry list of items we could have put here but We wanted to draw your attention to 3 things to think about when you leave today. The first is know your audience. Who are you developing this visualization for? Is it for a fellow data analyst or someone fluent with interpreting data? Is it a business executive? Is it an LOB worker that will be viewing this in an operational application? Start with the audience, understand their goals and what you want them to get out the visualization, and then work your way back to selecting the visualization. Takeaway #2. Be deliberate in picking visualizations. We just mentioned that one of the big factors influencing this is your audience. But there are also inherent psychological biases in how we perceive visual stimuli. Charting libraries are great because they give us the flexibility to create almost any visualization to capitalize on this. But just remember that you should have justification for selecting the visualization that you do. A visualization may look cool but if it’s not the most effective way of communicating that data, then use the better option. On the last slide, we’ll point you to an awesome book that can help you with this subject. The final takeaway is consider the importance of time to market. Using a charting library gives you ultimate development flexibility. For ad hoc projects or projects with smaller groups of users this is likely a great option. But if you are deploying this to a broad audience or if it’s being embedded into an application, make sure you think about requirements around security, how you’re going to deliver those visualizations securely down to the user level, whether or not you want to give users self-service capabilities. There tends to be a lot more than meets the eye when embarking on data visualization project. Properly scoping out the requirements at the beginning can save you from having to audible and make changes mid-way through.

Charting libraries vs BI & Analytics Platforms

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