TIBCO Analytics Meetup
TIBCO Analytics Meetups (TAM) are virtual usergroup meetings hosted by TIBCO CAO Michael O'Connell. Analytics and Data Science experts share their TIBCO Spotfire® and other TIBCO Analytics product and use-case knowledge and Tips&Tricks with you. If you register for the TIBCO Analytics Meetup group you will receive an email update when the next TAM is scheduled and open for registration! Or sign up here to receive our next quarterly newsletter which will include the registration details for the upcoming TIBCO Analytics Meetup
Videos of the Meetup are posted in the TIBCO Data Science Youtube Channel - check it out and subscribe!
Click here if you were looking for a list of physical Spotfire Meetups or User Groups
Next Event: 12 May 2021
Sign up here to register for the event
Past Event: 10 February 2021
- pdf version of slides
- Full Meetup recording including demo below and TIBCO Data Science and TIBCO Community udpates by Michael O'Connell and Heleen Snelting is posted on the TIBCO Data Science Youtube Channel and can also be accessed on-demand here
Machine Learning for Pattern Recognition, an example of classifying semiconductor wafers
By Nico Rode and Adam Faskowitz
Images of defects and failure patterns can contain important clues as to the source of potential problems in a manufacturing process. It can be said for many verticals, that if patterns are understood, they can be predicted, monitored, and acted upon. The challenge, however, is how to sift through terabytes of sensor and image data to label or identify these patterns of interest. We have developed a novel approach to pattern recognition as applied to semiconductor wafer maps. It is using a combination of machine learning techniques to identify patterns quickly and accurately from a large amount of data and we will show you how to use these patterns to train and deploy a model to classify new wafers in real-time.
Past Event: 2 April 2020
- pdf version of slides and recording for the full Meetup including welcome by Michael O'Connell and TIBCO Community update by Heleen Snelting
Life expectancy data analysis to understand longevity
By Steven Hillion
Gartner issued a challenge to the leaders in its Data Science and Machine Learning ‘magic quadrant’. They gave us data on life expectancy and asked us “What can governments and business do to improve population health as defined by low mortality rates?” This demo shows the breadth of TIBCO’s data science platform. Our team of specialists produced a powerful dashboard, backed by a collection of predictive models, built on multiple datasets that required quite a bit of wrangling and preparation. We'll review each of these work streams and explain how we produced this end-to-end analytics pipeline in just a few days.
Formula 1 simulator predictions for lap time and crashes
By Colin Gray
Data Science is having an increasing impact in sports. TIBCO actively supports teams such as Mercedes-AMG Petronas Formula One, TIBCO-Silicon Valley Women’s cycling and the NFL. In this talk we will demonstrate with our own Formula One simulator and digital twins how TIBCO technologies are used to analyse lap performance, predict lap times and the likelihood of a crash occurrence.
Past Event: 20 Nov 2019
All About Analytics, from Data Management to Data Viz
By Ian Pestell and Michael O'Connell
A presentation and demo on how the TIBCO analytics suite can be used to analyze in real-time the liquidity risk exposure of investment bank trading positions. The demonstration shows how a predictive model can be created and productionized to identify high risk trades as they happen.
Past Event: 31 July 2019
AutoML for TIBCO Data Science Team Studio and TIBCO Spotfire Big Data function
By Dan Rope
New TIBCO Community Exchange TIBCO Data Science Team Studio: AutoML for TIBCO Data Science Team Studio, and the new TIBCO Spotfire big data function showcasing how automated machine learning can be performed in Team Studio to accelerate and enhance the model building process, with its automated but configurable and transparent modelling process. Complemented by TIBCO Spotfire big data function which can be used to call Team Studio from Spotfire.
Image Recognition in Spotifre using Python and AWS
By Colin Gray
Showcasing how machine learning methods such as image recognition can be performed in TIBCO Spotfire utilising Python and AWS services such as S3 and Rekognize. This provides an interactive and visual way to assess, and run image recognition utilizing powerful machine learning models.
Past Event: 25 April 2019
Voronoi Polygons Spotfire Data Function
By Peter Shaw
New TIBCO Community Exchange TIBCO SpotfireⓇ data function: Voronoi Polygons for TIBCO Spotfire®, showcasing advanced geo-analytics and data science capabilities. The data function generates Voronoi polygons that tile a study region. Polygons can be used as a feature layer on a SpotfireⓇ map chart. Relevant Link to TIBCO Community for this demo Voronoi Polygons for TIBCO Spotfire available on TIBCO Community Exchange
Digital Twin for Improving Yield in Manufacturing
By Steven Hillion
Digital Twin for Yield Manufacturing Demo showing real-time, continuous analysis of manufacturing equipment sensor and process data at very large scales (up to millions of predictor columns) for understanding the causes of semiconductor product yield loss. Relevant Link to TIBCO Community for this demo AI on Demand: Data Science in Operations page
If you liked the Digital Twin for Yield Manufacturing Demo: click here more detailed on-demand Webinar by Steven Hillion and Nico Rode - via Data Science Central - broadcasted live April 30, 2019
Past Event: 22 Jan 2019
Run TIBCO Data Science Pipelines from Spotfire
By Tomáš Jurczyk
Demonstration of integration between TIBCO Spotfire and TIBCO Data Science (Statistica). The Spotfire-Statistica Data Function allows you to call Statistica workflows from Spotfire. This is a how-to demo to learn how to empower citizen data scientists by incorporating predictive analytics, along with sophisticated data preparation and cleaning from your Spotfire dashboard. The video is a build from scratch example for clustering and anomaly detection.
Learn more: Spotfire Data Function to call TIBCO Data Science - Statistica
Anomaly Detection with Deep Learning Autoencoder
By David Katz
How to set-up and use the new Spotfire template (dxp) for Anomaly Detection using Deep Learning - available from the TIBCO Community Exchange. This is suitable for any unsupervised learning problem, and also as a preliminary to supervised learning. The demo uses a deep learning autoencoder for anomaly detection on time series data, and is particularly useful for high tech manufacturing.
Past Event: 30 October 2018
Python Data Function in Spotfire
By Vinoth Manamala
A ‘how to’ demo of the new Python Data function available from the TIBCO Community Exchange for Spotfire version 7.13 and beyond. Users can now use Python language in the creation and execution of data functions in Spotfire Data Analyst. Download Custom Data function directly from TIBCO Community Exchange
Python Data Function in Spotfire used with TensorFlow
By Vinoth Manamala
A ‘how to’ demo of the new Python Data function available from the TIBCO Community Exchange for Spotfire version 7.13 and beyond. Specifically showing how you can build analyses using Spotfire and Tensorflow using the Python Data Function. Download Custom Data function directly from TIBCO Community Exchange
Data Science Survival Skills
By DivyaJyoti Rajdev
Explore best practice and tips & tricks in this session to tackle tricky but common Data Science challenges. Learn TIBCO’s Data Science expert input on addressing topics such as how to figure out what to analyse in your data and how to build trustworthy algorithms. Further useful info can be found here in the data-literacy section of of the TIBCO Community.
Past Event: 19 July 2018
Geoanalytics in the cloud
By Arnaud Varin and Peter Shaw
Geoanalytics in the cloud: Summary of Spotfire Geoanalytics Capabilities and 3 demos explaining the ‘how to’ steps for an analytics app developer using TIBCO Cloud. Including how to use the Contour Template on the TIBCO Community - directly available from the TIBCO Cloud.
Past Event: 22 March 2018
Predicting Flight Delays
By Chia-Yui Lee
This example is for airlines and airports that want to improve operations and traveler experience. A data scientist analyzes historical flight delays and builds models to predict potential flight delays in future so that an airline or airport may take pre-emptive actions. It features TIBCO Statistica, a workbench for data scientists, where they can perform operations on historical data and use a comprehensive set of statistics, analytics and machine learning algorithms to build models. Interactive visual analytics in TIBCO Spotfire helps the data scientist understand the data and the models in the modeling process.
Big Data Parking Citations Analysis
By DivyaJyoti Rajdev
This project is a collaboration between Tipping Point, the San Francisco Office of Financial Justice and TIBCO. It aimed to discover insights on the impact of parking citations on low income drivers in San Francisco. The team discovered that older cars, which are assumed to be driven by lower-income drivers, are associated with citations of higher amounts. As a result of the findings, the team made recommendations to the Office of Financial Justice for policy review.
Due to the volume of data analyzed, the initial analysis was performed on a Big Data platform. Business analysts, data engineers and data scientists collaborated and shared findings in TIBCO Spotfire Data Science, a collaborative data science platform for data preparation and analytics at scale. Data supporting the findings was then summarized and presented in an interactive TIBCO Spotfire dashboard to a business audience.
Past Event: 28 September 2017
Hurricane Path Analysis
By DivyaJyoti Rajdev
For first time see the 5 hurricanes (Harvey, Irma, Jose, Katia, Maria) evolving at same time on a map - the trajectories differ in future uncertainty, as they move across the Atlantic and make landfall. This demo shows flexibility to allow user their mode of expression (Spotfire visual vs. R Graphics, see tutorial. You also will see how to scrape data from the web, parse the web response, download unzip and extract the relevant files and flatten 300+ files of ~50Kb each unzipped into single table that can be plotted directly on a map!
Note: script/Spotfire file will be made available soon
Hurricane Harvey Analysis
By Troy Ruths (with contributions from Lucas Wood and Dunia Giniebra)
Hurricane Harvey devasted homes, livelihoods, and the very fabric of our community in Houston. This analysis examines the relationship between floodplains and the communities that reside in them. We used same techniques for interference in wells to generate a percentage of that neighborhood that was likely to flood. We paired that data to the number of 311 calls that were placed after the hurricane. Did the calls come from well-known areas with high flood potential?
Troy Ruths' Hurricane Harvey analysis can be accessed via Webplayer if you click on the image on this page (scroll down to 2nd image) or via exchange.ai
Precipitation Analysis
By Peter Shaw
As Harvey parked over the southeast Texas coast, we can see the individual arms of the hurricane expressed as precipitation bands. Comparison of the visualization showing accumulation, versus time slices shows the convergence of events that caused Houston to receive so much rainfall. Demo off some unique capabilities; Live filtering is very powerful, can see data in a way that would be very difficult to see otherwise. You also learn how to leverage TERR to gather data and provide to Spotfire together with a custom shapefile grid.
Spotfire file precipatation analysis by Peter Shaw for download (click on link)
Past Event: 27 June 2017
XG Boost Demo
By Venkata Jagannath
An XGBoost (Extreme Gradient Boosting) is an ensemble model that aggregates several trees to provide a more generalizable Machine Learning model. This presentation covers XGBoost, the business problems it can solve and a demo using the Spotfire XGBoost template which is now available for you on the TIBCO Community Exchange.
Beautiful Dashboards
By Chia-Yui Lee and Minerva Dutta
Do you know that you can configure the look and feel of your Spotfire dashboards using Visual Themes? This presentation will show you how to build beautiful dashboards
Link to pdf version of slides used for the entire TIBCO Analytics Meetup June 27, 2017 - including TIBCO Statistica Acquisition and TIBCO Community update
Link to recording of complete TIBCO Analytics Meetup June 27th, 2017
Past Event: 25 April 2017
Anomaly Detection - Autoencoders in Spotfire
By David Katz
A presentation and demo of a template which is now available for you on the TIBCO Community Exchange. Anomaly detection is a way of detecting abnormal behavior. This template uses an autoencoder machine learning model to specify expected behavior and then monitors new data to match and highlight unexpected behavior
Anomaly Detection Demo by David Katz - April 2017
Geo-Analytics Demo and Community content
By Peter Shaw
Peter Shaw will show some interactive examples that demonstrate filled color contour layers in Spotfire map visualizations. One shows the spatial density of points, another shows interpolated values. He will introduce some great new content available on the TIBCO Community specific to geo-analytics.
Geo-Analytics Demo and Community Content by Peter Shaw - April 2017
Link to pdf version of slides used for the entire TIBCO Analytics Meetup April 25, 2017 - including Introduction to AI and Machine learning and TIBCO Community update
Link to recording of complete TIBCO Analytics Meetup April 25, 2017
Past Event: 28 February 2017
Spotfire Data Wrangling and TERR aggregation
by Michael O'Connell and Peter Shaw
Michael will provide the context of in-line data wrangling capabilities development in Spotfire and then Peter will demo TERR Aggregation - a new capability released with Spotfire version 7.7. You will see a use-case example of Net Present Value analysis.
Link to video on Data Wrangling by Michael O'Connell and TERR aggregation demo by Peter Shaw
Spotfire and Natural Language Generation
by Andrew Berridge
Andrew will demo of the Integration between TIBCO Spotfire and Automated Insights's Natural Language Generation Software Wordsmith. The basics of Natural Language Generation and some examples of the integration will be covered.
Link to recording of complete TIBCO Analytics Meetup February 28, 2017 - inluding TIBCO Community update on Spotfire APIs
Past Event: 1 December 2016
Machine learning put into practice with Spotfire
by Ana Costa e Silva
You will be guided through the tasks of adhoc data discovery, supervised model creation, unsupervised model creation, and model deployment in batch or in real-time. We will be using a TIBCO Spotfire Template which is freely available for download on the TIBCO Community Exchange. We will demo the use-case "fighting fraud and financial crime", but the template can be adapted to several others, such as customer relations and remote equipment monitoring.
API Overview, Alert Monitoring in Spotfire Automation Services
by Andrew Berridge
We will show you how to configure conditional alerts in TIBCO Spotfire and how to alert your end users when data changes or when there is an exception. Send highly relevant, personalised alert messages so your users can act on their data right now! We will also share a brief update on developing extensions for use in Spotfire.
Link to video recording of the full TIBCO Analytics Meetup of Dec 1st - including welcome by Michael O'Connell and Community Update by Heleen Snelting
Past Event: 6 October 2016
Spotfire to Streambase Barebones: Insight to Action in minutes
by Vishakha Mujoo
A demo that will show you how to build a simple configuration that creates a model in Spotfire based on historic data and then deploys this model to Streambase for scoring against real time data points.
Merging geospatial location data with polygons: leveraging shapefiles in your analysis
by Peter Shaw
Geographic information is often available both as locations of specific points as well as geographic regions defined by shapefile polygons. Matching each point to its enclosing polygon allows these data sources to be merged, allowing further analysis and increasing overall value.
Our TIBCO Community Component Exchange includes a number of freely-downloadable tools for geospatial analysis; one of these lets you rapidly match point locations to their enclosing shapefile polygons from Spotfire.
We will demonstrate how to download and use this component from the TIBCO Community and show it in action.
Past Event: 12 April 2016
Deriving Value from Big Data
by Ana Costa e Silva
Use Spotfire and TIBCO® Enterprise Runtime for R to maximize your big data investment. Learn strategies for adapting to your data structure and size. Focus on your business instead of the nuts and bolts.
Tips & Tricks for Geospatial Analytics
by Ian Cook
User-friendly, map-based data visualizations paired with statistical techniques and geoanalytics web services have delivered a breakthrough in logistical planning for manufacturers, distributors, and retailers. Learn how to build maps and apps.
From Data to Beautiful Dashboards
by Eszter Tabacs
Best practices for creating customized, beautiful, and effective dashboards.
Sales Forecasting and What-If Analysis
by Difei Luo and Ujval Kamath
Demo of sales forecasting based on time-series modeling and an interactive way of performing what-if analysis.
Past Event: 12 November 2015
Watch Sections from the TAAM Recording on Various Topics that were Covered:
Intro to Data Analysis Pipeline & Processes
by Michael O'Connell
Build & Configure Spotfire Dashboards
by Catalina Herrera
Spotfire Data Functions Using TIBCO® Enterprise Runtime for R
by Peter Shaw
Predicting Customer Churn and Lifetime Value with Spotfire
by Anna Nowakowska & Peter Shaw
Spotfire APIs, IronPython & Product Updates
by Andrew Berridge
Spotfire Map Charts & Advanced GeoAnalytics
by Mathew Lee
Past Event: 25 June 2015
The Agenda included
Watch Sections from the TAAM Recording on Various Topics that were Covered:
What is Data Science?
by Michael O'Connell
Using data for Data Science?
by Michael O'Connell
What types of analytics can you do with Spotfire?
by Michael O'Connell
Quick overview of the Spotfire platform
by Michael O'Connell
What is TIBCO Enterprise Runtime for R
by Michael O'Connell
How to use Expressions and R in Spotfire
by Jagrata Minardi
How to build interactive maps for analysis
by Ian Cook
Using Spotfire models for real-time event processing
by Ujval Kamath
How to use the Spotfire API
by Andrew Berridge
Wrap up to TIBCO Advanced Analytics Meetup June 2015
by Michael O'Connell
Download Demo Examples from TIBCO Access Point
These are examples of Spotfire® analysis templates, data functions, in-line expression scripts and expression functions including row correlations, embedded graphics using the RinR library, geolocation analytics and customer analytics. An Iron Python example for database writeback is also included. These examples were covered in the TIBCO® Advanced Analytics Meetup in June 2015.
Agenda for Tuesday January 22nd 2019:
- Welcome and TIBCO Data Science update by Michael O’Connell, Chief Analytics Officer
- Demo: Life Expectancy data analysis to understand longevity by Steven Hillion, Sr Director Data Science
- Demo: Formula 1 simulator predictions for lap time and crashes by Colin Gray, Data Scientist
- TIBCO Community Update by Heleen Snelting, Director Data Science
- Q&A
- pdf version of slides for the full Meetup including welcome by Michael O'Connell and TIBCO Community update by Heleen Snelting
- The full recording of the Meetup is now available on demand via this link or via Youtube
- embedded Youtube video and description of the demos:
- pdf version of slides for the full event including welcome and Data Science update by Michael O'Connell and TIBCO Community update by Heleen Snelting
- The full recording of the Meetup is now available on demand via this link or via Youtube
- embedded Youtube videos and description of the individual demos:
- Community Blog on this topic by Colin Gray
- pdf version of slides for the full event including welcome and Data Science update by Michael O'Connell and TIBCO Community update by Heleen Snelting
- The full recording of the Meetup is now available on demand via this link or via Youtube
- embedded Youtube videos and description of the individual demos:
- pdf version of slides for the full event including welcome and Data Science update by Michael O'Connell and TIBCO Community update by Heleen Snelting
- Youtube Video of the full event
- Q&A document for reference
- embedded Youtube videos and description of the individual demos:
- Learn more: Anomaly Detection Summary Page
- Or try it out with your own data! download the Anomaly Detection template for Spotfire from the TIBCO Community Exchange
- pdf version of slides - including welcome by Dan Rope with update on AI aspects of Spotfire X and TIBCO Community update by Heleen Snelting
- Link to the Youtube video of full event
- embedded Youtube videos and description of the individual demos:
- pdf version of slides - including welcome by Dan Rope with update on AI aspects of Spotfire X and TIBCO Community update by Heleen Snelting
- Link to the Youtube video of full event
- embedded Youtube videos and description of the individual demos:
- pdf version of slides - including welcome by Michael O'Connell with update on TIBCO Analytics and Data Science in the Cloud and TIBCO Community update by Heleen Snelting
- Link to the Youtube video of full event
- embedded Youtube videos and description of the individual demos:
- pdf version of slides - including welcome by Michael O'Connell with review of TIBCO Connected Intelligence and a TIBCO Community update.
- Link to the YouTube video of full event
- embedded Youtube videos and description of the individual demos:
- This is the pdf of the presentation of Hurricane Analytics
- Link to recording of full Webinar (links to specific demos below)
- An Introduction to Data Science Processes: data sources, analytics and guided self-service analytics
- Advanced Analytics Applications: Industry, Fast Data and Big Data / Hadoop Applications
- Software Demonstrations of Advanced, GeoLocation, reliability and sensor analytics,
- Software Tips & Tricks with Spotfire templates, data functions, expression functions, TIBCO® Enterprise Runtime for R or R and Iron Python scripts
Feedback (1)
I'd like to see something about using stats services engine to schedule TERR jobs. Also, would the script used to create the HRAP grid polygons courtesy of Peter Shaw be availble?