TIBCO Analytics Meetup
Last updated:
12:17pm Feb 07, 2019
Table of Contents

TIBCO Analytics Meetups (TAM) are on-line 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 (this used to be called Spotfire online usergroup) you will receive an email update when the next TAM is scheduled and open for registration!

You can review the YouTube playlist for all TIBCO Analytics Meetups we hosted so far  

Click here if you were looking for a list of physical Spotfire Meetups or User Groups

Next Event: ~ early April 2019

Sign-up for the TIBCO Analytics Meetup group - you will then get notified when the next date and agenda are confirmed and registration opened

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 pdf version of slides used for the Data Wrangling update, Natural Language Generation demo and the TIBCO Community update 

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

Link to pdf version of slides used for the API update and Alerting demo and the TIBCO Community update 

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

View TAAM Recording

View Slides

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

View TAAM Recording

View Slides


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:

  • 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?

vincent.rodriguez 6:35am Oct. 10, 2017