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  • TIBCO Analytics Forum 2019 #TAF19

    TIBCO Analytics Forum (TAF) 2019 was an electric event with attendees and speakers from all over the world. Attendees learned new approaches, heard inspiring stories, networked with their peers, skilled up their abilities, and competed for prizes.


    Spotfire Analytics

    Spotfire Analytics is a comprehensive insight platform for visualization, modeling, streaming, data management, and model ops. The following software was showcased at TIBCO Analytics Forum 2019:

    • Spotfire - The most comprehensive visual analytics platform on the market with built-in data wrangling, predictive modeling, and real-time analytics
    • Spotfire Data Science - Collaborative advanced analytics platform, helping Data Scientists model, deploy, and scale AI/ML solutions across their organization
    • Spotfire Streaming - Enterprise-grade, cloud-ready streaming analytics for quickly building real-time applications at a fraction of the cost and risk of alternatives
    • TIBCO Data Virtualization - Enterprise data virtualization solution that federates access across multiple and varied data sources
    • TIBCO EBX - Master Data Management to govern all your data assets in one solution including but not limited to: workflow, data quality, and role-specific applications
    • TIBCO ComputeDB

    Keynote Speakers

    matt-harris.png.8153963c0d7584ba848fc44bb6deee8e.png   Matt Harris

    Head of IT

    Mercedes-AMG Petronas Motorsport
    With 3.5 TB data transfer per race weekend, over 300 data sensing modules per car, and 18,000 channels of data analyzed per race, the Mercedes-AMG Petronas Motorsport F1 team relies on Spotfire for their success. Matt discussed the intensive operations and research that goes into each race, and how Spotfire is fundamental by helping improve the car's digital twin, pre-event setup of the car, and simulate car setup variations. 
    johan-krebbers_0.png.d955dc80000024b0a78d99098558464e.png   Johan Krebbers

    GM Digital Emerging Technologies /

    VP IT Innovation

    Johan Krebbers and Michael O'Connell co-presented on TIBCO's announced membership in the Open Subsurface Data Universe (OSDU). This initiative, involving over 100 companies, seeks to take upstream energy and put data at the center by creating standards, allowing people to innovate more freely and increase productivity in analytics. Learn more about Spotfire's role in the OSDU.
    michelle-kannapel_0.png.2e99820bc2c0a95a7d3bc41d6fe96382.png   Michelle Kannapel

    Head of IT

    Norton Healthcare
    Michelle showed us the importance of analytics in Healthcare today. Americans spent more than $3.65 trillion on healthcare last year, with 39% being on hospital care alone. Challenges in standardization, shift management, variation in staffing alignment, and other factors all increase the need for analytics. Using Spotfire, Norton Healthcare has been able to benchmark and track, align and predict, and take action and accountability, all producing measurable and impactful results.
    troy-ruths_0.png.24786d2c2d3764a6200c2ff75ec758b4.png   Troy Ruths, PhD

    Founder and CEO

    Troy showed the audience how Petro.ai is helping move you from science to scale. Petro.ai helps oil and gas experts learn from data collected across the entire well life cycle by integrating various sources, modeling operations, forecasting conditions, and visualizing insights, all through a powerful and unique extension to Spotfire. Help your teams work across their data with training, consulting, and customization from Petro.ai. Please visit Petro.ai to learn more about its impact in Oil & Gas Analytics.
    moc.png.c12980d02bc54f28326074cb19a2edc1.png   Michael O'Connell

    Chief Analytics Officer

    In a fast-paced and action-packed presentation, Spotfire's Chief Analytics Officer, Michael O'Connell launched us through the Spotfire Analytics portfolio and the power of making AI work for us. Whether you're trying to use equipment data to learn from past operations, navigating geologies to determine your next capital project, or scoring live equipment data to monitor operations and predict failures in real-time, Spotfire Analytics provides extreme value to businesses in all vertical sectors. In addition to our long-standing Spotfire strength with Spotfire and Streaming. Spotfire has now has extended capabilities in Data Science with data preparation, feature engineering, machine learning and AI operations at scale, Master Data Management to govern all shared data assets, and TIBCO Data Virtualization to federate and manage data across multiple sources at a fraction of the cost of Data Warehousing. Michael closed with an update of the latest and greatest in Spotfire and Spotfire Data Science. 
    matt-quinn_0.png.6ba341c024ea6b04e578fa5b066dafff.png   Matt Quinn

    Executive Vice President, Products & Technology, and COO

    TIBCO Software Inc
    TIBCO's COO guided the crowd through the company's vision, where we are redefining what it means to manage and take action on data using our 3 portfolio product investment areas: InterConnect Everything, Unify Data, and Augment Intelligence. Matt went on to discuss TIBCO and Spotfire's underlying technology approaches of Cloud-native, Open-platform, and AI foundation, and how these help TIBCO customers solve the world's biggest challenges by enabling analysts, data scientist and developers to work together at scale.



    TIBCO announced its membership in the OSDU, an oil & gas data standards project to accelerate the use of analytics in the industry. You can learn more on our dedicated page HERE.

    Breakout Sessions



    Supplier Spend Analytics
    Presented by: Kirby Bucker & Sanjay Pethe
    Supplier Spend Analytics is a Spotfire Analytic Application that integrates data from SAP, engineering systems, contract systems, and market intelligence systems to facilitate the evaluation of ConocoPhillips global/enterprise spend. Transactional records can be viewed and compared across a variety of elements, including material/service categories, geographies, well classifications, and suppliers, to improve spend visibility and reporting accuracy. By leveraging features, including price-trend modeling, cost-per-well evaluation, inflation/deflation capture, and ConocoPhillips pricing vs Market, users can more strategically engage in sourcing and post-award contract management activities.
    SLIDES: conocophillips_final.pdf


    Amazon Web Services (AWS)

    Open Subsurface Data Universe
    Presented by: Carlos Castro
    Today's subsurface data is not optimized for data-driven applications, is very application dependent, and is often stored in silos with limited search capability. The Open Subsurface Data Universe (OSDU) is a standard data platform borne out of a collaboration between industry participants to address these business challenges. AWS is leading the way in making available a secure, reliable, global, cost-effective, and performant implementation of the OSDU standard. Oil and gas operators will benefit from the reduced resource and cost burden of independently designing and validating a subsurface data platform, and software vendors will benefit from having a standard way to search, access, and store subsurface data.


    Samsung Austin Semiconductor

    Samsung Austin Semiconductor: Creating a Self-Service Data Analysis Culture
    Presented by: Brian Regan
    Want to develop a self-service data analysis culture in your organization? What are the advantages? How can you take the necessary precautions to maintain system stability? How can you ensure data is represented accurately? These questions and more will be addressed in this session, as we share Samsung Austin Semiconductor's self-service approach to fostering a data-driven culture. Learn about the importance that both people (empowering users, building a community, leveraging developer resource) and platform (protecting database performance, ensuring data integrity, overcoming scaling challenges) play in ultimately getting the most value out of data.



    Transforming Unconventional - A Digital Journey where Artificial Intelligence, Analytics, and Automation meets True Big Data
    Presented by: Geraldine McEwan
    Many of us are now years into our digital transformation journey, offering the opportunity to work in new ways that were not previously possible. The combination of elastic compute and comprehensive data manipulation capabilities ensure that the foundation for a data-driven approach complements and enriches deep physics-based science to solve our challenges. Workflows are truly transformative through enrichment of analytics. When dealing with large data volumes?as in unconventional oil and gas operations?machine learning and business intelligence tools provide automation of routine tasks bringing deep insights and fast data drill down to further reduce cost and optimize planning.



    Augmented Intelligence Transforms Competitor Insights and Decision Making
    Presented by: Graeme Gordon
    The Exploration Game in Hess was set up to increase awareness of and interest in key exploration wells in Hess focus areas. Also, to encourage strategic thinking, which company is doing what and where, and to have some fun! Planned exploration well and drilling rig location data from over 25 external vendors blend together every 2 hours using live data feeds, machine learning, cloud services, and ultimately display in Spotfire web browser user interfaces. Digital transformation has come as a result of getting the foundation right on the IT architecture side, digital enablement through the speed of the Cloud, data access and front-end applications. Changing the way we work on the internal Hess client cultural side is seen as key. Updating the machine learning model through subject matter expert input, training and column transformation leads to augmented intelligence to provide better data insights. This is done through column schema mapping, unifying the data, and blending data into well data pairs and clusters. Data is a valuable resource. Better data enables sharper insights from ML and AI, produces better decisions, drives increasingly autonomous operations, and generates better data. Too much time is spent on data preparation vs. analysis and action. Removing the blinkers unlocks insights by getting the right data to the right people quickly.


    ONE OK, Inc

    Advanced Analytics, A Better Way to Analyze Pipeline Integrity Data
    Presented by: Cameron Duran
    Over the past several years, the pipeline industry has undergone several significant changes in order to improve safety and reliability. With advanced inspection technologies, an ever-increasing amount of data is captured and utilized to evaluate the condition of the pipeline. Using advanced Spotfire data visualizations, an analyst can more effectively and efficiently perform analysis, collaborate with existing data sets, and align previous results for predictive analytics. This session will demonstrate how a data intensive industry can benefit from implementation of business intelligence technology.  



    F.A.I.R. Principles Empowering Visual Analytics with Spotfire
    Presented by: Michelle Lacy
    Visual analytics coupled with data wrangling and a master data management model paints a complete end-to-end picture of a data operations pipeline and complements our data-centric development strategy very well. Spotfire functionality aligns very closely with the F.A.I.R. data principles. It supports knowledge discovery, data integration, and enables reuse of data via its strong collaborative capabilities. Our predictive capacity and decision accuracy is highly dependent on the level of data connectivity and collaboration. Bayer's scientists and business leaders are empowered to make new discoveries and insights through visual analytics that drive innovations and contribute to our digital transformation strategy.
    SLIDES: bayer_final.pdf


    Western Digital, Inc.

    TIBCO Spotfire Deployment and Governance in the Global Enterprise
    Presented by: Mohana Donthabhaktuni
    Companies like Western Digital typically have Spotfire software hosted in various regions across the globe. Licenses are purchased in these regions with different terms and conditions. With an increasing demand for Spotfire analytics software throughout the company, it is challenging for Spotfire support administrators to ensure environments are governed and users supported. A Spotfire dashboard is being built to track real-time usage, governance, and component licenses. It is ensuring appropriate governance and access, and promoting a center of excellence and best practices across the organization.
    SLIDES: western_digital_final.pdf


    USDA AMS Cotton Program

    USDA Cotton Program Picks Spotfire for Operational Efficiency
    Presented by: Darryl Earnest
    The USDA's Agricultural Marketing Service Cotton Program grades every bale of cotton produced in the U.S., and in doing so, must ensure consistent, accurate, and efficient operation of its 230+ electronic grading instruments nationwide. To achieve maximum performance, the Program revamped its entire Quality Management Program by using real-time, known-value-based cotton data to ensure accuracy and consistency, approach 100% optimization, reduce costs, and increase efficiency using Spotfire analytics. Learn how USDA Cotton accomplished this paradigm shift in its continuous pursuit of excellence.
    SLIDES: usda_ams_cotton_program_final.pdf


    Occidental Petroleum (Oxy)

    Competitor Surveillance Analytic Application
    Presented by: Andrew Lach & Andrew Pruet
    The Base Surveillance Team at Occidental Petroleum Corporation has created the Competitor Surveillance Tool (CST) in Spotfire software that seamlessly combines data from Oxy systems and IHS. The CST is an enterprise-level dashboard for viewing and analyzing Permian Basin well performance. Engineers use the it to access production, pressure, directional-survey, and completions information as well as to conduct decline curve analysis, build type curves, and evaluate economics.


    IHS Markit

    Defining Stratigraphic Features from Seismic Attributes using Multi-Variate Analytics techniques
    Presented by: Camilo Rodriguez
    Attribute computes are applied to seismic data to better understand basin structure, stratigraphic features, and rock and fluid properties. The analysis and interpretation of these mathematical computations are time consuming, and simultaneously visualizing multiple seismic attributes is challenging. IHS Markit has developed a methodology integrating Kingdom and Spotfire software, where combining Principal Component Analysis and multiple unsupervised classification techniques like K Means, hierarchical classification, and SOM, will allow interpreters to visualize multiple attributes in just one map. From there, they can interpret the meaning and contribution of every variable in the map, extract the most relevant variables out of hundreds for more detailed analysis, and run seismic classification to better delineate the basin.
    SLIDES: ihs_markit_camilo_rodriguez_final.pdf



    How Much Running Room Does the Shale Revolution Have Left
    Presented by: Andrea Anderson
    The shale revolution has produced growth in production that has been unparalleled in the history of the oil industry. In fact, shale's potential to grow and satisfy demand growth has capped long-term price expectations, and yet, the resource is not infinite. The reality is that every play will eventually look like the Barnett, able to generate cash flow, but with limited growth potential due to exhaustion of the very best acreage. In this session, we will dive into the data of each of the major oil and gas shales to understand the level of development of the productivity core and provide some ranges as to the time horizon for these growth engines.



    Plug & Abandon Excel; Streamlining Oil & Gas Production and Economic Modeling in Spotfire
    Presented by: Jonathan Henderson
    For oil and gas economic modeling, most companies are still using legacy platforms like Microsoft Excel that weren't purpose built for large datasets, advanced analytics, and machine learning, areas in which Spotfire shines. Using Spotfire software, a platform was designed from the ground up that couples the rigor and requirements of O&G engineering with a user interface and workflows needed for finance teams. By keeping all workflows within Spotfire software, production and economic modeling can be done more efficiently without needing to switch between other conventional tools.
    SLIDES: enertel_final.pdf


    Airbus Defence and Space

    Building our Future with Spotfire , Visualizing Ground Assets with Custom Satellite and Drone Imagery and Analytics
    Presented by: Tracey Bjick & Chris Sheil
    Airbus provides comprehensive satellite and aerial image data collection, geospatial data management, and analytics that, coupled with Spotfire capabilities, can help O&G teams visualize up-to-date imagery. Join a discussion to influence how Spotfire uses Airbus satellite, aerial, and drone imagery to address your digital transformation needs. See how Airbus imagery can help you monitor activity and identify changes in infrastructure like well pads, water retention pools, vehicle placement, and a host of other use cases.
    SLIDES: airbus_final (1).pdf


    OAG Analytics

    Using AI to Improve Well Spacing with Spotfire and AWS SageMaker
    Presented by: Luther Birdzell
    Large-scale development projects in unconventional U.S. basins have highlighted the importance of understanding how well spacing affects production and accurate forecasting. Operators are using insights from cloud AI to better understand the balance between well spacing, localized rock properties, and completion design to improve drilling unit economics.
    SLIDES: oag_analytics_final.pdf


    Explore Digits, Inc.

    Analytics Modernization leveraging Spotfire Data Science and AWS
    Presented by: Ravi Hubbly
    Healthcare clients face complex healthcare data challenges including fuzzy matching, analysis paralysis, legacy analytics, and siloed workflows that restrict them from taking advantage of modern analytics including Machine Learning and Artificial Intelligence (AI). Learn how solutions from Explore Digits using the Spotfire Data Science platform and AWS cloud services enabled large healthcare enterprise benefits in creating an end-to-end analytics capability.
    SLIDES: explore_digits_final.pdf



    Building to Last - Nielsen's Digitial Transformation Journey
    Presented by: Jose Luis Guevara
    The right data can mean the difference between guessing and knowing. Companies worldwide rely on Nielsen's data for market information and marketing spend optimization. Leveraging advancements in artificial intelligence, machine learning, image recognition, and optical character recognition, along with the Spotfire Platform, Nielsen has built a new operations data collection framework. The framework enables standardization of content collection, improvement in data quality, and reduction in data collection and delivery time. This presentation describes the Continuous Digitization and Reinvention (CDAR) framework and its underlying technologies. Adopted in over 100 countries, CDAR helps turn big data into smart, actionable data for clients.


    Riteway Sales and Marketing

    Making Spotfire End User Friendly while Gaining 100% Adoption
    Presented by: Elisa Westlund
    In the world of fast-evolving analytics, endless data streams, and complex data wrangling, the end users at Riteway Sales and Marketing are just looking for the right information at the right time, with actionable insights. Spotfire software is not just for the advance analyst and data scientist, but can delivered on demand to spark insights for key end users who can engage with the data in a way not possible with traditional dashboards. This session will focus on gaining adoption through meaningful delivery to key enterprise stakeholders.
    SLIDES: riteway_sales_and_marketing_final.pdf


    PDF Solutions

    Cognitive Analytics for Semiconductor Manufacturing, A Smart Testing Application
    Presented by: Ken Harris
    The semiconductor manufacturing industry is now leveraging its data and applying artificial intelligence to solve its business problems. For example, fabs are combining and analyzing data to predict when a tool for a particular process needs maintenance, or to optimize throughput throughout the fab. Some work has also been done on utilizing the entire fab's data to control the manufacturing process to improve yield and device performance. PDF Solution's Smart Testing? uses ML to predict if a chip will pass a test station before testing it on that test station. Using this system, customers have been able to skip a significant amount of expensive tests while maintaining very low defects and minimal field returns. In this talk, we will demonstrate how the latest machine learning methodologies are brought to bear in semiconductor use cases.
    SLIDES: pdf_solutions_final.pdf


    Panel: University of Houston

    Spotfire Analytics in the classroom & beyond - Making sense of datasets through interactive and dynamic data mining & discovery leading to analytical visualizations incorporated into dashboards & applications
    Moderator: Geoffrey Lakings (i2 enabled)
    Speakers: Dr. "Edwin" Art Smith (Executive Professor), Dr. Blake Ives (Professor), Julie Tejada (Previous Student)
    In this panel, we will discuss the challenges students encounter with data sourcing, transformation, modeling, and visualization. We will review how these challenges are resolved through leveraging Spotfire in the Classroom. We will present examples of how Spotfire Analytics is being used at the University of Houston to enable students in both their specialized research projects and in transforming energy datasets into energy dashboards. We will also look at how students identify the data they will be leveraging in their Spotfire Analytics data mining, discovery, and visualization endeavor: breathing life into data because a picture is worth a 1,000 words.


    Trinity Health North East

    Explorer in Action
    Presented by: Colin McGuirk
    Review the broad reach of analytics across multiple disciplines within a large health system
    SLIDES:  mcguirk_-_oct_2019_db_edits_2_0.pdf


    Norton Healthcare



    Cultivating Physician Engagement with Data
    Presented by: Kimberly Carter
    Comprehensive one-stop shop for the physician, with abundant metrics at their fingertips



    Galway Clinic, West of Ireland

    Creating a High Reliability Analysis to Improve Quality, Efficiency, and Productivity in Medical Imaging
    Presented by: Siobhan Brogan
    Data governance and demonstrable performance improvement in the quality and efficiency of care
    SLIDES:  galway_clinic_presentation_final_0.pdf


    Change Healthcare

    Analytics to Improve Population Health & Reduce Variations in Care
    Presented by: Denise Johnson
    Population health analytics portfolio using Explorer to manage financial and clinical risk, identify and close gaps in care, and reduce variations in care


    Chatbot Implementation in Spotfire to Retrieve Specific Insights from Any Dashboard
    Presented by: Sree Madidi
    Chatbot implementation in Spotfire software to retrieve specific insights from any dashboard

    Improve your Data Strategy: TIBCO Data Virtualization in Healthcare Organizations and Other Explorer Updates
    Presented by: Scott Roesberry
    TIBCO Data Virtualization use cases to improve a healthcare organizations' data strategy and Explorer updates

    Hey Siri. Take Me to Value-based Care!
    Presented by: Deb Bulger
    Explorer template to help you identify your organization's market position in its journey to value-based care



    Analytics in the Energy Sector: Harnessing Growing Data and Its Value
    Presented by: Peter Shaw, PhD
    The energy industry has always needed to deal with a large amount of data, from planning to actively managing complex assets spread across wide geographies. Field assets are becoming equipped with sensors that provide a large amount of detailed, real-time data. Dealing with this tsunami of data provides both a challenge and an opportunity. We'll describe how our environment provides a framework for our customers to both respond to this data flow in real-time and manage and track business actions. We'll emphasize work in Spotfire geoanalytics, predictive capabilities, and streaming.
    SLIDES: shaw_taf_energy_use_cases_-_geoanalytics.pdf

      Digital Transformation of Manufacturing: From Reactive to Proactive Management of Equipment, Processes, Products, and Factories
    Presented by: Mike Alperin
    A major transformation is taking place in manufacturing. New capabilities for processing streaming sensor data: along with big data, machine learning, and edge technologies are driving the industry from reactive problem-solving towards increasingly proactive management of equipment, processes, products, and factories. It is now becoming possible to aggregate, analyze, and rapidly act on vast quantities of data being generated. Hear how we are enabling customers with solutions such as predictive maintenance, automated pattern classification, anomaly detection, and product and process digital twins.
    SLIDES:  mfg_breakout_-_taf_2019_-_distn_0.pdf
      Emerging Trends for Innovating with Data: Blockchain, AR, and NLP
    Presented by: Greg James
    This session, in a panel discussion format, will look at emerging trends for securing and accessing data. The ability for users to consume information in a variety of forms is becoming more important, as is the need to make sure information is trusted and secure. Along with the discussion, the panel will provide examples of how technologies such as blockchain, augmented reality (AR), natural language processing (NLP), and knowledge graphs can be applied in the enterprise today.

    Technology Hub



    A TAF attendee tests out an F1 Simulation, powered by Spotfire Data Streams and Spotfire. The driver's predicted lap times are computed and displayed in real-time throughout the race.

    Attendees were able to further their analytics knowledge with experts from Spotfire and our sponsors. In the Technology Hub, dedicated booths were available for:

    Popular Use Cases

    Shown on the mainstage, at the booths, and during presentations, here are some crowd favorite demos from the forum




    Real-Time Equipment Surveillance

    Try it out!

    Several fictional wells in Texas are monitored for pressure spikes and current drops on their Electrical Submersible Pumps (ESP). Explore the different wells and adjust alert settings on the ESP equipment this real-time dashboard.
    churn_analysis.thumb.png.ae2ae0d7389dba6ee80ec9bdf0d9f13d.png Churn Analysis

    Companies that sell subscription services are highly motivated to keep existing customers and for customers who are at risk of stopping service, incentivize them to stay utilizing appropriate drivers. Utilizing Spotfire Data Science, low code/no code models can be developed to accurately predict churn and identify significant drivers of churn. Those models are automatically integrated with Spotfire to easily visualize results.
    e.gif.09fae4f40f27285b5be772bc1791f7b9.gif Real-Time Flight Tracking

    Try it out!
    This dashboard uses live real-world airline flight data captured by SDR receivers in Spotfire offices. The real-time data is streamed into Spotfire to visualize as flights are arriving and departing from specific airports.
    ezgif-2-11d5d285a5.gif.d8f9abfbc4ae11771acf494138ec0ff6.gif Real-Time Racing

    Try it out!
    This analysis shows data from a car driving along a race track. Explore and compare the car's real-time sensor data with the best recorded historical reference lap. By doing so drivers are able to improve lap times.  Learn how by partnering with Spotfire, Mercedes-AMG Petronas Motorsport is able to interconnect data and augment their intelligence to deliver championship-worthy performance.
    sfo_airport_2.thumb.png.9a31669f11545696303e340e9510225f.png Custom Floorplan (Crowd Analytics)

    Try it out!
    This analysis utilized public survey data and a custom-made map Shapefile for the San Francisco Airport to visually explore the best and worst amenities across the airport. By comparing the proximity of airport amenities, we can better asses which airport amenities need improvement. You can learn more with a walkthrough at Custom Spotfire Maps of SFO Airport
    stability_and_shelf_life_analysis.thumb.png.c88260cec6871617160384b743b370a2.png Stability and Shelf Life Analysis

    When predicting shelf life, there are industry-standard processes that must be followed in determining batch probability and then estimating shelf life. Moreover, these solutions must be validated in regulated industries. A single node developed following ICH guidelines provided by Spotfire Data Science can be used to streamline this process and be used in automated reports and even integrated with Spotfire Data Science for dynamic visualization.
    heart_disease.thumb.jpg.f325e0ffa08b9ea19fa2d5aa1b9a104b.jpg Heart Disease Analysis

    It is important to be able to discriminate different drivers of heart disease between different communities. Spotfire Data Science allows users to easily create predictive models based upon historical data including evidence of heart disease. Those models, when integrated with Spotfire, allow subject matter experts to isolate geographic areas and determine individual drivers of heart disease within those geographies.
    production_forecasting.thumb.gif.b12c819401ceb1838797705eecfd00ff.gif Production Forecasting

    Try it out!
    Drill down on historical gas production in Texas wells. View production by operators over time, and forecasted production using Spotfire built-in forecasting algorithms.

    Other notable resources on advanced use cases:

    LIVE Broadcasts


    Introducing LinkedIn Live Broadcasts from Spotfire! Straight from the floor of TAF, Mac Jaenhart and Brian Guiducci talk to some of our featured Breakout Session speakers about their experience at #TAF19 and how they are using Analytics to further their organizations' goals.





    Standing room only! The Advanced Spotfire Training was bursting with activity on Day 3 of the Forum

    Attendees had a chance to get hands-on with the new Spotfire X during the Beginner and Advanced Spotfire Training. Students were able to learn how to create visualizations, wrangle data in the Data Canvas, create dashboard controls, and implement advanced scripts. 




    Almost 50 data gurus competed for the ultimate prize in this year's Hackathon! The top finishers shown here with Spotfire Chief Analytics Office, Michael O'Connell and Hackathon Leaders, Neil Kanungo and Andrew Berridge.

    An exciting TAF closed out with our annual Hackathon competition. Participants were challenged to use geoanalytics, multivariate analysis, and build streaming visualizations. The top finishers were:

    1st Place - Ivan Leung, Occidental Petroleum (Oxy)

    2nd Place - Derrick Roberts, Enterprise Products

    3rd Place - Atheer Al-Attar, Enterprise Products

    4th Place - Richard Barthel, Texas Instruments

    To see more on the challenges and interesting insights from the competition, visit our dedicated TAF Hackathon page.


    Click the logos below to view more information from our sponsors.


    production_forecasting.thumb.gif.f02f16bc07e127cd22151bb4e51909a0.gif petro-logo-fullcolor.thumb.jpg.c33a6d02ecb326b7566a8751d96618a7.jpg


    8cabc139ef9b78bee66d6a7093eaa241_0.thumb.png.6a0e92d36d7cd4dfde5cf4ce910e769d.png ihs-markit-vector-logo_1.jpg.def105555167b43a44ead9590149f4a8.jpg


    A La Carte


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