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.

ConocoPhillips

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.

Schlumberger

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.

Hess

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.  

Bayer

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.

Enertel

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

Nielsen 

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

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
SLIDES: madidi_-_oct_2019_final_0.pdf

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
SLIDES: roesberry-iler_oct_2019_final_0.pdf

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
SLIDES: bulger_-_oct_2019_003_lr_final_4_0.pdf

Spotfire

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

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