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  1. Historians continue to get attention from vendors and customers new and old. For recent interest, there is the focus on time series data storage from cloud vendors like Microsoft and Azure, plus open source offerings funded by Silicon Valley venture funds. For the established market, there are articles on the importance of insights from historians, for example, Control Magazine's article last spring. Since all of our business at Seeq involves time-series data stored in a historian – on-premise or in the cloud – we get a lot of questions about historians and wanted to pull a summary together for reference. View the full article
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  3. Batch process manufacturers in industries like pharmaceutical and food/beverage know it is crucial to maintain tight control of processes so batches meet quality standards. Deviation from specifications is a recipe for disaster. View the full article
  4. Seeq is Changing the paradigm of analytics to empower engineers There is a current industry focus on "prescriptive analytics,” the ability to identify assets that will soon need maintaining and to prescribe the best actions to take. It sounds like the holy grail, doesn’t it? But it’s not. View the full article
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    ARC wrote a white paper about Seeq and stated: Devon Energy has implemented advanced data historian and analytics technologies to transform its data into actionable insights that support data driven decisions. This required close cooperation between the company’s operations technology (OT) and information technology (IT) groups. White Paper Summary: Like many other energy companies, Devon Energy, a leading independent oil and natural gas exploration and production company in North America, generates huge volumes of data. The company’s SCADA system monitors 6.5 million data points from multiple sites, with more than 10,000 updates per second. As we learned at a session at the recent ARC Industry Forum in Orlando, Devon Energy has implemented advanced data historian and analytics technologies to transform all this data into actionable insights that support data-driven decisions. This required close cooperation between the company’s operations technology (OT) and information technology (IT) groups. Don Morrison, Real Time Data Engineer at Devon Energy, shared his experience working with newer real-time data and analytics technologies. Devon Energy is based in Oklahoma City with on-shore operations in the US and Canada. The company’s 2017 portfolio was evenly distributed with 46 percent oil, 37 percent natural gas, and 17 percent natural gas liquids (NGL). It has a large inventory of future projects planned, mostly in western Oklahoma, southeastern New Mexico, and the Delaware basin. To continue its successful track record as an industry leader in technology, the company has nurtured a culture of innovation. This includes establishing groups to implement innovative new technologies that provide business value.
  6. ARC wrote a white paper about Seeq and stated: Devon Energy has implemented advanced data historian and analytics technologies to transform its data into actionable insights that support data driven decisions. This required close cooperation between the company’s operations technology (OT) and information technology (IT) groups. White Paper Summary: Like many other energy companies, Devon Energy, a leading independent oil and natural gas exploration and production company in North America, generates huge volumes of data. The company’s SCADA system monitors 6.5 million data points from multiple sites, with more than 10,000 updates per second. As we learned at a session at the recent ARC Industry Forum in Orlando, Devon Energy has implemented advanced data historian and analytics technologies to transform all this data into actionable insights that support data-driven decisions. This required close cooperation between the company’s operations technology (OT) and information technology (IT) groups. Don Morrison, Real Time Data Engineer at Devon Energy, shared his experience working with newer real-time data and analytics technologies. Devon Energy is based in Oklahoma City with on-shore operations in the US and Canada. The company’s 2017 portfolio was evenly distributed with 46 percent oil, 37 percent natural gas, and 17 percent natural gas liquids (NGL). It has a large inventory of future projects planned, mostly in western Oklahoma, southeastern New Mexico, and the Delaware basin. To continue its successful track record as an industry leader in technology, the company has nurtured a culture of innovation. This includes establishing groups to implement innovative new technologies that provide business value. This paper and similar content can be downloaded at the Downloads section of this website. Feel free to add comments below.
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    ARC wrote: Seeq Corporation recently briefed ARC Advisory Group about new enhancements and features of the company’s advanced analytics applications that enable insights on manufacturing data, increasing data discovery for collaboration and data-driven decision making. Seeq applications are transforming the industry with some unique capabilities and enhancements already proven across multiple use cases. The white paper summary: Advanced analytics is a key innovation for digital transformation. Most companies want to find solutions to empower their employees to quickly find insights, rather than waste a lot of time searching for, filtering, and cleansing the available data. They want smarter, easier-to-use tools and solutions that can help their employees – including subject matter experts (SMEs), engineers, and managers - find, under-stand, and take actions to solve their day-to-day problems. While many industrial companies are rolling out pilots and enterprise analytics projects, it is im-portant for users to understand the features and capabilities of the analytics offerings. The analytics technology suppliers are improving and enhancing capabilities and taking advantage of newer tech-nologies; open source, time-series databases; Big Data and machine learning; better connectivity; and new platforms to improve ease of use. But, as a user, how do you know what features and capabilities are important? Can you connect to the data sources you need easily? Can you easily repair or cleanse data that is bad? What algorithms do you need? What questions should you ask? Perhaps most importantly, does the solution apply to the specific needs of process manufacturing industries?
  8. ARC just published a new white paper on Seeq. ARC wrote: Seeq Corporation recently briefed ARC Advisory Group about new enhancements and features of the company’s advanced analytics applications that enable insights on manufacturing data, increasing data discovery for collaboration and data-driven decision making. Seeq applications are transforming the industry with some unique capabilities and enhancements already proven across multiple use cases. The white paper summary: Advanced analytics is a key innovation for digital transformation. Most companies want to find solutions to empower their employees to quickly find insights, rather than waste a lot of time searching for, filtering, and cleansing the available data. They want smarter, easier-to-use tools and solutions that can help their employees – including subject matter experts (SMEs), engineers, and managers - find, under-stand, and take actions to solve their day-to-day problems. While many industrial companies are rolling out pilots and enterprise analytics projects, it is im-portant for users to understand the features and capabilities of the analytics offerings. The analytics technology suppliers are improving and enhancing capabilities and taking advantage of newer tech-nologies; open source, time-series databases; Big Data and machine learning; better connectivity; and new platforms to improve ease of use. But, as a user, how do you know what features and capabilities are important? Can you connect to the data sources you need easily? Can you easily repair or cleanse data that is bad? What algorithms do you need? What questions should you ask? Perhaps most importantly, does the solution apply to the specific needs of process manufacturing industries? Please see the Downloads section of this website to download a copy of this white paper and similar such content. ARC_Advanced_Analytics.pdf
  9. Seeq Secures $23 Million Series B to Fuel IIoT Advanced Analytics Growth Strategy Altira Group is joined by Chevron Technology Ventures and next47 as Seeq looks to extend solutions for business insight derived from manufacturing data SEATTLE, July 18, 2018 – Seeq Corporation, a leader in manufacturing and Industrial Internet of Things (IIoT) advanced analytics software, today announced it has secured $23M in Series B funding led by the Altira Group with participation by Chevron Technology Ventures, next47, the Siemens-backed global venture firm, Second Avenue Partners and other existing investors. The funding enables Seeq to significantly expand its development, sales and marketing resources, and also increase its presence in international markets. “Seeq leverages innovations in big data, machine learning, and open source technologies to enable plant operations, engineering and management personnel to find and share insights in a matter of minutes instead of days or weeks,” says Steve Sliwa, CEO and co-founder of Seeq Corporation. “Our collaboration with the Altira Group and other investors speaks to the need for new analytics offerings for manufacturing customers.” Seeq’s software applications, Seeq Workbench and Seeq Organizer, enable manufacturing organizations to rapidly analyze, predict, collaborate, and distribute insights to improve production outcomes. Seeq is designed to run on-premise, on Microsoft Azure or Amazon Web Services cloud platforms, or in mixed on-premise and on-cloud deployments. Altira Group, headquartered in Denver, Colorado, has over 20 years of investment experience in oil & gas software and technology startups. “Seeq is providing an important improvement in software for customers in process industries to accelerate insights, action, and impact on their production and business outcomes,” comments J.P. Bauman, Principal at Altira Group. “We are pleased to be leading the effort to enable Seeq’s continued growth.” Altira’s investment in Seeq is via its Fund VI partnership with U.S. super-independent oil & gas operators, including Devon Energy (DVN), Pioneer Natural Resources (PXD), Apache (APA), and EQT (EQT). “Finding the oil is not the problem; the challenge is producing the oil economically while anticipating fewer available human resources,” observed Chris Cheatwood, Executive Vice President and CTO at Pioneer Natural Resources. “Seeq empowers our prized engineers, SMEs and managers to more effectively get value out of our data and improve operational efficiency.” Seeq’s opportunity is the large and growing manufacturing and IIoT analytics market, and has multiple vectors for creating business value: Opportunities by industry. Current Seeq customers include oil & gas, chemical, pharmaceutical, pulp & paper, power generation, food & beverage, utilities and discrete manufacturing with remote monitoring/predictive analytics solutions, in countries that span the globe from India to Australia, the U.S., and Europe. Opportunities by vendor. Seeq partners with an extensive set of process automation vendors and works with systems sold by OSIsoft, Emerson Automation Solutions, Inductive Automation, Honeywell, Rockwell Automation, AspenTech, Schneider Electric, GE, Siemens, and others. Opportunities by audience. Seeq expanded its target audience in 2018 from subject matter experts (e.g., process engineers) to include teams collaborating on projects, managers sharing production reports and analytics across the plant, and data scientists wrangling data for advanced algorithms. Opportunities by deployment. Customers may access Seeq’s applications from any modern browser and run the Seeq server application on premise, on a cluster, or in the cloud. This deployment flexibility makes Seeq applicable to any scenario, including customers on a cloud-migration path. “As seen in ARC Industry Forum presentations, Seeq benefits its customers by making it easier for them to gain and share intelligence from their manufacturing data,” said Craig Resnick, Vice President, ARC Advisory Group. “With Altira Group and strategic investors next47 and Chevron Technology Ventures, Seeq is gaining recognition for its ability to help users make better decisions, faster in operating environments.” Seeq’s latest release, R20, introduces new features enabling support for the integration of structured data from SQL Server, MySQL, and CSV files, as well as easier distribution of Seeq Workbench analyses to coworkers. To learn more about Seeq Workbench and connectivity options visit seeq.com. About Seeq Corporation Founded in 2013, Seeq publishes software applications for manufacturing organizations to rapidly find and share data insights. Oil & gas, pharmaceutical, specialty chemical, utility, renewable energy and numerous other vertical industries rely on Seeq to improve production outcomes, including yield, margins, quality, and safety. Headquartered in Seattle, Seeq is a privately held virtual company with employees across the United States and sales representation in Asia, Canada, Europe, and South America. Contact: Michael Risse Tel: 206 801 9339 michael.risse@seeq.com About Altira Group LLC Altira Group LLC is a Denver, Colorado-based firm that works closely with entrepreneurs to provide venture capital funding for emerging oil and gas technology companies. Altira focuses on software, equipment, and advantaged service companies that are helping meet the increasingly complex digital and operational challenges of today’s oil and gas industry. Since 1996, Altira has invested over $1B with partners in over 50 companies. Its Fund VI partners include a select group of U.S. super-independent oil and gas companies that help accelerate the growth of Altira's portfolio companies by serving as large, fast-adopting customers. The Altira team has over half a century of combined experience building successful companies in the oil and gas technology space. Please visit www.altiragroup.com for more information. About Chevron Technology Ventures Chevron Technology Ventures (CTV) pursues innovative business solutions and externally developed technologies that have the potential to improve Chevron’s base business operations and champions their deployment and adoption into the company. Since its inception in 1999 as the first such fund at an oil major, CTV has supported a wide range of companies and venture capital funds. About next47 next47 is a global venture firm created by Siemens that invests in, and partners with, entrepreneurs who think big and build industry-defining companies. With offices in Boston, Beijing, London, Munich, Paris, Palo Alto and Stockholm, next47 gives start-ups unparalleled access to one of the world's largest portfolios of customers in the areas of industry, energy and infrastructure as well as domain expertise in the deep technologies that impact those customers. About Second Avenue Partners Second Avenue Partners (www.secondave.com) is a Seattle-based provider of management, strategy, and capital for early stage companies. Formed in 2000, the firm seeks strong entrepreneurial teams; innovative concepts with market-disruptive opportunities; and models that take advantage of cutting-edge technologies. Second Avenue Partners was an early investor in companies such as Insitu, Modumetal, and MarketLeader.
  10. At the end of January 2016 I packed my bags and set out for a year of traveling and working abroad with 75 people I'd never met as a participant in a program called Remote Year. It would be a journey of a lifetime. In just over a year, I traveled to 26 countries spanning 11 time zones. I summited an 18,000ft (6,000m) mountain, ate piranha I caught from the Amazon rain forest, learned to scuba dive, earned my European private pilot license, and bailed a friend out of a Thai jail. And I did it all while working full time as Seeq's Architect. View the full article
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    Abstract From Data to Direction. Scientists and engineers at the R&D, pilot, and production scales need a new way to harness the power of the data gathered, a new way to drive innovation through an enhanced stata strategy that leverages Seeq®. Crucial elements for enabling pharmaceutical process innovation include: understanding the key physical situation of the process, identifying the right process analytical technology to obtain the required data, connecting disparate data sources, and implementing data analysis and visualization applications that make it easy to analyze and make changes, to improve quality and quantity of medicines. Companies often capture all the data they need to improve operations within their data historians and other databases. However, creating insight from this information can be difficult, expensive, and time-consuming using traditional approaches or limited data analytics tools. For example, it is important to ensure that your data management applications provide: A strong connection with all data historian(s) and other important databases Automatic indexing of the sensor names/tags in the historian to make them easy to search and access related data A comprehensive connection to other data sources Rapid visualization of the time-series data over a designated period of time Streamlined future analysis in a way that also facilitates collaboration With a facile data visualization strategy, the world looks different. Imagine having the ability to easily search and interact with past and present time-series data in a "Google-like" fashion and collaborate in real-time. Imagine being able to make business critical decisions with more confidence simply because you have the data in hand. In this presentation, we focus on a specific case study example in upstream bioprocessing that illustrates how to drive innovations through an effective data strategy using Seeq®. Using an enhanced data aggregation and visualization strategy, factors that affect product quality ca ben rapidly identified, thus further enabling definition of key performance indicators in early development. Leveraging historical data allows small-scale model verification and insights into challenges of scale up.
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    Process manufacturing organizations run on data—from a manufacturing, operations, and business perspective. The data generation and collection strategies at the center of their manufacturing processes have evolved dramatically, especially in recent years. These organizations now collect and store huge volumes of data across their operations, both on and off premise, across multiple geographic locations, in an increasing number of separate data silos. These advances have coincided with the proliferation of connected sensors and increasingly inexpensive storage, leading to an Industrial Internet of Things (IIoT) projected to generate more than 4 trillion gigabytes of data per year by 2020, according to IDC Research. New advanced data analytics have a huge positive impact on the growing volumes of data in many sectors, from retail to financial. So why aren’t all these new analytics widely leveraged in process manufacturing? With so much data and the promise of so many new technologies, why is it so difficult to apply these technologies to process manufacturing and gain the same benefits as other sectors? Why do these organizations still feel like they have too much data and too little insight? At Seeq, we believe this gap—between the data these organizations have and the insight they want—exists because existing data analytics solutions fail to completely grasp the unique challenges and opportunities presented by process manufacturing. When we talk about data analytics, we mean any software enabling process engineers or scientists to: create a cleansed, focused data set for analysis through assembling, aggregating, or wrangling data from various sources, including data historians, offline data, manufacturing systems, and relational databases investigate operations data using “self-service” tools to rapidly analyze alarm, process, or asset data for ad hoc or regular reporting publish or share insights and reports across the organization to enable data-driven action, or enable predictive analytics on incoming data Many data analytics solutions claim to offer some or all of these things—with the goal of finally closing the gap between data and insight. But are they successful, and how do you evaluate if they are? In this paper, we propose five questions we believe every process manufacturing buyer should ask when evaluating an advanced analytics solution.
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    This Insight explains how Abbott Nutrition is using advanced technologies for new insights and faster decision making in two pilot manufacturing applications. The technology eliminates hours of manual work by collecting and integrating the data in OSIsoft’s PI System and using Seeq’s analytics tool to improve production. Abbott’s nutrition business, a division of the global healthcare company, manufactures a wide variety of science-based nutrition products. These range from Similac brand infant formula to adult nutrition brands such as Ensure. Recently, ARC had the opportunity to speak with James Li, an engineering manager in the Abbott Nutrition division. We discussed how the company uses Big Data and analytics to improve manufacturing productivity.
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    As we look ahead in 2017, there is an important issue we need to address first: most firms need to catch up to the technology opportunities available today. Enthusiasm and the potential benefits of IIoT are not being realized by many end users, with the opportunity still ahead of them, instead of being already recognized in bottom-line results. The Industrial Internet of Things (IIoT) has progressed from dream to hype to reality. Today, the basic deployment scenarios of the IIoT solutions we implement for our end user manufacturing customers include: Greenfield deployments, which are primarily found in “smart” solutions related to advanced monitoring and visibility Brownfield upgrades, which are the introduction of IIoT technologies and approaches to existing facilities to expand asset and process visibility and analytics New asset-monitoring services from vendors who are leveraging IIoT to provide remote predictive analytics capabilities for their assets installed at customer sites.
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    ARC Insights by Janice Abel Avangrid Renewables is a subsidiary of AVANGRID, Inc., and part of the IBERDROLA Group. Spain-based Iberdrola S.A. is the largest wind energy company in the world. As ARC Advisory Group recently learned, the company collects a wide variety of data from many different sources. However, in the past it faced challenges when it came to gaining useful insight from these data. Particularly problematic, was the difficulty determining and documenting lost generation across its wind turbine fleet time due to voluntary generation curtailment to meet contractual obligations. Inability to do so, can lead to lost revenues. Avangrid Renewables owns and operates nearly 60 plants in the US. The company is the second largest owner of wind energy projects in the US, with more than 6,000 MW of owned and controlled renewable generation assets, which includes 3,000 wind turbines. It also has 636 MW of combined cycle gas turbine generation, 50 MW of solar generation, plus 55 MW of controlled biomass generation. The company has more than 750 employees in the US. According to company executives, it is focused on operational excellence and selective growth. Avangrid Renewables collects a wide variety of data from many different sources. However, in the past it faced challenges when it came to gaining useful insight from these data. Particularly problematic, was the difficulty in determining and documenting lost generation across its wind turbine fleet time due to voluntary generation curtailment to meet contractual obligations. Inability to do so, can lead to lost revenues.
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