Element Speeds Data Preparation By Up To 10x or More for OSIsoft® PI System™ Users

Element Speeds Data Preparation By Up To 10x or more for OSIsoft® PI System™ Users

Element AF Accelerator jump-starts data preparation for time-series and related data

November 14, 2018

SAN FRANCISCO – Element, a leading developer of Digital Twin Management (DTM) software for industrial companies, today announced the Element Asset Framework Accelerator, enabling the preparation of OSIsoft® PI System™ data for analysis up to 10 times or more faster than with other methods. The Asset Framework Accelerator jump-starts the creation of Asset Framework (AF) data models, giving groups across an organization the ability to rapidly, efficiently and reliably prepare data and then analyze it according to individual needs.

The AF Accelerator package simplifies and streamlines the creation of Asset Framework models so that organizations using OSIsoft – encompassing 65 percent of the industrial Fortune 500 and more than two billion licensed data streams – can make optimal use of their data. The AF Accelerator is built from the ground up for OSIsoft users and obviates the need for expensive system integrators or manually creating and maintaining spreadsheets.

“Over the years, OSIsoft PI System has produced a wealth of data but analysis of that data has lagged due to slow and unreliable data preparation,” said Heathcliff Howland, Senior Director of Customer Success of Element. “With the Element AF Accelerator, an Asset Framework can be built in less than a month and organizations are then empowered to quickly build additional Frameworks. This offering specifically kick-starts the journey toward using PI Vision, PI Event Frames, PI Notifications, and increasing the number of successful analytics projects.”

A global oil and gas company using the Element AF Accelerator created an Asset Framework in three weeks versus the six months it needed before. The company went on to create Frameworks for 33 offshore oil platforms encompassing 6,000 data sources, 1.5 million data streams and more than 100 billion data points per year. Once the data was prepared, groups within the company used it to created 1,600 individualized data models. Element’s software ensured that the underlying data accurately and reliably reflected on-going changes in assets and operations.

“What’s really attractive about Element is that you can experiment,” said Steve Kwan, product manager for Asset Frameworks at OSIsoft. “You can quickly build multiple models and hierarchies based on your needs and know that the underlying data accurately reflects the changing nature of your operations.”

The Element AF Accelerator includes:

  • 60 days of access to Element’s software
  • 30 days of remote technical services to build Asset Framework hierarchies at a single plant for up to 10 equipment types
  • Training to help users build new Asset Frameworks independently
  • Check-ins to review progress and next steps
  • Technical support to answer questions and provide guidance

“We’re excited with Element’s momentum,” said Andy Bane, CEO of Element. “The power of Element’s software is being confirmed every day and we’re now starting to roll out solutions tailored to specific users’ needs in the oil and gas, power generation and other industries. Today’s news is part of Element’s larger goal of democratizing industrial data.”

Get more information on the Element AF Accelerator and view our most recent webinar.

About Element

Element unlocks and democratizes industrial data. It enables modern analytics systems to discover insights that transform operational performance, resulting in hundreds of millions of dollars of value. Element’s software pulls data from thousands of enterprise sources and automates the creation of millions of data relationships to rapidly build, continuously update, and manage asset twins of industrial equipment. The Element solution is designed to make industrial data incredibly easy to use and pave the way to insights never thought possible. For more information visit: www.elementanalytics.com