Datakwip Announces Rollout of Datakwip 2.0

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Datakwip, a cloud-based building analytics software company in Frederick, Maryland, announced today the rollout of Datakwip 2.0. This next generation of Datakwip’s internationally recognized building data management and analytics platform includes a host of new features, equipping users with better accessibility, a more intuitive and durable user interface and, most important, far superior autonomy.

Datakwip, a cloud-based building analytics software company in Frederick, Maryland, announced today the rollout of Datakwip 2.0. This next generation of Datakwip’s internationally recognized building data management and analytics platform includes a host of new features, equipping users with better accessibility, a more intuitive and durable user interface and, most important, far superior autonomy.

“We couldn’t be more excited to launch this new version of our platform,” said Datakwip President and Chief Executive Cory Perdue. “We couldn’t have accomplished this without the invaluable feedback of our amazing customer base. In a way, 2.0 is an expression of gratitude. With the input of our users, we are one step closer to solving the energy crisis in the built environment.”

Datakwip 2.0 includes the following new features:

  • A redesigned front-end framework for improved speed, style and flexibility
  • A Google single sign-on (SSO) option that allows users to sign in with an existing email account rather than having to create a new account
  • Account management upgrades that give users the freedom to create and manage their own accounts and organizations
  • A continuously updated activity feed of various events across their building sites over time
  • A customer-facing analytics engine that allows anyone on the platform to create new ‘analytic flows’ via drag and drop; establish customizable, scalable and shareable data management rules; anticipate rule implementation and integration across assets, and; test rules prior to implementation;

“Not only will these new features enhance the user experience and the effectiveness of the Datakwip platform for our customers, but it also affords the Datakwip team greater capacity to build-out and deploy new features in the future,” said Datakwip Director of Engineering Brett Boyer. “Datakwip 2.0 is the foundation from which we’ll continue to serve our customers’ evolving needs and work with them to solve the energy crisis in the built environment.”

Datakwip’s intuitive cloud-based platform provides users with near real-time building intelligence to economically detect, implement and continuously verify operational, energy and emissions savings – without the hassle and expense of installing extra hardware. Its distinctive technology is hardware and software agnostic, making it compatible with existing and new building automation systems, thus enabling users to connect buildings and their energy-intensive assets to simplify and optimize real-time building energy management. Datakwip works with customers to unlock their building’s performance potential.

Datakwip is utilized in many buildings today and has an innovative portfolio of products with five pending patent applications for novel innovations within the built environment. Datakwip was recently recognized as one of the 50 most promising startups in the construction ecosystem in CEMEX Ventures, Boston Consulting Group (BCG), BuiltWorld, and Tracxn’s 2019 listings.

About Datakwip
Datakwip is a Frederick, Maryland-based cloud analytics platform and smart building optimization software company that helps customers reduce energy usage by leveraging existing equipment without any extra hardware. Datakwip’s unique software platform boasts prolific deployment capabilities, including near real-time and continuous analysis of deep data from buildings and facility equipment, thereby equipping users with a level of actionable insight into ROI and other key metrics that is unmatched in today’s marketplace. For more information, please visit datakwip.com or email sales@datakwip.com.

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Jenny Wang
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