UNDERSTANDING 4ATMOS


Four Atmospheres is 99 feet underwater. Only the most experienced divers can dive to this depth and below. In business, you need a technology partner who has the experience and “Deep Domain” knowledge to help you “Dive Deep”…deeper than you’ve ever gone in order to realize the your greatest potential in Predictive Analytics, Big Data and the Industrial Internet of Things (IIOT). You need a team that knows how to swim with the “sharks” and what to do when the pressure rises and the risks are high. THE 4ATMOS DIFFERENCE

“Win / Win” Success in Every Project


The 5 Dimensions of MBM®


Incentives

Rewarding people according to the value they create for the organization.

Decision Rights

Ensuring the right people are in the right roles with the right authority to make decisions and holding them accountable.

Knowledge Processes

Creating, acquiring, sharing and applying relevant knowledge, and measuring and tracking profitability.

Virtue and Talents

Helping ensure that people with the right values, skills and capabilities are hired, retained and developed.

Vision

Determining where and how the organization can create the greatest long-term value.


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Consultative Services

4Atmos provides our customers with consultative services based on their needs. Each project is assessed, scoped and a proposal issued.

The 4Atmos Difference quickly becomes apparent from the initial contact. Each consultant is an expert in their field and have experience in the areas of: business processes, change management, predictive / prescription analytics, big data, and the Industrial Internet of Things (IIoT).



  • cloudera
    hortonworks-logo-300x113
  • logo_mapr

Big Data / IIoT

Big Data and the Industrial Internet of Things (IIoT) go together as a critical part of providing enterprise-wide Predictive / Prescriptive Analytics.

Using the proven Mtell™ framework and integration architecture, 4Atmos customers can draw from billions of data points in hadoop databases to increase the precision and accuracy of the Machine Learning profiles (both anomaly and supervised learning).

The data can reside in a secure cloud server or in a private-cloud environment (hosted or on-premises)

Hadoop Vendors include:

  • MapR
  • HortonWorks
  • Cloudera

Managing Risk

All 4Atmos projects have clearly defined success criteria and target ROI.

Managing risk requires experience to ensure that goals are achievable, quantifiable and realistic. It also requires good communication, tribal knowledge from subject matter experts, interaction, ownership, visibility and leadership.

No two projects are the same but the Mtell™ solutions provide an excellent framework for being able to look at the data through a “single-pane of glass” regardless of the data source. This makes Mtell an excellent choice for data scientists as a platform for managing their mission-critical projects.

One of the most important aspects of managing risk is to get information into the hands of the stakeholders as soon as possible after an event is detected.