X-ACT Digital Twin + Graph Analytics
Identify problems and the most strategic solutions across dynamically complex business and operational ecosystems
Read the Report
ENTERPRISE MANAGEMENT ASSOCIATES® (EMA™) White Paper, written by Dennis Drogseth
EMA interviews and EMA market research help confirm that no other solution in the market today is designed to bring IT and business components and processes together in a single, unified model as deeply and as efficiently as X-ACT.
Solve problems before they negatively impact operations.
Take actions to cut costs and improve the efficiency of operations.
Know how to develop new opportunities and meet changing market requirements.
People use X-ACT® to build and validate plans in a virtual environment before developing or making decisions to change production assets, processes, products and services.
Through what-if analysis, X-ACT provides the intelligence teams need to know what is happening or may happen in the future. With this knowledge, organizations are better prepared to act quickly and deliver more business value.
X-ACT is the only solution available today that allows organizations to quickly and cost effectively model both business and operational interdependencies with equal depth to prescriptively expose the business impacting risks that BI, simulation, AIOps, and other analytic investments often miss.
X-ACT produces critical predictive insights and offers correctional guidance so users know with confidence how to improve business outcomes by either minimizing risks or optimizing entire business and operational ecosystems.
X-ACT actively monitors systems to identify circumstances under which changing dynamics can negatively impact the quantity, quality and/or cost performance of business processes.
X-ACT helps users identify significant risks across all layers (business, application, server, database, disk subsystems and communication) and understand the risk in business terms.
X-ACT uses graph analytics to analyze many-to-many relationships and predict behaviors more accurately and faster than big data and statistical approaches—which are limited by their dependence on historical data.
X-ACT helps users quickly model business, IT and systems to understand interdependencies, expose the root cause of risk and anticipate the future impact.
X-ACT reduces the time to solution by automating the diagnosis and delivery of remedial recommendations directly to those empowered to act—well before any symptoms of problems appear.
Getting started is easy. A library of over 10,000 pre-modeled components and comprehensive case knowledge base helps users (even those without analytics experience) derive value in 10 days or less.
Color coding highlights risks across all business and technology layers
Graphs show conditions under which the cost of production will exceed revenue
Component metrics expose the root cause of system limits and instability
Rules automatically apply corrective actions or alert system stakeholders of new risks
X-ACT encodes rules, system behaviors and hybrid decision making capabilities into software so users can not only maintain powerful, scalable and highly flexible systems, but also fulfill ambitious efficiency and earnings objectives.
“In our first deployment, within 24 hours we discovered an incident issue that we hadn’t been able to diagnose before.”
“X-ACT can provide unified mathematical modeling and analytics across both business and IT, including applications and infrastructure. It does this in order to evaluate whether a business-related or IT-related component is performing as it should, as well as what the tradeoffs would be if you made a specific change to one or multiple components.”
“X-ACT has delivered on projects at sometimes nearly ten times less the cost that it would have taken us had we gone another route.”
“X-ACT tells you where the problems are, where they are likely to materialize in the future, and how planned changes on all fronts may affect the outcome one way or another. This makes investments in new resources, if they’re needed, a fact-based discussion with a clear business context, for instance.”
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