Question Engine
In order to truly identify root cause of a system or customer issue, analysis must be run from numerous inference points. The focus is to concentrate on identifying the appropriate question.
LogicScale is SaaS platform that uses Predictive Analytics to show why software errors occur and exactly how to fix them through an easy to use interface and data connector API.
At the intersection of Mobile Internet, Cloud Computing, Internet of Things and the Automation of Worker Knowledge
In order to truly identify root cause of a system or customer issue, analysis must be run from numerous inference points. The focus is to concentrate on identifying the appropriate question.
Watch as the data feed connector pulls from trace logs, monitoring platforms, ticketing systems and external sources to deliver the right resolution every time.
Predictive
maintenance is the act of mitigating possible issue through proactive action.
Alternate Business Logic – When there are flaws in your software, your clients will let you know. By fixing your core logic using our platform, we’ll show you a path to creating better products.
Least Cost Routing – It’s all about quality of service. We give a holistic view of your data so that you may reroute traffic in the most cost effective manner possible.
Localized Watchdog – Most predictive maintenance systems can only identify issues at the VM level. If you can’t contact other services, you can’t fix them. We apply our module at the container level allowing a full view into the health of your entire program management.
Data Dictionary/Shared Term Definitions – Our algorithm is a rules & patterns engine that makes assumptions about data, analyzes and finds resolutions
Thought
origination also delves into the intent of an operation from a system and
business logic level vs. the actual outcome.
System Trace – To gain access to our platform, easily integrate to our Data Connector API to pull in system trace files, from your database or API.
Business Logic/Product Road Map – Our platform finds the root cause of issues and makes complex systems easier to use. By working through our decision tree, your organization is able to see how clients use your products. Knowing how to improve support means you know how to improve your product. Proactively identify and fix issues in your offerings so you can build and scale your applications with the right insight.
Supporting
predictive maintenance and thought origination are analytics tools to predict
failure and non-optimal behavior.
Machine Learning (Pattern Recognition) – Explore the construction and study of algorithms that can learn from and make predictions on data
Question Engine – In order to truly identify root cause, analysis must be run to ascertain the behavior origin from a plethora of inference points. The focus is to concentrate on identifying the appropriate question ask.
Simulation – When making assumptions, we don’t always know if they're right. We take the complete support history and logs and simulate the path to fixing support issues.
Operational Data Store – Trace and customer support through a single pain of glass storing all sources of operational data.
Our
integrations are based on the concept of adaptable cloud connectors.
Data Connector API – Integrate data from any source easily by writing to our Data Connector API or we can do it for you.
Customer Support Forums – Our platform can pull data from your customer support forums and attach them to system level issues to deliver the most relevant information for resolving customer issues.
Product Blogs/Industry News Sites – Pull information from popular industry news sites to improve your product and research competitors.
Health Monitoring – Use your own homegrown monitoring system or platforms like New Relic and SilverWinds to pull error codes directly from your database
