Argsystems LLC. develops solutions allowing your organization to store and analyze data on a massive scale using technology deployed at large successful web 2.0 internet companies.
Hadoop; Web 2.0 solution for data-intensive applications
The Hadoop Distributed File System allows large groups of commodity computers to aggregate data storage capacity together.The Map/Reduce framework integrated with Hadoop offers a simplified programming model for processing very large amount of stored data. This approach offers scalability since storage and processing performance is increased by adding more computers. With an open source license, Hadoop/Mapreduce together with low cost computers allow organizations to query very large data sets from various angles therefore solving a wider array of business problems than previously possibles.
Strategic Benefits:
1.In the age of escalating need for data storage capacity ,enterprise computing can benefit tremendously from the scalable data storage platform presented by the Hadoop Distributed File System:achieving fault-tolerant storage of data from groups of low cost commodity systems equipped with disks.
2.Conducting advanced data analysis, queries and processing on very large data set can produce tremendous gains for organizations whose value has grown commensurate with their ability to learn form internal and/or external data. In essence Map/Reduce brings high performance computing clusters technology inherited from large web companies conducting advanced search engine computations using clusters of commodity computers.
Optimization, Alignment & Innovation
With business performance in mind, advanced real-time analytics of an organization’s technology operation can provide insight to business planners. Functional ,organizational, and operational unit’s of an entity rely increasingly on IT to perform their mission. The need for metrics that reliably assess the actual performance of such systems with regard to fulfilling their business mission becomes critical. Effective monitoring and planning tools that allow real-time reporting and analysis of performance as measured against established parameters, goals, metrics and KPIs have strategic impact. Business benefits can be immediately evaluated while corrective action can be sought from system re-configuration or even complete process re-engineering.
Our technology leverages on the Hadoop-Map/reduce programing model and complementary open source supporting technology stack to integrate data with existing enterprise management performance systems.
Planning for business performance management
Performance metrics and key performance indicators are established for measuring the goals as pre-defined during systems acquisition planning. Systems used while conducting business (transactional systems and support systems) generate voluminous amount of data that can be processed and mapped against a optimal values represented by metrics KPIs. Extracting real business value from mining data collected across highly distributed disparate systems also presents real time constraints that can affect the validity of the data model. The Hadoop Distributed File System and Map/Reduce bring low cost technology that can leverages on existing servers infrastructure for near real time data mining. Achieving business goals while making optimal use of technology is the main driver behind business performance management systems. Monitoring activities can be segmented across functional units to help managers understand performance problems such as inefficiencies or excess capacity. Business analysts and enterprise architects will document poorly operating processes while architect can pinpoint structural flaws.
Business intelligence activities:
-Business process monitoring
-key performance indicators
-fraud detection
-operational systems performance
-risk monitoring
-transaction monitoring
-IT security monitoring
Business Intelligence for strategic view by area of management:
-enterprise management
-business service management
-human capital management
-compliance management
Argsystems LLC can help you find out how a open source stack for deep data analytics can extract actionable business from your infrastructure.
