Data without Smart Data Analytics is a Recipe for Failure
Digital transformation continues to sweep across industry sectors, supporting the shift from physical to digital assets and fueling the adoption of new data-driven business models. Information and data is literally the driving force behind digital transformation, serving a vital role in providing much needed insight into service delivery, business operations and other KPIs on business performance.
What is Smart Data? How Does it Help?
Successful data-driven businesses strive to improve data quality while reducing data organization and prep time. Read about what smart data is and how it helps.
Quality of Business Insights
One of the biggest problems IT faces is the large volume of unstructured data delivered at high velocity from a variety of disparate sources. This “random” data does not translate into actionable insight, even when used with advanced analytics. In short, business analytics that rely on a dataset that has not been normalized and correlated in the context of service delivery, operations, and business performance, will simply not be effective. The bottom line is that the quality of business insight is contingent upon the use smart data.
Actionable Insights Based on End-through-End Pervasive Visibility
In order to support business and digital transformation initiatives, IT needs business analytics powered by smart data that is well-structured, contextual, available in real time, and based on end-to-end pervasive visibility across the entire enterprise. Since every action and transaction traverses the enterprise through traffic flows, a.k.a. wire-data, it is the best source of information to glean actionable insight from.
Turn Big Data into Smart Data: Empower Better Business Analytics
NETSCOUT’s patented Adaptive Service Intelligence (ASI) technology generates smart data based on software-centric pervasive instrumentation of traffic-flows that are collected and processed at the source – from physical and virtual (SDN/NFV) infrastructure on-premises, software-defined data centers (SDDC), and hybrid cloud environments - to produce service contextual metadata in real time. This allows you to enhance/infuse your big data analytics projects with smart data that can offer critical insights into service delivery, business operations, and other vital business performance indicators.
When Smart Data Meets Superior Analytics
The NETSCOUT nGeniusONE solution offers superior analytics of the smart data generated by ASI. It performs contextual analysis of the smart data and visualization of complex and geographically dispersed service delivery environments. The most challenging aspect of this analysis is to identify the interdependencies across the entire service stack, including applications, networks, compute, service enablers and databases, end-to-end across on-premises and cloud environments.
To accomplish this task, the nGeniusONE platform analyzes smart data generated based on monitoring traffic flows across a large number of physical and virtual interfaces, servers, transactions, applications, protocols, devices, and users. The analysis is then converted into actionable insight with top-down service oriented workflows that guide the user through the triage process of root-cause analysis. With as few as three clicks of a mouse in nGeniusONE, the user can navigate in context from the service dashboard that offers visibility into critical service issues, to the service monitor, that provides the details on load, latency and errors, to the hop-by-hop session analysis. Deep dive packet analysis is optional and used for more complex investigations and forensics analysis.