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[vc_row][vc_column][vc_column_text]The disruption caused by IT outages can be extensive—ranging from financial losses to reputation damage and interference with effective IT operations. While there are no silver bullets, leading IT organizations are increasingly turning to big data analytics to help prevent these outages.
In today’s ever-changing IT datacenters, relaying on manual enforcement of configuration compliance across a broad spectrum of IT domains is an invitation for a disaster. IT organizations simply cannot keep up with the complexity and pace of change without a fully automated system to cross-check teams and rapidly changing infrastructures.
Analytics solutions are used in a wide variety of fields and industries, but the ultimate goal is providing valuable insights from all that data to make sensible future-oriented decisions. When it comes to IT operations, arguably the most valuable application of analytics lies in its predictive abilities. IT operations can leverage opportunities and obviate risks for smoother and more efficient organizational operations.
Once an outage has taken place, the damage has already been done. That’s why it’s so important to recognize and alert on anomalies and patterns – so remedial actions can be taken before actual business impact. The first step to implementing a predictive approach would be to perform automated daily scans of your IT operations.
But what should you do with those terabytes of data that are collected on a daily basis? This is where IT operations analytics come into play. A good analytics solution processes all that data so that you, the IT executive, get valuable information and insight rather than spending endless time and resources searching for the discrepancies and vulnerabilities.
By proactively engaging your IT infrastructure vis-à-vis pattern recognition for potential vulnerabilities, you can avoid the cataclysm caused by IT outages. Head off IT outages at the pass – don’t wait for them to sink their fangs into your IT operation.
By leveraging your IT operations analytics, you can allocate resources to counter varying degrees of threats. The effects of various types of risks must be weighed against the resources required to neutralize them. Clearly a manual solution to every possible risk is out of the question. That’s where predictive analytics play their part. Once you’re able to transform your IT insights into actionable responses, you’re in a very good position to make smart decisions to minimize risk.
The measures discussed above are effective means of countering daily outages and the associated disruptions they generate. However, on a macro level the measurement of global KPIs is key. By focusing on risk trends, emerging risks and systems that create the most availability risks, you can coordinate corrective actions. KPIs also reveal which best practices are often violated.
Viewed in perspective, IT analytics are roundly praised by IT professionals as the best means for attaining operational excellence. A large number of organizations allude to leveraging their IT operations for maximum operational effectiveness. And lastly, organizations tracking configuration consistency on a daily basis are more likely to exceed their tactical and strategic objectives.[/vc_column_text][vc_raw_html]