IT Data is a valuable commodity in business. But the enormous amount of data collected and processed each day coming from multiple sources is extremely challenging without using the right tool which can help analyze and make sense out of it.
In 2018, around 77% of enterprises have at least one, or a portion of their computing infrastructure in the cloud. Hence, the role of data has significantly transformed to a point where crucial decisions are often based on the result of data analysis.
In a way, data analytics is the method by which data is optimized and transformed into essential information. Many organizations today focus on investing heavily to leverage further the benefits of IT data analytics.
IT optimization and data analysis automation
One aspect of IT data analysis that is of significant importance is log data. One example of a tool used in log data analysis is a log viewer which gives IT personnel an enhanced view of logs from several sources, discover anomalies, and act fast.
With data analytics becoming more critical for every organization, it is only natural that IT processes are optimized. At its core, IT is instrumental in various areas of operation, and log analysis is a critical aspect which is further enhanced with log automation and analysis tools.
With IT data analysis automation, an organization can ensure that all IT resources are running actively and any proprietary information is not exposed to a security breach. Lastly, optimization and automation of IT processes will also maximize available resources.
Optimizing IT processes today is valuable in IT department operation. Innovation such as cloud computing (I’m not sure I understand the connection to cloud computing but maybe it’s just me? If you understand it then let’s leave it as is), AI, and machine learning, up to a certain extent help IT admins identify and detect risks, possible errors, and sources of problems without negatively impacting critical business processes.
Automation through IT log analysis tools also reduce the amount of work IT admins need to do daily by enhancing visualization through different log analysis, pre-defined dashboards, and reports (search for a tool that offers an extensive log analysis apps marketplace). Therefore, crucial decisions and solutions can be made faster.
How does an organization achieve IT process optimization?
In a nutshell, IT process optimization refers to practices that will result in a proactive approach to identifying and meeting all the informational and technological needs of an organization. The primary goal here is to create the most value out of each process.
To achieve IT process optimization:
- Available resources and technology need to be assessed
- Shortcomings, weaknesses, and opportunities need to be identified
- Come up with changes that will lead to optimization. For example, automating data analysis using a suite of tools.
- Continuously monitor results and make changes that will further lead to IT process optimization
- Find feasible ways to minimize the occurrence of incidents
IT processes remain integral to the function of a modern organization. In addition to an enhanced model, the amount of data collected by the IT department also needs to be analyzed using an automated system which will integrate information coming from multiple sources and produce a unified overview of what’s going on in their environment, to allow a simple way to the admin to understand how he can improve and optimize IT and organizational needs.
IT tools used in data analytics need to be reliable, robust and support automation. For example, there are predictive tools that can make use of historical data to prevent incidents. With automated tools, IT departments can function optimally and maximize the use of data in solving problems as well as helping the organization achieve its goals.