Regardless of all the change and pivots associated with business today, one thing remains constant. C-level executives have to make difficult decisions so that businesses can sustain and grow. So much hinges on the outcome of those choices and C-Level execs are judged by their problem-solving and visionary judgments. The risk vs. reward principle enters daily into strategic decisions but it is possible to minimize risk when the right tools are available for analysis.
The key words here are “the right tools.” There are hundreds of analytics and decisioning tools available but possibly the first decision to make is choosing the appropriate one. Many senior managers simply rely on what is familiar to them and then somehow expect the results to be radically different or provide innovative insight. When it comes to making decisions that will determine the fate of a business, there is one resource that can provide incomparable insight: (preferably an AI-powered) log analysis.
Making sense of unstructured data
Executives need real-time information to make real world decisions and benefit from the massive amount of raw data available from logs. Data from infrastructure, applications, security and IoT areas can provide insight into CRM, marketing, ERP and other initiatives for the business. Bringing the appropriate information together provides an environment that predicts and correlates problems in all enterprise applications to allow for real-time resolution. Machine data is the center of insight for companies, especially when it comes to customer engagement, optimized applications and adding innovative features regularly. With log analysis, executives no longer need to rely on unsubstantiated information or raw data so that they can make better informed decisions.
Better decision making from actionable and relevant data
Monitoring data, of course, is critical to a business but it’s not enough that IT execs simply review it without formulating it in a way that provides real insight. Execs can make better informed decisions if they have real-time and historical data gleaned from logs to support their situation analysis. Take CRM systems as an example. The customer information collected can be used to develop customized marketing messages and promotions. The CRM system data can also be used in application support to capitalize on the documentation of customer issues for resolution and future development.
These insights from real-time data streams provide the information that leaders want, when they want it, making log monitoring a critical component in decision making for the company both today and in the future.
Ignoring logs data increases missed business opportunities
In today’s digital economy, business moves fast and customers move even faster. Customers are in control and they tell companies how they want to communicate with them, what they’re interested in and how often they prefer to engage. Businesses that fail to understand and act on this digital dynamic will also fail in capitalizing on business opportunities. Customer data is plentiful in business logs and savvy execs will take advantage of this wealth of information to grow their companies in both short- and long-term initiatives.
Businesses today need every tool at their disposal in order to stay competitive in the digital economy. The Loom logs monitoring platform provides greater visibility into their systems and the value they’re creating, essentially adding more insight into their business intelligence efforts. When leaders have this scope of intelligence available to them, they gain competitive advantages that will help them manage today and take a more confident position in strategic initiatives for the future.
KPIs that lead to proactive problem management
Clearly, corporate executives need to exercise their visionary chops in order to guarantee the growth of the business. However, there are always challenges on the road to the future that must be addressed on a daily basis in order to not only head off problems but also take advantage of growth opportunities. Log monitoring presents data and patterns of information that can help deter challenges by illuminating visibility into the business. KPIs from organizations within the enterprise such as sales, marketing and finance provide critical guideposts for the business. When execs have log data, KPIs are determined quicker and easier, allowing for clear decisions because there is visibility into every event related to the business, not just the ones predicted to be the most critical. Problem resolution can then proceed based on facts, not suppositions, and the business will be healthier today and tomorrow.
Logs are obviously critical decisions tools for any enterprise, not only for their real-time analysis options but also because they never stop. The very nature of logs means that the data flows in an unending stream. Customer and operations information is there for the taking. All it needs is smart analysis from log monitoring to turn it into gold. This asset is invaluable to those who choose to take advantage of what it offers for business operations, planning and strategic initiatives.
Loom Systems delivers an AIOps-powered log analytics solution, Sophie,
to predict and prevent problems in the digital business. Loom collects logs and metrics from the entire IT stack, continually monitors them, and gives a heads-up when something is likely to deviate from the norm. When it does, Loom sends out an alert and
recommended resolution so DevOps and IT managers can proactively attend to the issue before anything goes down.
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