Create an animated Keyword ranking report using your Search Console data to show performance over time in 90 seconds.
Companies use predictive and business analytics to gain an advantage over their competitors and claim a bigger share of the market. But with the accelerated proliferation of data volume, speed and variety, establishing a system to make sense of this data is posing ever-increasing challenges. Several data solutions - from databases to data lakes - have emerged to empower companies of all sizes to take over their data and use it to accelerate growth.
The Oil and Gas industry is arguably more familiar with managing an array of changing risk factors than almost any other sector in the United States. The industry is used to facing strong headwinds and has proven itself adept at adjusting to often rapidly shifting business conditions, whether that is regulatory change, big fluctuations in supply and demand, or evolving security supply chain concerns.
Revenue monitoring not only involves monitoring huge amounts of data in real-time but also finding correlations between thousands, if not millions, of customer experience and other metrics. Are traditional monitoring methods capable of detecting a correlation between a drop in user log-ins and a drop in revenue as it’s happening? For many reasons, the answer is no.
From dealing with security concerns to production monitoring, businesses need to analyze the log data of their systems to ensure everything is functioning normally. In a computing context, a log refers to automatically produced and time-stamped documentation of events related to a particular system. Analysis of log data helps businesses comply with regulations, security policies and audits, understand online consumer behavior, and comprehend system troubleshoots.
