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Data analysis best practices
Data analysis best practices




The World Economic Forum predicts that by 2020, data analytics will become the most sought-after job worldwide.

data analysis best practices data analysis best practices

Skilled data analysts find takers across industry verticals, from media to sports, fashion to gaming, transportation, retail, and manufacturing. Interestingly, the demand is not just limited to start-ups and IT giants. The growing adoption of data analytics is driving the demand for analytics professionals to a record high. Another study conducted by Tag Innovation School reveals that over 50 percent of 550 small and medium-sized enterprises surveyed expressed an interest in hiring data analysts. Rather, it is increasingly gaining ground as one of the most crucial elements in optimizing the core business processes.Īccording to the survey, a whopping 97.44 percent of 347 companies believe that big data analytics is key to improving their organizational performance. Today, big data analysis is no longer a subsidiary aspect for strategizing operational plans. These days, most companies have access to vast datasets, but merely having massive amounts of data doesn't add much value to the business unless enterprises analyze the information available and drive organizational growth.įortunately, the advent of powerful computer systems and innovative analytical technologies are enabling more and more businesses to analyze data effectively, empowering them to extract actionable insights from diverse data points.

data analysis best practices

In this digital age, organizations of all sizes realize that data can play a vital role in improving their efficiency, productivity, and decision-making capabilities, leading to increased sales, revenue, and profits. Increased user activity on the internet, sophisticated tools to monitor web traffic, the proliferation of smartphones, internet-enabled devices, and IoT sensors are the primary factors accelerating the rate of data generation in today's world.






Data analysis best practices