Big Data is, as the adjective suggests, is quite large. Businesses are asked to leverage all sorts of data and data types to make decisions and insights on where to move forward. In years past, making sense of Big Data was the purview of engineers and statisticians who spent the better part of a decade studying these patterns and numbers. But, in recent years, software developers have attempted to cut the middle man out. Data analytics is now becoming more accessible to those even if they don’t have a doctorate in computer programming.
More Importance, More Access
Most businesses understand that being able to leverage Big Data is crucial to their continued success. Because the importance of data analytics has risen to record-high levels, decision makers are increasingly looking to use it to their advantage. Without machine learning and analytics software, making sense of the data hasn’t always been easy for those unaffiliated with the concept.
According to Forbes, “Effective marketers must understand data, know how to generate insight from, in some cases, millions of transactions, and be capable of interpreting and using statistical output to create smart strategies and plans.” To make it clearer, you must understand the data you collect if you plan on being successful.
But, data analytics, like most technological advancements before it, is taking a turn toward user-friendliness. Think about the early days of the computer. No one thought that it would be possible for virtually anyone with a few hundred dollars to have a supercomputer in their pockets. But, now it’s a distinct reality. The same goes for data analytics.
The Rise of Data Visualization
One of the reasons that Big Data was reserved for the technological elite is that it was simply too difficult to divine meaning from so many different variables for most people. Data visualization has effectively closed the gap, allowing anyone to make sense of wide swaths of data with ease.
“Visualization now allows everyone to see, understand and especially communicate data clearly in order to make the right business decisions and align the entire company with regards to the target and vision.”, stated CEO Martin Blumenau from datapine, a German software company that provides innovative data visualization and dashboard technology.
Platforms like datapine now allow people to make use of custom graphs, charts, metrics, dashboards and other tools. For instance, if you want to visualize KPIs like gross sales for a product by the location of the sale, you can do this with an easy-to-use drag & drop interface without writing a single line of code.
Real-Time Analytics, Faster Insights
Instead of waiting months for a comprehensive visualization created by an engineering team, decision makers can simply look at real-time data displaying rapidly constructed visualizations. Users don’t even have to be at the office anymore to see updates to their dashboards via the cloud. Indeed, data analysis in the cloud allows information to be disseminated in the office, at home, and on mobile devices.
The ability to collect data isn’t new and even the ability to analyze it is old hat. But, the fact that anyone can now synthesize data and create visualizations that help them make insights is truly astounding. As machine learning and data analytics software progresses, it will only be a matter of time before the difficulties involved with data analysis are long gone.