Many modern businesses are essentially drowning in a sea of data. The explosive growth in the sheer volume of information which an organization must assimilate can be overwhelming for traditional data mining techniques to negotiate successfully. New data streams from Internet of Things (IoT) devices and big data sources are rich with raw information that if used correctly, can give a company a huge competitive advantage or lead to ground-breaking innovation. Data analytics is a method that can help an enterprise make sense of its data and unlock the value hidden in the daily flood of numbers and images.
What is Data Analytics?
In simple terms, data analytics is the practice of analyzing raw data to provide insights and conclusions about the collected information. Its primary goal is to uncover metrics or hidden trends that are not easily obtainable due to the quantity of data under consideration. Organizations make use of sophisticated algorithms and processes to perform data analytics in efforts to improve their internal and external processes and develop innovative products and services.
A viable data analytics initiative is only as good as the raw materials it processes. To that end, there are several steps required to prepare the data for analysis. They are:
Once the data has undergone this preparatory process it is ready to be used for data analytics by the appropriate software tools.
How Businesses Use Data Analytics
Data analytics is not a singular process. There are four main categories of data analytics that a business can use for different reasons.
Data Analytics in Action
There are many examples of businesses benefiting from insight into their products, processes or customers through data analytics. Here are two notable instances of data analytics in action.
Data analytics are behind many of the decisions made by business leaders every day. To remain competitive, an organization needs to use analytics to make the best use of their data.
Tools for Data Analytics
Aqua Data Studio (ADS) is a flexible and versatile database tool that offers a platform for performing visual analytics on the data contained in a wide variety of databases. Microsoft SQL Server, MySQL, Oracle, Sybase, and Amazon Redshift are just some of the platforms supported by Aqua Data Studio. It can be run on Windows, Linux or macOS computers.
One of the strengths of ADS is its ability to perform visual analytics to make it easier to understand what your data has to tell you. Easily create custom dashboards that present your data in compelling ways. You can also use the data management features of ADS to scrub and sanitize your data prior to analysis. If you use databases to store information that can be used for analytics, Aqua Data Studio is a tool that deserves your serious consideration as a way to unleash the real value of your company’s data resources.