Businesses in all realms are recognizing the importance of their data sources in this digital revolution. Within a litany of information, trends can be discovered that can lead to game-changing decisions that save a company money, while enjoying greater profit. This is all starts with data exploration and diving headfirst into the data sets at your disposal. Let’s take a closer look at this crucial entry point into data analysis and what certain exploration tools can do for an organization in any sector of any size.
What is data exploration?
Data exploration is the first step of data analysis that is used to explore and visualize information from all sources to uncover insights from the start. It also can help businesses identify areas or patterns to dig into more. With the help of data exploration tools like interactive dashboards, users are able to understand the bigger picture in any analytic platform. Exploration helps users make better decisions on where to dig deeper and take a broad understanding of data with the help of business intelligence for the beginning of what could be a potential data transformation.
Data exploration and visual analytics tools build understanding, empowering users to explore information. This approach speeds up the time to answers and deepens user understanding by covering more ground in less time. Data exploration is important for this reason in data analysis software. It democratizes access to this information by providing governed self-service analytics. Business users can accelerate data exploration by provisioning and delivering data through visual dashboards that are easy to explore and a popular tool to use.
Tools and Data Visualization
Data exploration allows programmers and end users alike to get a quicker and more efficient look into predictive analytics, better understanding patterns in large amounts of data. Visual analytics is a form of reasoning that relies on these interfaces for helping to ask important questions within a data science platform. The best tools help answer questions regarding problems and hurdles, or insights into what may motivate, say, a customer base. Users can quickly build different views of visualizations in the data to get their answer, beyond the useful constraints of a database.
Data exploration delves into the way, whereas data visualization gets into the why of trends and patterns in large volumes of data. By combining visualization and data analysis, companies are able to grasp relevant information to make complex issues easier to understand, along with complex statistical algorithms. Both data scientists and business users can find visual data pipelines useful. The interactive and visual elements are often helpful in communicating what one sees in data visualization software for informed business decisions.
Data Exploration Use Cases
In recent years, data exploration can help businesses explore large amounts of data from all of the different sources at their disposal. This allows for further analysis, using machine learning tools for the greater benefits of the business. This gives a manageable starting point and a way to target areas of interest. In most cases, data exploration involves using available tools to examine data at a high level. By taking this approach, companies can determine which business data is most important and which may distort analysis. Data exploration can also be helpful in decreasing time spent on less valuable analysis.
This can be used in the manufacturing sector to discover any hurdles in the supply chain that may be causing downtime, inhibiting workflows in production. Within the marketing realm, interactive data analysis can monitor which sales are working for a retailer through the traffic brought on by certain advertisements. Education, construction, and even politics are finding greater use in data visualization tools to spot anomalies never seen before, and discovering even more diverse data sources.
Lydia is Pearl Lemon Group’s Operations Director. She has been with Pearl Lemon since May of 2019. She started as a student getting more practical experience and academic credit. From there she moved up in the company to a full time team member. She has watched PLG grow from a handful of people to a team more than 4x bigger. Outside of PLG she is a mom of two, a certified beer server, doula and florist