Data exploration is the very first step in the data analysis process. It all begins with exploring a large set of unstructured data while looking for patterns, characteristics, or points of interest. Summarizing the size, accuracy and initial patterns in the data is key to enabling deeper analysis. The purpose…
Being a data-driven business is important, but what does that mean exactly? Data-driven businesses make decisions based on data, which means they can be more confident that their actions will bring success since there is data to support them. So what is data analysis? In simple words, data analysis is…
The luxury retail market is thriving. To provide a better customer experience and be competitive, this online luxury retailer used Import.io to create a comprehensive product catalog with real time product data and pricing. By collecting data from thousands of global sites this luxury retailer can understand the attributes of…
When external data has been aggregated from multiple sources, you have to standardize the data before you can analyze it. Here at Import.io we understand the importance of this step, which is why it is built-in to our Web Data Integration solution. But before we get into that, let’s cover…
Heading to the Web Data Extraction Summit on September 17th in Dublin? Find out how you can maximize the value of web data by attending a session from our Founder and Chief Data Officer, Andrew Fogg. Through real world customer case studies, this session will discuss how global companies from…
You know that the best data about your customers, your competitors and your market exists outside of your organization, out there, on the web. You know how valuable this web data is to your business, but the data on the web is not structured or organized to be read by…
Download the Dynamic Pricing Case Study “It is mission critical for us to be able to understand market prices in real time and have access to updated global product data – and we wouldn’t be able to do it without Import.io.” – Chief Technology Officer THE CHALLENGE With no…
What is Data Munging? Data munging, also known as data wrangling, is the data preparation process of manually transforming and cleansing large data sets. This process is typically performed manually using spreadsheets or scripts to filter out unwanted data and create a more relevant, digestible output. The problem with this…
When you think about the future of the business world, what comes to mind? Chances are, you may think of artificial intelligence running much of the busy work that companies have. It’s a concept that’s not too far off, but it may be machine learning which dominates the business landscape…
In the ongoing effort to properly collect and utilize data, operations can quickly become complex. This is especially so in the financial industry, where big data holds tremendous potential but also leads to common pitfalls. To effectively use big data, many financial institutions are turning to data warehouses, while others…
