Zipcode Explorer
Various projects have shown that many organizations need insight into their demographic customer distribution, in other words an answer to the question “Where do my customers come from?”. The Zipcode Explorer tool has been developed for this purpose. It plots a map and places a dot to show from which city or zipcode the customers come from. By using this tool, for example, marketing can take place in a more targeted manner.
Footprint tool
Do you want to know how fast your website is? Or what similar websites are? With the Footprint tool you immediately get an overview of your website. This contains information about your social media accounts, contact information, most important keywords of your website, a short summary of the content, comparable websites and the loading speed. This allows you, for example, to compare your website with competitor websites.
Datasources checklist
A data sources checklist has been developed to check the quality of your data sources. With this, the available data sources are mapped, but also described which are relevant within the organization by using the 4 Vs of Big Data. For each data source, questions are asked such as “Is it an open data source?”, “Is it sensitive data from a privacy perspective?”, “How was this data collected?”. By providing the answers to these questions, you can think in advance whether you will run into problems with a data science project.
Data Structure Guide
Before we move on to making cool predictions, it’s important to know if the data is suited for this analysis. The data structure manual explains how a company can best check whether the data is collected correctly. It is important here that the data is consitent an accurate. For example, you can write down a telephone number in several ways 0612345678, +31612345678, 06-12345678. In all cases the same is meant, but notated differently. For further analysis it is important that the data is clean and structured.