Big Data Visualization

Big Data Visualization

Big data visualization is a way for us to get a presentation of our data in a pictorial or graphical format. For centuries humans have depended on visual representations like charts and maps to understand information more easily and quickly. As our business continually collects more data it gets harder for us to interpret any analytical results. By using different types of software to help us visualize our data we can predict trends and spikes in customer demand. We can predict which stores would make the most out of new products based on the data that we have stored on customer habits. We could even predict inventory levels at the various stores which would enable us to stay ahead of any shortages of a particular product. Some of the advantages and disadvantages are:

Advantages

• ·         Makes big data comprehensible

• ·         Predicts trends

• ·         Visualizations can give us more insight into the nature of a problem and discover new understanding.

Disadvantages

• ·         They can be potentially misleading if someone doesn’t understand the context

• ·         There can be multiple implicit meanings which are inherent in visualizations and can be interpreted differently

Since everyone can understand visualizations better than they can large data sets, this technology will only serve to enhance our understanding of the data that is affecting our business. My recommendation would be to implement this technology in order to give us the insight that will allow to stay as leaders in our industry.