lavinaagarwal

Currently a Marketing summer intern at ValueFirst Digital Media Pvt. Ltd ...

Full Bio 
Follow on

Currently a Marketing summer intern at ValueFirst Digital Media Pvt. Ltd

Machine Learning Algorithm For Neural Networks
1016 days ago

Analyzing data with google Analytics
1016 days ago

Google Analytics: Data Tracking
1016 days ago

Artificial Intelligence, a disruptive technology
1018 days ago

Some amazingly terrifying statements about AI
1018 days ago

Natural Language Processing, giving companies an upperhand
29061 views

All about robotics in Automation
25740 views

A take on Deep Learning
22611 views

Artificial Intelligence, everywhere and making its way into the corporate world
19305 views

Food Tech And The Latest Developments
19161 views

Data analysis usage in business operations and promotions

By lavinaagarwal |Email | May 10, 2018 | 11616 Views

Collecting and analyzing data can offer many benefits to online businesses. To take advantage of these benefits, it s important to first understand the types of data available to you as well as the best way to gather it. The differences between quantitative and qualitative data, how online data can be used to complement your offline business approach, common ways to collect data. 

The data cycle is an effective process to help one make the most of data when running her campaign.
The four main stages of a data cycle are as follows:
  • Plan: Start by identifying the goals of the campaign
  • Do: Then, begin collecting the relevant data
  • Check: Once you have that, review your data
  • Act: Lastly, take action to test the hypothesis

The correct graph clearly show a high open rate at the outset, which slowly drops off throughout the year. Graphs are a great way to quickly notice trends in your data.
The bar graph is the correct choice in this scenario. It clearly shows each year s data, and the growth experienced year to year.

Pie charts are better for illustrating percentages, rather than growth or trends.
The heat map can show location data, as well as increased demand for parking. However, the location data might not be useful to the investors, and it is harder to clearly see the year on year increase in this format.
The table may have too much data to be clear and concise.

Source: HOB