Digital Innovation Report: Google Analytics for E-commerce

This report delves into the realm of digital innovation, specifically examining the application of Google Analytics in the context of e-commerce. It highlights the importance of data collection and analysis for informed decision-making, emphasizing how businesses leverage real-time data to optimize operations and increase return on assets. The report explains the ease of implementing Google Analytics and its automated data collection capabilities. The report also discusses the significance of data security and addresses the use of data in identifying business challenges. The report references the importance of data in today's e-business landscape and provides a foundational understanding of how Google Analytics contributes to digital innovation.

Running Head: DIGITAL INNOVATION
DIGITAL INNOVATION
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DIGITAL INNOVATION
Rationale
Today most of the business are selling their products online with the help of e-commerce websites.
Google Analytics is a free web analytic tool that helps in analyzing data about a website. Google analytics
helps in tracking the digital marketing effectiveness.
A lot of data is collected from a website. The data is very helpful, when it is correctly analyzed. There are
two types of data that a business can collect in Google analytics. The data collected is used in many
aspects. Without data analysis a company would be operating blindly. Data is very important and
company should ensure that the data is secure, to avoid hackers to destroy it (Neale, 2016).
Data collection and analysis of data is an important aspect in every organization. Using data, an
organization is able to make valid decision that will affect the organization operations positively.
Decision making relies on data rather that intuition. Most of the successful company the use real-time
data to make decision and thereby making the right decisions. Data collections using Google analytic
save more time. The only task one task is connecting a website to the Google analytics tool. The
implementation is quite easy and fast (Nektar, 2018). The data collection and analyzing is automated by
the application. Using data in business leads to an increase in return on assets. Extra revenue can be
generated using the existing assets by recording data based on the assets in the field. Data collection
helps to improve asset life time and may increase the usability on the assets. Data collection and
analysis can help in the identification of challenges that a company may be experiencing. Data is very
important asset in every organization. Google Analytics is a new technology today that helps e-business
in many aspects (Marketingplatform.google.com, 2018).

DIGITAL INNOVATION
References
Nektar. (2018). The Importance of Data Collection for Your Business - Nektar. [online] Available at:
https://nektardata.com/the-importance-of-data-collection-for-your-business/ [Accessed 10 Dec. 2018].
Marketingplatform.google.com. (2018). Analytics Tools & Solutions for Your Business – Google Analytics.
[online] Available at: https://marketingplatform.google.com/about/analytics/ [Accessed 10 Dec. 2018].
Neale, J. (2016). Iterative categorization (IC): a systematic technique for analysing qualitative data.
Addiction, 111(6), pp.1096-1106.