The demand for data analytics in e-commerce is on the rise. Data analytics is a key tool for understanding the behavior of your customers and prospects, allowing you to make data-driven decisions. Data specialists have a promising future in this industry, and companies are clamoring to find talented individuals who can help them better understand their consumers' desires.
The increased use of data analytics will be pivotal for businesses that want to stay competitive in today's marketplace. This blog post will discuss how data analytics can help e-commerce businesses succeed in today's competitive marketplace.
Role of Data Analytics in E-commerce Success
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Data analytics plays an increasing role in e-commerce success. Companies are looking for data analysts with the skills to help them gain a competitive advantage by understanding customer needs, behaviors, and trends within their industry. More specifically, companies rely on data analytics professionals to find:
- Targeted customers that they would not have reached otherwise
- Deep insights into areas such as product development and merchandising
- Actionable information on factors such as click rates or session times across devices (desktop vs. mobile) can be used to improve online conversion rates
In addition, these new positions require individuals who can communicate effectively throughout a company's hierarchy—from senior management down to marketing teams—to ensure all stakeholders have access to the information they need to make informed decisions.
Data is also playing an increasing role in offline commerce. The challenge of understanding customer behavior across channels has led to the increased demand for data analysts with a comprehensive view of all aspects, including brick-and-mortar retail and online sales and promotional efforts.
A growing number of companies are seeking specialists who can collect, cleanse, manage and analyze large amounts of disparate datasets at scale, helping them gain insights about their customers that were previously hidden or difficult to address.
Companies have access to more sources than ever before—from internal company databases such as CRM systems (customer relationship management) and ERP systems (enterprise planning) through social media platforms such as Facebook or Twitter. In addition, companies are finding new ways to interact with their customers and gather data through mobile apps and other interactive tools that enable them to obtain information about customer preferences (e.g., location) in real-time.
What kind of skills are required to succeed as a data specialist?
For a successful data analyst, it is important to have strong analytical skills. You need to ask the right questions and then find and understand relevant information (data). Some of the other qualities that are needed include:
- Ability to work with large datasets
- Attention to details
- Analytical thinking rather than creative thinking
- Ability to identify patterns
- In-depth knowledge of statistical concepts like standard deviation, correlation, and regression analysis.
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This course is developed and taught by industry experts with significant experience in analytics. It includes a range of topics, from basic statistics & probability theory to advanced machine learning techniques. This course will help you move forward in your career!