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Data Science applicable for E-commerce

In today's digital age, eCommerce has become a significant part of our lives. Whether it's ordering groceries or buying clothes online, we all rely on eCommerce to fulfill our needs. However, have you ever wondered how these businesses manage to predict your preferences and recommend products? The answer lies in the power of data science! Yes, you read that right- Data Science is applicable for eCommerce too! In this article, we'll explore what data science is and how it can be used to benefit eCommerce businesses. So buckle up and let's dive into the world of data-driven decision-making in eCommerce!

The Most Efficient Marketing Strategies to Repair Bad Reputation

Reputation is a powerful tool, and every brand that wants to remain relevant will develop a reputation. A brand reputation is an extremely fragile concept. As Warren Buffett said, “It takes 20 years to build a reputation and five minutes to ruin it.” We all make mistakes, and even some of the greatest and most popular brands have had their own share of disasters, with Volkswagen’s cheating on emission tests, as well as the Coca Cola’s MagiCan campaign are just two that come to mind. Despite suffering significant reputational setbacks, these companies managed to put things straight. Of course, this process can be more challenging for smaller brands but with a good strategy, it’s possible to fix your brand reputation.

Business Intelligence and Enterprise Resource Planning

Enterprise resource planning (ERP) is a set of business management applications designed to facilitate the systematic tracking of departmental costs & revenues, inventory and orders, as well as informational flows between departments in order to identify bottlenecks and optimizations that can yield better efficiency and higher profit margins. While ERP systems are great at connecting the dots between business processes to find efficiencies, these days, remaining competitive calls for even more: Real-time data analysis and insights that help organizations make smarter decisions.Business intelligence tools help you quickly analyze your data and identify patterns. The BI solutions focus on the analytics that drives key decisions — so you can more effectively manage your business and make projections for growth.

Case study of Nike- Evaluate the role of CSR.

Nike is one of the popular known brands who manufacture sports and clothing. It manufactures shoes through subcontractors, most of which are located in Asian countries that have large non-employed population and low cost workers. Nike had been steadfast in their commitment to make CSR a priority. The company’s determination was triggered by a steady stream of bad press regarding the environment, labor and other social issues around the world. In 2005 this attitude shifted when Nike began disclosing their CSR activities after a couple of years of silence due to legal concerns. After several audits Nike reported that a large percentage of their overseas factories have their employees working in terrible environments for low pay and in unsanitary health conditions. With Nike planning to reshape the way customers, supplies, investors and regulators see the company. They are changing it from a closed system and making it more open so that suppliers and customers can relate to Nike. One of Nike’s problems is that its leadership and management style has become “leaders beyond borders” meaning leaders reach out to more than just their professional role to engage people on shared goals. By doing this smaller trade flows between some countries will be lost as they strive to meet this goal.