We are living in a world where retailers are transforming their business models towards a paradise of service and personalization to gain competitive advantage with less loyal customers. It is a world where customers can order a product online and have it at home in less than 30 minutes. Tonnes of plastic and cardboard waste generated by this delivery whirlwind are a result of these forces. According to the World Bank, the apparel segment makes up 10% of humanity’s carbon emissions. Fast fashion has increased clothes “consumption” by making fashion accessible to the masses and increasing the demand for new garments to an unsustainable extreme. It takes about 7,500 liters of water to produce a single pair of jeans, which is equivalent to one person’s drinking water for seven years. Impressive figures when we look at the various jeans in our wardrobes.Read More
Posts about Retail
To make money from data requires insightful data.
Data monetization is generally understood as the “process of using data to obtain quantifiable economic benefit” (Gartner Glossary, Data Monetization). Three typical ways to achieve this, include:
- Using data to make better decisions and thus enhance your business performance
- Sharing data with business partners for mutual benefit
- Selling data as a product or service
Whichever way you choose, data monetization gets more profitable if you can provide context to the data and make it insightful. The more insight your data provides, the more valuable it is. Take as an example a person about whom you know the job title. That is basic master data. Adding to that information the insight that the person has recently changed jobs, can open new business opportunities or guide your marketing efforts to be more targeted. Perhaps the job change entails a salary increase, a change of location, new business connections, etc.
In this article, you will find some data monetization examples and use cases and learn how master data management, specifically multidomain master data management can help provide data insight.
In short, master data management (MDM) can help build insights by adding context to information and creating 360° views of customers and businesses. Multidomain MDM is characterized by common governance of different data domains, thus revealing enhanced insights at the intersections of those domains.
Grocery is one of the retail sub channels that is poised to gain most from digital transformation.
The COVID-19 pandemic has permanently changed how we shop for groceries. Online grocers and fresh food delivery services are experiencing a rise in demand that can be hard to manage for those who are lagging digitally. Consumers expect expediency, transparency, and a seamless digital experience.Read More