Enterprises collect an unprecedented volume of data about their consumers, sales, and products. In most scenarios, these rows of information move very fast, are too big, or they surpass the processing capacity of the existing technology applications in the organization. But with big data and business intelligence, enterprises get to enhance operations, their profit margins, and also make quicker, more brilliant business decisions.
The retail market has been trading on its gut instinct for years. But now, they’re recognizing the importance of capturing data around their strategic business activities. The ability of businesses to back their decisions up with evidence of things that might work is essential.
BI and Big Data analytics have revolutionized a myriad of industries, with the retail sector being the biggest beneficiary. Big players like Walmart and Amazon leverage BI and Big data analytics to enhance their retail performance. However, these benefits aren’t limited to full-blown companies alone: medium and small businesses can also realize great value in integrating the systems into their operations.
The advantage that comes with the ability to process significant volumes of data is the main attraction of business intelligence and big data analytics.
Here’s how enterprises can turn BI and big data into a business advantage.
In retail business – supermarkets, department stores, and e-tailers – transaction histories and sales receipts can produce incredible volumes of data depending on the business size. These rows of information present a massive opportunity for businesses to analyze their sales. However, valuable insights are not based on volume alone.
Integrating a successful business intelligence solution can assist retail organizations to pull out essential information from a chunk of data, by addressing the question at hand. It gives definite answers to questions like how much of a product is being sold and the type of client that’s buying the product as well as the store or outlet that sold the product, and the specific time.
These are critical answers that retail businesses need to improve their decision-making process. The trends in the data showcase the strengths, weakness, and opportunities for the company. For instance, one can know when they make the most sales and the time. This way, they ensure that that particular store has enough commodities to meet the demands.
