Modern shoppers are fickle minded and they are not to be blamed solely for being so, as there are several reasons to it. Consumers of today are equipped with loads of technological options which make them shift between different shopping destinations, very often. For today’s consumers, low price and faster product availability is the outlook towards shopping. Wait, but does that anyway mean that ecommerce is disrupting the retail business on a high note...or is it? Consumers prefer to go to physical stores in a shopping mall to buy branded clothes. They get trials and have the opportunity to try various options, they can hand pick products. Numerous sales and discount are offered on digital platforms to lure customers and retailers invest a lot to satisfy customer’s experiences. Gartner forecasts that retail sector technology spending, globally, will reach almost $203.6 billion in 2019. So who is the one leading this race, is a click store choice of consumers or a brick store?

Today, leaders with that ability to determine the value of data processing and data analysis are in demand. Moreover; these 'leaders' even need to have an 'eye' to see and understand how data contributes to the value chain.

Data collection is the first step of market research process, and helps companies to transform massive amount of data into real business insights. Also find 3 market research data management challenges that are changing the industry landscape.

Every single business is required to initiate the process of digitizing their legacy files and new documents, as and when they are received or created. Improved efficiency, accuracy and customer service will give them a competitive edge for futuristic profitable growth.

Data Processing Case Study

Modern-day transportation and logistics industry has been experiencing an unprecedented surge in the volume, velocity and variety of data. Here are some of the areas where data processing creates a significant impact.

Tweet Increasing number of channels and multiple devices are decreasing the opportunities for retailers to build a long-lasting & significant relationship with consumers. Companies struggling to make two ends meet, continue taking decisions by looking back at what went wrong. Instead, leading organizations are using predictive analytics to predict the future-and get it right.