With significant increase in online sales and more customers opting to purchase through mobile devices, high street retailers are facing difficult times. No wonder it is time to elevate shopping experience to a whole new level. Though Retails Analytics is not a new concept, the approach faces challenges in brick-and-mortar stores. Investing in real-time Wi-Fi analytics, where modern in-store analytics technologies can integrate with existing in-store Wi-Fi infrastructure to capture precise and real-time customer behaviour in stores, can be a solution. Creating an inclusive shopping experience that effectively combines the online and offline experience is the need of the hour. Read More at: http://www.fourthsource.com/mobile/future-analytics-retail-19148

The Retail industry is very competitive. Retailers need to apply analytics to analyze consumer behavior and retain them. Predictive Analytics help retailers to predict the response of customers regarding new offer, discount or product. But barrier of culture and stage fright, stop them to apply big data analytics.

Leslie Dinham (Teredata) in her article "two ways retailers are overcoming barriers to analytics adoption," talks about solutions to these barriers or adoption blockers. They are:

Barrier 1# Culture is the culprit: Employees get rigid due to working in the same culture, performing same job or duties. They don’t want to change their decision making process and roles. It becomes difficult to apply data analytics in this culture. The solution to this problem could be informing employee about the benefits of using data analytics and provide necessary training.

Barrier 2# Stage Fright: Many times, retailers won’t get success while applying analytics in their organization because they won’t able to choose the right team, tool or technology, won’t able to integrate new analytical capabilities into operations or the culture of the organization is not innovative. Paying attention while applying analytics in these things can help organizations to successfully apply analytics.

To know more about these barriers and solution to them, read an article at: http://www.forbes.com/sites/teradata/2015/05/13/two-ways-retailers-are-overcoming-barriers-to-analytics-adoption/

In today's present scenario, retailers are facing threat from online stores. There is a fall in profit percentage. But to deal with this, retailers are increasing their customer's database as they can apply analytics on the data, predict and track customer behavior.

 In this context, the Future group's plan is to increase the database of customers so that they can fight ecommerce companies.

According to Punit Soni (CPO at online marketplace Flipkart), “Capturing a huge swath of pricing and things of the largest economies of the world, and becoming the default marketplace is not easily doable for offline players”.

To know more about Future Group strategy and analytics in retail, read an article link “Future Group banking on analytics to battle e-commerce companies” by Jayadevan PK (ET Bureau): http://articles.economictimes.indiatimes.com/2015-05-08/news/61947503_1_rakesh-biyani-future-group-data-analytics

Analytics is seen as a ladder to succeed in today’s world. It reminds everyone of the benefits that one can achieve with its application in business. But is analytics always useful? What people chose to ignore is its downside. In retail sector, although analytics helps to predict demand, but it also helps to predict the employees required to meet the demand. This in turn, leads to less stable work hours for part time workforce. To reduce the harm to real people, retail analytics should be used in a responsible manner.

To know more, read the following Forbes article:

http://www.forbes.com/sites/sap/2015/04/15/abusing-the-power-of-retail-analytics/

Retailers are using analytical tools in order to drive sales. Organizations use tools such as pricing and assortment optimization, location analytics, and customer-driven marketing. Still, many retailers are puzzled to prioritize their analytical approaches. Some companies are astounded by the large number of options they have, while others find it difficult to manage data provided by various point-of-sale systems, websites and other internal transaction processes. Another reason is a lack of skilled analysts which hampers progress. Thomas H. Davenport (Distinguished Professor of Information Technology and Management at Babson College in Massachusetts), writes in his article about the strategies and approaches organizations must follow while choosing their analytical tools. To know more, follow: http://www.teradatamagazine.com/v09n04/Viewpoints/The-potential-of-retail-analytics/