The 12 Days of Shopping

According to IBM’s real-time reporting unit, Black Friday online sales were up close to 20% this year over the same period in 2012.  As for Cyber Monday, sales increased 30.3% in 2012 compared to the previous year and is expected to grow another 15% in 2013. Mobile transactions are at an all time high and combined with in store sales, The National Retail Federation expects retail sales to pass the $600 billion mark during the last two months of the year alone. While that might sound like music to a retailer’s ears, as the holiday shopping season goes into full swing on this Cyber Monday, the pressure to handle the astronomical influx of data collected at dozens of possible transaction points is mounting. From websites and storefronts to kiosks and catalogues, every scarf or video game purchased this season brings with it a variety of data points that must be appropriately stored, linked, referenced and hopefully leveraged. Add to that a blinding amount of big data now being collected (such as social media activity or mobile tracking), and it all amounts to a holiday nightmare for the IT and data analysis teams. So how much data are we talking and how does it actually manifest itself? In the spirit of keeping things light, we offer you, The 12 Days of Shopping…

On the first day of shopping my data gave to me,
1 million duplicate names.

On the second day of shopping my data gave to me,
2 million transactions, and
1 million duplicate names.

On the third day of shopping my data gave to me,
30,000 credit apps,
2 million transactions, and
1 million duplicate names.

On the fourth day of shopping my data gave to me,
40 returned shipments,
30,000 credit apps,
2 million transactions, and
1 million duplicate names.

On the fifth day of shopping my data gave to me,
5 new marketing lists,
40 returned shipments,
30,000 credit apps,
2 million transactions, and
1 million duplicate names.

On the sixth day of shopping my data gave to me,
6,000 bad addresses,
5 new marketing lists,
40 returned shipments,
30,000 credit apps,
2 million transactions, and
1 million duplicate names.

On the seventh day of shopping my data gave to me,
7,000 refunds,
6,000 bad addresses,
5 new marketing lists,
40 returned shipments,
30,000 credit apps,
2 million transactions, and
1 million duplicate names.

On the eighth day of shopping my data gave to me,
8,000 new logins,
7,000 refunds,
6,000 bad addresses,
5 new marketing lists,
40 returned shipments,
30,000 credit apps,
2 million transactions, and
1 million duplicate names.

On the ninth day of shopping my data gave to me,
90,000 emails,
8,000 new logins,
7,000 refunds,
6,000 bad addresses,
5 new marketing lists,
40 returned shipments,
30,000 credit apps,
2 million transactions, and
1 million duplicate names.

On the tenth day of shopping my data gave to me,
10,000 tweets,
90,000 emails,
8,000 new logins,
7,000 refunds,
6,000 bad addresses,
5 new marketing lists,
40 returned shipments,
30,000 credit apps,
2 million transactions, and
1 million duplicate names.

On the eleventh day of shopping my data gave to me,
11 new campaigns,
10,000 tweets,
90,000 emails,
8,000 new logins,
7,000 refunds,
6,000 bad addresses,
5 new marketing lists,
40 returned shipments,
30,000 credit apps,
2 million transactions, and
1 million duplicate names.

On the twelfth day of shopping my data gave to me,
12 fraud alerts,
11 new campaigns,
10,000 tweets,
90,000 emails,
8,000 new logins,
7,000 refunds,
6,000 bad addresses,
5 new marketing lists,
40 returned shipments,
30,000 credit apps,
2 million transactions, and
1 million duplicate names.

While we joke about the enormity of it all, if you are a retailer stumbling under the weight of all this data, there is hope and over the next few weeks we’ll dive a bit deeper into these figures to showcase how you can get control of the incoming data and most importantly, leverage it in a meaningful way.

Sources:
http://techcrunch.com/2013/11/29/black-friday-online-sales-up-7-percent-mobile-is-37-percent-of-all-traffic-and-21-5-percent-of-all-purchases/

http://www.pfsweb.com/blog/cyber-monday-2012-the-results/

http://www.foxnews.com/us/2013/11/29/retailers-usher-in-holiday-shopping-season-as-black-friday-morphs-into/

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