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Archive for April, 2013

This Flow Chart Explains Time Travel

This Flow Chart Explains Time Travel In All Movies and Television | /Film.

The Future Of Mobile [SLIDE DECK] – Business Insider

We looked closely at the growth of smartphone and tablet adoption, the platform wars, and how consumers are actually using their devices.Weve posted the deck here. We hope you enjoy it.

via The Future Of Mobile [SLIDE DECK] – Business Insider.

Who’s Winning, iOS or Android?

You had to ask, huh?

On some level, it’s too crude a question to take very seriously. There are just too many ways to define “winning,” and neither platform leads in every area. But here’s the closest thing to an objective answer I can manage: Android, if you’re talking about market share; iOS, if you mean financial success. So far, this is a strikingly different market than the PC business back in the 1990s, when market share translated directly into financial success.

via Who’s Winning, iOS or Android? All the Numbers, All in One Place | TIME.com.

Firms must balance five elements before planning personalization

CI professionals have expertise in data, technology, and analytics — all important ingredients of personalisation. But to make the analytically driven personalisation work, they must :

· Prioritize what to personalize. Marketers have a massive choice of assets to personalize for the customer — web pages, product and service recommendations, email, dynamic prices, discounts and offers, and marketing and advertising messages. Prioritize what to personalize by:

1) distilling the intended outcome, such as improving online shopping experience or improving discount redemption rates, and 2) looking back at A/B tests for clues to positive customer responses that explicitly show how an offer or piece of content worked better than others.

  • Estimate customer’s expectation of personalization. Thanks to Amazon-like shopping experiences, customers expect a higher degree of personalization from digital channels than other channels. Before embarking on a significant technology investment for personalization, understand the level of expectations from customers though preference surveys, feedback forms, and even face-to-face interactions.
  • Distinguish between known and unknown attributes. Successful personalization depends to a very large extent on using known data about personal preferences and behaviors of existing consumers. But when targeting prospects, firms need to rely heavily on analytics to build proxies for the unknown attributes of prospects. For example, this might mean judging a user’s interests based on recently visited websites or based on other known details that are similar to those of existing customers. With every accepted or rejected offer, prospects are giving more clues about their preferences.
  • Understand the level of analytical complexity. The analytics complexity to execute personalization ranges from basic segmentation to real-time self-learning personalization. The level of sophistication in personalization depends on where the firm is in its analytics and technology adoption. For instance, to achieve real-time, self-learning personalization, the
    firm must already have an advanced data infrastructure that seamlessly ties all customer and prospect data together. Work backward from what personalization is supposed to drive and then choose the appropriate analytical methodology.
  • Choose the interaction context. The interaction context is the channel, either inbound or outbound, though which the customer or firm initiates a contact. To orchestrate cross-channel personalization, stitch the various channel deployment technologies together by evaluating the integration capabilities of single-channel vendors, such as Adobe Omniture, Baynote, or X Plus One, and multi-channel vendors, such as FICO, IBM Unica, Infor, or SAS. 

Click to access 20460.Forrester_Research_Use_Customer_Analytics_To_Get_Personal.pdf


Times Education Supplement – Teacher’s Top Reads

1. Pride and Prejudice: Jane Austen
2. To Kill a Mockingbird: Harper Lee
3. Harry Potter series: JK Rowling
4. Wuthering Heights: Emily Bronte
5. Jane Eyre: Charlotte Bronte
6. Nineteen Eighty-Four: George Orwell
7. The Lord of the Rings series: JRR Tolkien
8. The Book Thief: Markus Zusak
9. The Hobbit: JRR Tolkien
10. The Great Gatsby: F Scott Fitzgerald
11.. The Kite Runner: Khaled Hosseini
12. The Hunger Games series: Suzanne Collins
13. The Time Travelers Wife: Audrey Niffenegger
14. The Chronicles of Narnia series CS Lewis
15. Of Mice and Men: John Steinbeck
16. Birdsong: Sebastian Faulks
17. His Dark Materials series: Philip Pullman
18. The Gruffalo: Julia Donaldson+ Axel Scheffler
19. The Catcher in the Rye: JD Salinger
20. Life of Pi: Yann Martel