Big Data. Big Decisions
InformationWeek
Special Coverage Series


Nokia Lumia 720, 520 Stake Windows Phone Middle Ground

At Mobile World Congress, Nokia announced two Windows Phone 8 devices that aim to please the bargain shopper.

Nokia's Mobile World Congress announcements may have disappointed those hoping for the Finnish firm's next flagship device, but they prove Nokia is committed to serving a broad range of customers.

The company took the stage this week to reveal the Lumia 720 and Lumia 520, two middle-of-the-road smartphones that run Microsoft's Windows Phone 8 platform. Neither is flagship material, and they instead fill empty spaces in Nokia's offerings.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

The Lumia 720 is a midrange device that has a 4.3-inch display with Nokia's ClearBlack technology. The glass is curved so that it forms a smooth surface on the front of the phone. It makes use of the unibody style that Nokia has come to prefer, which means the battery cannot be removed. It has a memory card slot, and the camera features a Carl Ziess f/1.9 lens for better low-light performance.

[ Attend Interop Las Vegas, May 6-10, and get the most thorough training on Apple Deployment at the NEW Mac & iOS IT Conference. Use Priority Code DIPR02 by March 2 to save up to $500. ]

The 720 will not be sold in the United States. In order to keep the price down, it is targeting markets that don't yet have LTE 4G networks. This means the 720 will likely serve as Nokia's high-end device in emerging markets.

The Nokia 520, however, will be sold in the U.S. by T-Mobile USA. It is an entry-level Windows Phone 8 device that includes a 4-inch display that can be used with gloves on. It is powered by a 1-GHz Snapdragon S4 dual-core processor and includes a 5-megapixel camera, 8 GB of storage and a microSD card slot. It will reach stores during the second quarter, though pricing hasn't been revealed. Given the specs and cost of T-Mobile's other Windows Phone devices, the 520 will likely sell for $50 or less.

Beyond these two Lumia smartphones, Nokia announced several ultra-low-end devices for emerging markets, the 301 and the 105. Both are simple devices with few features other than basic telephony and messaging.

It has been about six months since Nokia announced a flagship device, the Lumia 920. The 920, sold by AT&T in the U.S., is still just reaching some markets around the world and clearly has some life left at the top of Nokia's smartphone heap. With the 720 and 520 added to its stable, Nokia now has devices in the 900, 800, 700, 600 and 500 range, each with clear differences in terms of features and price points. Covering such a range of prices with these phones is exactly what Nokia needs to do in order to get its phones into more hands.

Nokia isn't expected to name a successor to the 920 for at least a few more months.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.