Big Data. Big Decisions
InformationWeek
Special Coverage Series


What Softbank Sees In Sprint

Japan's Softbank is reportedly in talks to buy Sprint for $12.8 billion. Will the deal provide third largest U.S. wireless carrier with resources to grow?

The plight of Sprint, the third-largest wireless network operator in the U.S., has been a tough one to watch over the last few years. Things have been bad, or at least they haven't been good, ever since the merger with Nextel. Now, a savior has appeared in the form of Softbank, which is Japan's third-largest network operator. Can putting two second runners up together make for a winner?

Talk of the deal kicked off this morning when both Japan's Nikkei and The Wall Street Journal reported that acquisition talks are already well under way. The Journal called the talks "advanced," meaning they are close to being complete. If the reports are accurate, and the deal is announced, here's what Softbank might find appealing about Sprint.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Spectrum -- Sprint has vast spectrum holdings, including sections of the 800MHz, 1900MHz, and 2.5GHz bands. Right now, the 800MHz and 1900MHz blocks are being used by its iDEN, CDMA, and LTE networks. The 2.5GHz block is where Sprint's WiMax network, built in association with Clear, resides.

Network Vision -- Sprint is behind larger competitors AT&T and Verizon Wireless when it comes to deploying LTE. AT&T has more than 60 markets covered and Verizon has more than 400. Sprint has less than 20 covered so far. However, Sprint has done a good job of migrating its services and devices across its spectrum holdings. Most importantly, Sprint's core network overhaul is using multi-modal base station technology and runs on an entirely digital IMS platform. Once finished, it will be an advanced network.

[ The mobile industry keeps consolidating. Is that a good thing? Read What T-Mobile, MetroPCS Merger Means For Business. ]

Handset Relationships -- Sprint has good relationships with HTC, Kyocera, LG, and Samsung. It also works with Motorola and RIM.

Customers -- Sprint has about 55 million customers, which puts it at about half the size of either AT&T or Verizon Wireless.

MVNOs -- Sprint is one of the most aggressive providers of Mobile Virtual Network Operator services. It allows other companies to resell access to its network under their own brands. Think Republic Wireless, Ting, PrepaYd, among others. This could lead to an opportunity for Softbank to offers its own branded services to U.S. consumers.

Synergies -- At least one analyst, AnalysysMason's Steve Hilton, sees plenty of positives. "Sprint's tremendous focus on customer satisfaction would fit well with Softbank's approach to the market," he said. "Traditionally Japanese companies have a very results-oriented approach to dealing with customers. Use of customer satisfaction statistics to drive improvement--long the hallmark of Sprint under CEO Dan Hesse--would fit well with Softbank's approach. Both companies have CDMA networks, possibly affording some cost savings from larger purchase volumes from network vendors."

These are all mostly positive factors, but there are plenty of items that could deep six the deal.

Debt -- Sprint has a lot of it. It's taken on billions in investor money to secure the capital it needs to update its network.

Clearwire -- Sprint owns 54% of its WiMax joint venture. This could lead to complicated entanglements. Would Softbank acquire Sprint and all of Clearwire, only the portion of Cleawire that Sprint already owns, or leave Clearwire off the table entirely? Sprint is depending on its WiMax parter (which is also converting to LTE) to provide additional 4G coverage down the road. The Clearwire situation needs to be handled with care.

Regulatory Approval -- This one is hard to call. For example, Verizon Wireless is a joint venture between Verizon Communications and the U.K.'s Vodafone. T-Mobile is a subsidiary of Deutsche Telekom. The U.S. may not want to hand Sprint over to a Japanese firm so easily, especially in light of the government's recent report on China's Huawei and ZTE.

Neither company has confirmed the acquisition talks, and it's not clear when they might announce such a deal.



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.