Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Thomas Claburn

Thomas Claburn

Editor-at-Large

Apple's Exec Shakeup: 10 Necessary Fixes

Can Apple Change?

(Page 2 of 2)

Apple's Ping social network might have succeeded by being more open. It should have been integrated with Facebook, Twitter and other social networks. It should have had APIs for developers. It shouldn't have required an Apple ID.

Several Apple software applications exhibit the same reluctance to be open. The iBooks Author app, for example, requires content published in the native .ibooks format to be sold exclusively through Apple's iBookstore. The iWeb authoring application, now discontinued, created Web page code that wasn't fully portable to websites not hosted on Apple's MobileMe service. And the iAds Producer app can be used only as outlined in the license agreement, to create HTML5, CSS3 and JavaScript ads and animations exclusively for Apple's iAds network.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

With its new management structure, Apple has an opportunity to change the way it manages its business. If it wants to succeed as a service provider, it has to become more like Google, even as Google has been moving to become more like Apple. It doesn't have to change a lot, but it does need to make some adjustments. I suggest 10:

1. Apple should strive to make the best content authoring tools, rather than tools that favor content tailored for Apple devices.

2. Apple should allow third-party iOS and OS X app stores and should charge 10% of app sales revenue in its licensed stores. It should integrate those stores with its app updating mechanisms in iOS and OS X.

3. Apple should copy Google Play. It should treat apps like books, videos, or music: Approve them unless the content is obscene or otherwise unlawful. This would also allow it to reduce its 30% revenue fee, because it wouldn't need to employ as many app reviewers.

4. Apple should make its bug database for iOS and OS X open, the way Mozilla does.

5. Apple should give iOS users root device access and allow alternative operating systems on its hardware.

6. Apple should find a way to make its Nitro JavaScript engine work with third-party apps using WebViews, so all apps have a level playing field regardless of whether they're using mobile Safari or not.

7. Apple should make more of its private APIs available to developers, and it should open up access to mobile device hardware systems like the phone dialer and the radio.

8. Apple should support the development of third-party hardware extensions to iOS devices outside of its MiFi program, which should focus on certifying medical and scientific accessories rather than consumer hardware.

9. Apple should involve its user and developer communities in the improvement of its Maps app and other online services. It should talk to its community and encourage conversation among its developers, rather than seeking to limit what they can say with non-disclosure agreements.

10. Apple should engage with the public by responding to media queries and by encouraging its employees to blog.

Apple can keep trying to control everything. But its first-mover advantage and patents won't keep the competition at bay forever. Only by opening up can Apple ensure that innovation isn't locked out.

« Previous Page | 1 2  


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.