Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Eric Zeman

iOS 6: 5 Things That Disappoint

Apple's new mobile operating system offers some much-needed improvements, but plenty of things still need polish.

iPhone 5's 10 Best Features
iPhone 5's 10 Best Features
(click image for larger view and for slideshow)
Apple made some great improvements to iOS 6 with its Photo Stream syncing, Safari syncing, Facebook integration, and Do Not Disturb. Unfortunately, Apple didn't go far enough in revising some apps, and falls completely on its face with others.

Here are five things about iOS 6 that Apple could have done much, much better.

1. Apple Maps: It's horrid. I've been unimpressed with Apple Maps throughout the beta period of iOS 6. I was hoping that the company would make some refinements along the way, but it didn't. Apple Maps is a complete face-plant for Apple. It's missing streets, cities, and significant points of interest, it is slow to load, and maps are rather pedestrian-looking when compared to the rich Google Maps. Some of Google Maps' best features, such as Street View, are missing from Apple Maps entirely. This app needs fixing ASAP, Apple. At the very least, let us put Google Maps back on our devices while you fix this mess.

2. Email: Apple gave its native email application a few new features, but didn't fill in some of the biggest remaining gaps. I like that Mail for iOS finally allows users to add photos/videos after they've begun composing an email, adds the ability to sort through flagged emails, and builds in support for multiple email account signatures. Still missing? The ability to mark all as read or delete all messages; support for additional fonts and/or styling within emails; spam filters for the device itself; and support for group emails. Other features are still absent, but these are the most glaring. For Gmail users, as an example, the browser-based application is still far superior to Mail in iOS.

[ There's still a lot that's good in iOS 6. See iOS 6: 5 Things To Like. ]

3. Delete Apple Apps: Apple still doesn't allow iOS users to delete the stock Apple-developed apps. For example, I don't use Newsstand at all. Not only can I not delete this unwanted application, I can't even add it to a folder to hide it from view. It irks me every time I see it. This and other apps are forever stuck on the iPhone, iPad, and iPod Touch. Grrrrr.

4. Siri: Siri has come a long way since its fall 2011 debut, but it hasn't come far enough. Apple still lists Siri as a "beta" application, but it still has the feel of an "alpha" app, if you ask me. Some of the best new Siri features include the ability to look up sports scores, check movie times/reviews, and even find local restaurants and make reservations. The problem is Siri's voice recognition remains quite poor. Siri translates my dictated speech accurately only about 50% of the time. That means 50% of the time, the app doesn't work properly. C'mon, Apple. Google's voice recognition has yours beat by a country mile.

5. Minor Annoyances: Other features missing and/or not updated that aren't a huge deal, but still register on the scale of annoyances include: not enough font support; old and stale notification alerts/tones; no widgets/dynamic home-screen content; lack of support for Adobe Flash (just kidding, making sure you're still reading); and lack of visual flair or pizzazz. The operating system received plenty of new features, but looks and feels just like it has since 2007.

Despite these admittedly picky issues, there's still plenty to like in iOS 6, which is a decent upgrade from iOS 5.



Related Reading


More Insights




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.