Paying for the monthly phone bill can be a moment of dread for people fearing they went over their data limits. With “Unlimited Data” plans being almost a thing of the past, most cell phone owners have an imposed data limits. With the new iOS 9 updates, there have been numerous complaints of unusually high cellular data usage. If this is the case for you, we have some tips you can use to reign in that cellular data consumption.

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Tips to Reduce High Data Usage on your iPhone

1. Turn Off Cellular Data Usage for iCloud

If you use iCloud to move files back and forth between devices, this could lead to higher than usual data fees. If you are working on a Pages document during your Uber ride, that means you’re using cell data. All those edits and changes are being saved to the cloud and using data during the process. So, if you can

1. Open Settings and go to iCloud.
2. In the iCloud section tap on iCloud once more
3. At the next screen scroll all the way to the bottom and disable “Use Cellular Data.”

When you disable this feature, iCloud will no longer use cell data to transfer docs or data, which will save power users some vital bits of data.

Jun 10, 2018  1. The built in Data Usage app on WP10 does not have a reset button. The data usage feature is at Settings Network and Wireless data usage. To get the data usage to reset to 0, we need to reset the date/time on the phone itself. So, we're using. Step 1, Clean only when necessary. Clean the disc if you notice dirt or dust on the non-labeled side, or if your console or computer can't run the disc. Frequent cleaning is unnecessary and increases the risk of scratching the disc.Step 2, Find a soft, clean cloth. Always use a smooth-textured, lint-free material, such as cotton or microfiber cloth. Avoid rough materials such as facial tissues or paper towels.Step 3, Dampen a small area of the cloth. Use regular tap water to wet a small area. Windows 10 Data Usage On/Off I recently upgraded to Windows 10 and used the data monitoring tool to examine my data usage against the limit set by my ISP. The tool worked just fine. However, after managing my PC start-up via the Settings tool I find the data usage count has been reset to zero and it no longer seems to work. How do I switch it.

2. Disable Automatic Downloads on Cellular Data

App downloads are some of the biggest files on your device. If you are downloading these automatic updates, that could really add up. Instead, wait until you are connected to Wi-Fi before downloading and updating your apps.

1. In Settings find App and iTunes Stores.
2. In the Apps and iTunes Stores section, you’ll see Use Cellular Data. Turn this off and you’re good to go.

3. Disable Wi-Fi Assist

Wi-Fi Assist can be just as harmful as it is helpful. When trying to supplement a weak Wi-Fi signal, Wi-Fi Assist uses Cellular Data to help with bad service. While this does help, you could unknowingly be using a bunch of data. To disable the feature:

1. Open the Settings app and find Cellular.
2. Scroll all the way to the bottom and slide the toggle for Wi-Fi Assist OFF.

Again, for folks that may have a weak Wi-Fi signal at home, you actually be using cellular data if you had Wi-Fi assist enabled. If you have had unusually high data usage, Wi-Fi assist could be the problem. But, with one problem comes more.

4. Monitor or Disable Data Hungry Apps

This is more of a general tip. But there are certain apps that you use more than others. Some of these apps won’t consume data at all and others will. It’s always good to know which apps consume data, and more importantly if those apps even need access to cellular data.

Be sure to prevent unnecessary, data hungry apps from using cellular data. Just toggle them off one-by-one.

5. Disable Background App Refresh

This is a very common trick to save on data. Apps can update in the background, while you are not using them and this of course, consumes data. This can be disabled and won’t really effect how you interact with your phone.

1. Go to Settings -> General and find Background App Refresh.
2. Open the menu and disable the function at the top. The apps will go from green to blank.
   • You can review the list of apps that had Background Refresh below the toggle.

This is option is usually disabled to save on battery life, but it works for saving on data as well.

6. Avoid Streaming High-Quality Music

Apple has created the option to stream high quality music regardless of your being on Wi-Fi or cellular. Of course, the higher the quality, the larger the file. The larger the file, the more data is needed to stream it. So, if you are in a pinch with your data limits, you’ll want to turn this OFF.

1. Open Settings and head to Music
2. Find and disable High Quality on Cellular
3. If you really want to avoid data fees, you can also disable Use Cellular data. With this option disabled, you will only be able to stream Apple Music over Wi-fi.

Disabling High Quality is the best option for those people who still want to listen to music over data, but don’t want the higher file size. If you use Pandora, Tidal, or Spotify, you can make sure that those only stream over Wi-Fi as well.

7. Disable Autoplay Videos on Cellular Network

Over the last few years, Facebook and Twitter have introduced a feature which autoplay the videos automatically in your timeline. It offers a great experience but with more people sharing videos on Facebook and Twitter, you’re unknowingly using up lot more data on your iPhone or cellular if you’ve autoplay videos enabled.

Check our post to find out how to prevent videos from playing automatically in Facebook and Twitter.

➤ Tip: How to reduce mobile data usage on iPhone or iPad for Facebook and Twitter users

8. Last Resort: Avoid using cellular data completely

As a last resort you can turn off cellular data completely. If you are at your 2GB monthly limit and can’t afford to go over, then this is your number one option.

1. Settings -> Cellular
2. Turn Cellular Data OFF.

If you are not on Wi-Fi applications, like ESPN, will not load without cellular data turned off. So, no need to fear about adding extra data when this is toggled OFF.

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Those are some of the very best tips available for reducing high data usage for iPhone or cellular. Any tips that we missed? Let us know in the comments section.

Update:

If you’ve upgraded to iOS 10 or later then check out our latest tips and tricks post to reduce high data usage:

➤ How to Reduce Your iPhone’s Mobile Data Usage in iOS 10 or later

Misspelled words, stubborn trailing spaces, unwanted prefixes, improper cases, and nonprinting characters make a bad first impression. And that is not even a complete list of ways your data can get dirty. Roll up your sleeves. It is time for some major spring-cleaning of your worksheets with Microsoft Excel.

The basics of cleaning your data

You don't always have control over the format and type of data that you import from an external data source, such as a database, text file, or a Web page. Before you can analyze the data, you often need to clean it up. Fortunately, Excel has many features to help you get data in the precise format that you want. Sometimes, the task is straightforward and there is a specific feature that does the job for you. For example, you can easily use Spell Checker to clean up misspelled words in columns that contain comments or descriptions. Or, if you want to remove duplicate rows, you can quickly do this by using the Remove Duplicates dialog box.

At other times, you may need to manipulate one or more columns by using a formula to convert the imported values into new values. For example, if you want to remove trailing spaces, you can create a new column to clean the data by using a formula, filling down the new column, converting that new column's formulas to values, and then removing the original column.

The basic steps for cleaning data are as follows:

1. Import the data from an external data source.

2. Create a backup copy of the original data in a separate workbook.

3. Ensure that the data is in a tabular format of rows and columns with: similar data in each column, all columns and rows visible, and no blank rows within the range. For best results, use an Excel table.

4. Do tasks that don't require column manipulation first, such as spell-checking or using the Find and Replace dialog box.

5. Next, do tasks that do require column manipulation. The general steps for manipulating a column are:

   1. Insert a new column (B) next to the original column (A) that needs cleaning.

   2. Add a formula that will transform the data at the top of the new column (B).

   3. Fill down the formula in the new column (B). In an Excel table, a calculated column is automatically created with values filled down.

   4. Select the new column (B), copy it, and then paste as values into the new column (B).

   5. Remove the original column (A), which converts the new column from B to A.

To periodically clean the same data source, consider recording a macro or writing code to automate the entire process. There are also a number of external add-ins written by third-party vendors, listed in the Third-party providers section, that you can consider using if you don't have the time or resources to automate the process on your own.

Spell checking

You can use a spell checker to not only find misspelled words, but to find values that are not used consistently, such as product or company names, by adding those values to a custom dictionary.

Removing duplicate rows

Duplicate rows are a common problem when you import data. It is a good idea to filter for unique values first to confirm that the results are what you want before you remove duplicate values.

Finding and replacing text

You may want to remove a common leading string, such as a label followed by a colon and space, or a suffix, such as a parenthetic phrase at the end of the string that is obsolete or unnecessary. You can do this by finding instances of that text and then replacing it with no text or other text.

Changing the case of text

Sometimes text comes in a mixed bag, especially when the case of text is concerned. Using one or more of the three Case functions, you can convert text to lowercase letters, such as e-mail addresses, uppercase letters, such as product codes, or proper case, such as names or book titles.

Removing spaces and nonprinting characters from text

Sometimes text values contain leading, trailing, or multiple embedded space characters (Unicode character set values 32 and 160), or nonprinting characters (Unicode character set values 0 to 31, 127, 129, 141, 143, 144, and 157). These characters can sometimes cause unexpected results when you sort, filter, or search. For example, in the external data source, users may make typographical errors by inadvertently adding extra space characters, or imported text data from external sources may contain nonprinting characters that are embedded in the text. Because these characters are not easily noticed, the unexpected results may be difficult to understand. To remove these unwanted characters, you can use a combination of the TRIM, CLEAN, and SUBSTITUTE functions.

Fixing numbers and number signs

There are two main issues with numbers that may require you to clean the data: the number was inadvertently imported as text, and the negative sign needs to be changed to the standard for your organization.

Fixing dates and times

Because there are so many different date formats, and because these formats may be confused with numbered part codes or other strings that contain slash marks or hyphens, dates and times often need to be converted and reformatted.

Merging and splitting columns

A common task after importing data from an external data source is to either merge two or more columns into one, or split one column into two or more columns. For example, you may want to split a column that contains a full name into a first and last name. Or, you may want to split a column that contains an address field into separate street, city, region, and postal code columns. The reverse may also be true. You may want to merge a First and Last Name column into a Full Name column, or combine separate address columns into one column. Additional common values that may require merging into one column or splitting into multiple columns include product codes, file paths, and Internet Protocol (IP) addresses.

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Transforming and rearranging columns and rows

Most of the analysis and formatting features in Office Excel assume that the data exists in a single, flat two-dimensional table. Sometimes you may want to make the rows become columns, and the columns become rows. At other times, data is not even structured in a tabular format, and you need a way to transform the data from a nontabular to a tabular format.

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Reconciling table data by joining or matching

Occasionally, database administrators use Office Excel to find and correct matching errors when two or more tables are joined. This might involve reconciling two tables from different worksheets, for example, to see all records in both tables or to compare tables and find rows that don't match.

Third-party providers

The following is a partial list of third-party providers that have products that are used to clean data in a variety of ways.

Note: Microsoft does not provide support for third-party products.