Google Places is Adding Upcoming Events To Venues via Rich Snippets. Prediction API - Google Code. Apps Script - Google Apps Script - Google Code. Pivot Tables now in Google spreadsheets. Posted by Jaideep Mirchandani, Product Manager, Google Apps Over the past few months, we’ve released a string of new features in Google Docs to give your business more tools for collaborative document editing and data analysis. From simpler file uploads to discussions and mobile editing in documents, we’re making it easier for you and your colleagues to work together on the web. Continuing with this effort, we’re launching pivot tables in Google spreadsheets, which will be rolled out to all Rapid Release users over the next 24 hours. With pivot tables, you can quickly narrow down large data sets to get high level insights.
Say you run a retail chain and you have thousands of rows of sales data broken down by purchase. It could be helpful for you and your sales manager to view the total annual revenue for each region without having to enter multiple formulas. To see how pivot tables work in Google spreadsheets, check out this video: Schema.org. Over 2 billion email messages migrated to Google Apps. While the majority of Google Apps customers choose to “go Google” quickly without transferring old data from their previous IT environment, some companies are reluctant to step into the future without bringing along emails, calendar entries and contacts from the past. To that end we’ve released several data migration utilities, including Google Apps Migration for Microsoft Outlook®, which we announced last week. These tools have helped unshackle thousands of organizations from their previous technology solutions. Our customers have migrated more than 2 billion email messages to Google Apps, and in the past 2 months alone, more than 14 million calendar events and 6 million contacts (not counting domain-wide address lists) were migrated to Google Apps from Microsoft Exchange® and Lotus Notes®.
It’s been some time since several of our migration utilities launched, so we thought we’d summarize our data migration options here. Migrating from Microsoft® Exchange and Microsoft Outlook®: Automating business processes with Google Apps Script. Web Toolkit - Google Code. Google Code. Developer's Guide Overview - Google Data Protocol - Google Code. Warning: Most newer Google APIs are not Google Data APIs. The Google Data APIs documentation applies only to the older APIs that are listed in the Google Data APIs directory. For information about a specific new API, see that API's documentation. For information about authorizing requests with a newer API, see Google Accounts Authentication and Authorization. Google's mission is to organize the world's information and make it universally accessible and useful. This includes making information accessible in contexts other than a web browser and accessible to services outside of Google.
The Google Data Protocol provides a secure means for external developers to write new applications that let end users access and update the data stored by many Google products. This set of documents is intended for anyone who wants to understand Google Data Protocol. If you're looking for the Developer's Guide for a specific API, visit the Google Data Protocol API Directory. Protocol Version 2.0 vs. Mashup Editor - Google Code. The Huge Collection of Google Analytics Tips | Search Engine Jou. Putting aside all recent arguments and gossip as per privacy issues (yep, nothing is probably totally free and Google Analytics should be using its (your?) Data in some way), I should confess, I love the tool and use it. I’ve been compiling the list of advanced Google Analytics tips that open up plenty of possibilities to track and evaluate. Today I am sharing the list and expect you to share yours too!
Note: I haven’t tried all of these tricks with the new Google Analytics code yet, so if there are any problems with any of them, please report. Track 404 page (more info here): I’ve been reporting on the importance of handling your 404 page properly. Classify your site visitors, e.g. track the browsing and buying behavior of your “customers” (those who subscribed, made a purchase or downloaded your product): <script type=”text/javascript”>pageTracker.
Google Analytics help page gives the following examples of the option usage: Track your banner ads with the same code as the above one. Webmaster Tools. Reader. iGoogle.