Tester Jobs Requirements (VIDEO GAME)

There are a lot of ways to organize information. And the bigger a company is, the more complicated it can be for employees to find the right data, let alone know how best to use or share that information to make more-informed decisions.

Chances are that some data is �hidden� in silos across your company. According to new research from Econsultancy in partnership with Google, 86% of senior executives agree: eliminating organizational silos is critical to expanding the use of data and analytics in decision-making.¹

If teams don�t talk, or if your organization doesn�t have an integrated data strategy to harness marketing, customer, and advertising data, information and ideas won�t flow freely. Here are three ways to break down data silos and get your organization on the path to a more collaborative, data-driven culture.

1. Make data accessible � to everyone
If you have work to do to get your data house in order, you�re not alone: 61% of marketing decision-makers struggled to access or integrate data they needed last year.²

The first step to making data more accessible is to outline a data strategy that identifies data owners and key points of contact for each information source. Next, define how to integrate data and related technologies, and provide standards and processes related to data security and privacy. Include guidelines for sharing data internally.

Democratizing access to data and insights enables employees at all levels to check their gut � and that leads to better results. The same Econsultancy study found that marketing leaders are 1.6X as likely as their mainstream counterparts to strongly agree that open access to data leads to higher business performance.³

Watch our on-demand webinar featuring new research and best practices in marketing data and analytics strategy from Google and MIT Sloan School of Management. 

2. Champion the value of data-driven insights over gut feelings
Once data is made available to marketing managers and business decision-makers, make sure you champion a data-first mindset with your team. Using data effectively is a key differentiator for marketers who are ahead of the curve.

While a documented data and analytics strategy can provide a guide for all employees, support from the top helps set the tone. Nearly two-thirds of leading organizations say that their executives treat data-driven insights as more valuable than gut instinct.⁴

C-suite buy-in and other champions across the company help reinforce a data-driven culture by giving teams stuck in silos a nudge to collaborate and share analytic insights. Even better, this environment should give teams the incentive to align or share goals since data is core to campaign plans and marketing strategy.



3. Educate stakeholders on how to interpret the data
Having access to data is great, but if employees don�t know how to use it, the insights will remain isolated and unused. Consider this: 75% of marketers agree that lack of education and training on data and analytics is the biggest barrier to more business decisions being made based on data insights.⁵
If a team is empowered with the right learnings, it will proactively integrate data rather than push it aside. Set up brown bag sessions or internal trainings, or provide employees access to self-paced learning modules.

Finally, consider pairing the �data evangelists� and data storytellers within your organization with different team members to identify areas of focus based on relevant business goals and the biggest opportunities.




^{1, 3, 4, 5} Google/Econsultancy, "The Customer Experience Is Written in Data", U.S., n=677 marketing and measurement executives at companies with over $250M in revenues, primarily in North America; n=199 leading marketers who reported marketing significantly exceeded top business goal in 2016; n=478 mainstream marketers (remainder of sample); May 2017. 2 Google Surveys, U.S., "2016�2017 Marketing Analytics Challenges and Goals," Base: 203, marketing executives who have analytics or data-driven initiatives, Dec. 2016.
² Google Surveys, U.S., "2016�2017 Marketing Analytics Challenges and Goals," Base: 203, marketing executives who have analytics or data-driven initiatives, Dec. 2016.

Posted by Casey Carey, Director of Platforms & Publisher Marketing, Google

Google Data Studio is the biggest step forward in Google�s data reporting & visualization offering since the launch of Google Analytics in 2005. It lets you build great-looking, interactive dashboards that you can share in a similar manner as Google Drive files (see for example this web analytics dashboard). Its a giant leap forward from the old Google Analytics dashboards and a game changer for online marketers.

Google Data Studio provides native integration with a few Google platforms (Google Analytics, AdWords, YouTube, BigQuery, Attribution 360). Of course, most marketers, to use Google Data Studio as their primary dashboarding tool, would like to include data from many more sources, such as Facebook Ads, Bing Ads and Twitter Ads.

Fortunately, there�s a really simple method for adding many more data sources into Google Data Studio, using its Google Sheets connector. Here�s a quick step-by-step guide for doing that.

1. Create a Google Sheet with data to be imported 
There are a number of ways to do this. For instance, to get Facebook Ads data, you can go to Facebook Ads Manager to do a CSV export of your data, and then upload it to Google Drive. For some data sources, you can use spreadsheet functions like IMPORTXML. Or you can build your own Google Apps Script connectors.

For a fully automated data importing workflow, I recommend you try our Supermetrics add-on for Google Sheets (available here; free for 30 days, then $49/mo). It has an easy-to-use query builder and connects to a large number of data sources, like Facebook, Bing, Twitter, MailChimp, even Adobe SiteCatalyst.

To run a simple query using Supermetrics:

1. Launch Supermetrics from the Add-ons menu 
2. Log in to a data source (eg. Facebook Ads) 
3. Pick a few metrics (eg. impressions and cost) 
4. Split to rows by one or more dimensions (eg. country) 
5. Click the blue Get Data to Table button 

After you�ve fetched the data, your Google Sheet should look something like this (here we�re splitting by country):


If you don�t want to test Supermetrics now, you can make a copy of this sheet to try out the following steps.

2. Import the data into Google Data Studio
You can launch Google Data Studio here. If you haven�t yet used Data Studio, you can get the free version here (US only for the time being). 

In DATA SOURCES, click the plus button in the lower-right corner:

From connectors, select Google Sheets and the file you just created, then click CONNECT


Next, Google shows you a list of fields imported from the Google Sheet. Click CREATE REPORT, and in the next window, ADD TO REPORT.

3. Using the data 
You now have a blank report where you can start working with the data. To check everything has been imported ok, try inserting a table. You can change the columns displayed in the Table Properties sidebar.


You can then start building your report. After some trying, you�ll be able to make something great like this:


In many cases, you will want to include more than one Google Sheets data connector, to fetch data from different sources or with different metrics & dimensions. This can be done very easily, just repeat step 1 and 2. Go back to Google Sheets to fetch new data, e.g. Twitter Ads, to another sheet. Then in Data Studio, when adding a graph or table, in the properties sidebar press the arrow next to Data Source to add a connection to the new sheet.

4. Ensure your reports stay up-to-date
If you used the Supermetrics add-on to fetch data into Google Sheets, you can set the those queries to refresh automatically every day, so your Data Studio report will always have the latest data. In Google Sheets, go to Add-ons: Supermetrics: Schedule refresh & emailing, and store a daily refresh trigger.

Final thoughts 
Google Data Studio is a powerful dashboarding tool for any marketer, but by default only works with Google platforms. To make the most of it, use its Google Sheets connector in combination with the Supermetrics Google Sheets add-on to build cross-channel reports.

Posted by Mikael Thuneberg, Google Analytics Certified Partner

1. Hold down the Volume Down and Bixby buttons
2. Press the Power button until the device turns on

Once powered on, we need to press Volume Up to continue into Download Mode.

To power the device off, hold down Volume Down, Bixby and the Power button for around 6 seconds. This will enter Recovery mode, from which we can reboot or power off.