Posts Tagged ‘big data’

Aug 30
2012

Normally a new chapter of an organization takes some time (years in some cases) to catch up and be able to compete with other established chapters within the organization. Nevertheless, there is an exception to this rule and that’s if the new chapter was established in the Bay Area — you would have to expect the best no matter how big or small the event is and no matter where the bar was set by the other sister chapters.

Yesterday, the digital marketing and digital analytics industry experienced a state-of-the-art symposium organized by local DAA members (forming the soon to be the official DAA San Francisco chapter). The symposium was titled “What’s Next? – The Future of Digital Analytics” and was attended by almost 200 professionals who had the opportunity to listen and engage with 18 top-industry leaders.

For those of you who missed it, here are some highlights of the event:

 

<Session 1> Localization, Social Media & Mobile </Session 1>

 

My favorite presentation was by Jarah Euston of Flurry who delivered an awesome talk about the use of mobile apps in our daily life and how marketers through mobile devices can deeply understand their consumer’s behavior.

<Session 2> Big Data </Session 2>

 

The 7 Myths of Big Data:

<Session 3> Career Development in Digital Analytics </Session 3>

 


…and before we leave we have to take an E-Nor group picture :)

Thank you!

I would like to extend my sincere thanks to the planning team and the DAA staff for the efforts they put into planning the event. While I might not be aware of the amount of time they spent to make this event a successful one, every attendee (including myself) can tell from the end result that a lot of sacrifice was put forth to make this happen.

Planning Team:

  • Charles Davis, Blast Advanced Media
  • June Dershewitz, Apollo Group
  • Auria Moore, Ensighten
  • David Rogers, ConvertClick
  • Krista Seiden, Apollo Group
  • Feras Alhlou, E-Nor

Finally!

Aug 24
2012

Digital Analytics Association Logo

Are you interested in the future of digital analytics? So are we! That’s why E-Nor is excited to be participating in the upcoming Digital Analytics Association (DAA) 2012 Symposium in San Francisco. The event takes place Wednesday, August 29th at the Mission Bay Conference Center, and is focused on What’s Next – The Future of Digital Analytics.

This in-depth, half-day symposium features industry leaders on topics such as Localization, Social Media and Mobile, Big Data, and Career Development. Learn about what’s working now in digital analytics and what’s to come. Explore how organizations are overcoming the challenges of today to better the future of digital analytics tomorrow.

Our fearless leader, Feras Alhlou ;) will share his thoughts on the topic of Finding and Developing Talent. He is sharing practical tips on how to nurture your future analytics rock stars. Feras will be rounding out the symposium with other industry leaders who are presenting in the Career Development track. Following these informational presenters and a panel discussion, the event will close with a networking reception and sponsor showcase.

We’re certain this symposium will provide relevant and practical insights along with the opportunity to mingle with like-minded individuals on hot topics in the digital analytics world. Registration is still open for this affordable, local event. But don’t delay! The DAA’s What’s Next – The Future of Digital Analytics Symposium is just days away!

And last but not least, we want to extend a BIG thank you to the local DAA volunteers and the DAA staff for planning this event, and to all the sponsors for their support and commitment.

 

May 22
2012

Introducing Google Big Query

Cloud Computing
With Google BigQuery publicly available, all businesses can combine large data sets with amazing speed and do analytics in the cloud.

What Kinds of Questions Can You Answer With Google BigQuery?

Let’s say you are the marketing manager of a large B2C business that is driving traffic to your site through many channels including paid search, affiliates, email, and some offline campaigns as well. You really want to tie the campaign cost data all the way to your qualified leads, opportunities, and sales data, which typically resides in a CRM system, such as SalesForce, SugarCRM, or the like.

But why stop there? You also want to throw in your web analytics data and get engagement metrics in the mix. Last but not least, you’ve done your homework and implemented an integration strategy to tie all this data together (e.g. using a primary key).

You want to produce a very actionable report that shows:

  • Campaign cost data
  • Web analytics data
  • CRM data
  • A super actionable metric cost per qualified lead, broken down by campaign!
Cost per Qualified Lead Calculation with Google BigQuery

Report Analysis

In the above report, the cost per qualified lead for the Software Demo campaign in Google Adwords was just a little bit over $30, and you can start trending and optimizing accordingly. Run experiments and gather user feedback to bring that cost down!

Other Useful Features

  • Metrics like cost per qualified lead can be recalculated with amazing speed as often as the data is refreshed.
  • Results like this can be saved as a table, allowing you to build up layers of useful reports and then combine them to build even more useful reports.
  • Reports can be downloaded in CSV format for integration with Excel, PowerPoint, or whatever presentation and integration tools your business might use.
  • Unsampled reports from large data sets in Google Analytics Premium are the perfect kind of data set to upload to Google BigQuery.

Technical Details about Google BigQuery

  • Google BigQuery is a tool which allows businesses to gain insights from large data sets without any initial hardware purchases or software investments.
  • The BigQuery service is an online analytical processing (OLAP) system designed for terabyte-scale datasets.
  • The service supports SQL-like queries against those massive datasets.
  • BigQuery is surprisingly developer friendly, as it supports the straight forward REST (REpresentational State Transfer) Web service for pushing data to Google’s cloud and then querying it.
  • Google BigQuery can be accessed through a web tool or programmatically through the REST interface.
  • The web tool might be useful in visually identifying relationship and building queries, while the REST interface lets your developers get at the data in the most efficient way.

What Are the Possibilities?

Contact E-Nor for more information on how we can help you leverage Google BigQuery to answer business questions and improve your bottom line.