• uniqueness-of-mobile-slideshare
    Six Attributes of Your Mobile Customers That Matter Six Attributes of Your Mobile Customers That Matter

    Six Attributes of Your Mobile Customers That Matter

Six Attributes of Your Mobile Customers That Matter

By the end of 2013, there will be more mobile devices than people on the planet. As more customers interact with your company or brand on mobile devices, learn how you can better engage and monetize them with this condensed version of Medio’s Uniqueness of Mobile Whitepaper. This presentation outlines six critical factors that make your mobile customers unique in order to help you better acquire, retain and monetize them using mobile, predictive analytics.  
By |Friday, April 12, 2013|Commentary|0 Comments
  • 1883661
    MapReduce Best Practices: What Approach Should Your Company Take? MapReduce Best Practices: What Approach Should Your Company Take?

    MapReduce Best Practices: What Approach Should Your Company Take?

MapReduce Best Practices: What Approach Should Your Company Take?

We have seen a lot of buzz around ‘Big Data’ and ‘Data as an Asset’ in recent years.  When used effectively and with the right tools, data can be turned into a critical business advantage. There are different tools and systems that are better suited for different types of data and different uses of data.  At Medio we use MapReduce as part of our ETL platform to process billions of user events in preparation for reporting and building analytical models. MapReduce is simply an approach that facilitates scaling out processing capabilities (information extraction) though parallelization (partitioning) of data.  The Map step is used to partition the data (or computation) across many processing […]
By |Wednesday, March 27, 2013|Commentary|0 Comments
  • 6 Features that makes mobile unique
    Video Overview: The 6 Features That Make Mobile Customers Unique Video Overview: The 6 Features That Make Mobile Customers Unique

    Video Overview: The 6 Features That Make Mobile Customers Unique

Video Overview: The 6 Features That Make Mobile Customers Unique

Transcript: Welcome to Medio the largest provider of predictive app analytics and the leader in driving higher lifetime values from your mobile customers. My name is David Bluhm and I’m Chief Marketing Officer at Medio. I’m here today to talk about a successful mobile strategy and why you need a mobile specific strategy in the first place. So I’m going to outline the six unique features of a mobile customer that are very different and very unique from online or web customers. The first reason mobile is unique and different is that mobile is very personal. We view our devices as extensions of ourselves we customize them, we customize the ringtones, we give them unique cases that […]
By |Wednesday, March 27, 2013|Commentary|0 Comments
  • 1-1Mobile_final
    Using Profiles and Current Context for Superior Personalized Targeting Using Profiles and Current Context for Superior Personalized Targeting

    Using Profiles and Current Context for Superior Personalized Targeting

Using Profiles and Current Context for Superior Personalized Targeting

In the last few years, the tools to collect and store data of any volume have become available to even the smallest mobile development organizations. The efforts around open source tools and the increase in mobile analytics products that are used to extract value from data suggests that the use of behavioral data to measure and drive business decisions has finally become accessible to organizations that choose to collect the information in the first place.  This means that targeting promotions, recommendations, and advertisements based on traditional marketing cohorts is no longer necessary, as the ability to recognize and characterize returning mobile customers creates opportunities to engage with them in a personalized and more context-driven manner. A key barrier to creating […]
By |Thursday, March 7, 2013|Commentary|0 Comments

Measure everything: Moving from “Should we measure that?” to “How should we measure that?”

Current tools around data collection, storage and processing have opened up the opportunity for real time and near-real time analytically driven personalization of user experiences on mobile devices. This personalization can be applied in a variety of ways for such purposes as boosting click-through by intelligently targeting users with contextually relevant advertisements. Personalization can also increase in-application purchases by determining who to make an offer to; this is a critical component given that in-app payments are more profitable than paid apps. The key to success in personalization on mobile is understanding the user as deeply as possible and predicting interests and engagement from that understanding. Rather than relying on blanket statements such as “women like lipstick, and I think […]
By |Wednesday, February 13, 2013|Commentary|0 Comments

The Era of Big Data: Simply a State of Being

Big Data has become a facet of everyday life whether we are aware of it or not. Every day, we create 2.5 quintillion bytes of data which are being created from a variety of sources including digital events like Facebook likes and photo sharing to weather sensors to predict hurricanes.  To dive deeper into the Era of Big Data, Medio’s Co-founder, Chairman and CTO Brian Lent participated in an expert panel hosted by the MIT Enterprise Forum of the Northwest to discuss the opportunities and impact created by big data. The panel included big data experts, Paul Sanford, General Manager of Splunk and Stephen Purpura, CEO and Co-founder of […]
By |Wednesday, January 23, 2013|Commentary|1 Comment

Use Predictive Analytics to Maximize Mobile Revenue

Experts project that by 2015, there will be more than 7 billion mobile devices globally. With the explosion of mobile devices, understanding how users interact with your applications or services is a critical component to your mobile monetization strategy and driving mobile usage. This growing mobile trend set the context for an expert panel at the  APPNATION IV  conference discussing the topic “Mobile Moneyball: Leveraging Personalized Content to Drive Premium Monetization”. On the panel was Brian Lent, Medio’s Chairman and CTO, Larry Jordan, Director of Mobile Web for T-Mobile with George Gilbert, Co-Founder and Principal at TechAlpha Partners serving as the moderator. The panel gave expert insight and real world examples into how personalized content and […]
By |Friday, December 28, 2012|Commentary|0 Comments

Building a Data-Driven Culture: Changing the Way Insights Drive Company Values

If you’ve read various stories such as The Economist article, “Data, data everywhere”and the MIT Sloan Management Review special report, “Analytics: The Widening Divide,”or possibly McKinsey Global Institute’s report, “Big data: The next frontier for innovation, competition, and productivity,” they’ve likely piqued your curiosity. By now, you may be looking for a better understanding around the importance of data collection – and beyond just collecting the data, how incorporating analytics into your decision making can give you a competitive advantage. But how do you incorporate these themes into the way you do business? To build a data driven culture, you don’t just need to change your own habits about engaging with information; you need to gradually insert the focus […]
By |Wednesday, September 12, 2012|Commentary|0 Comments

Medio and The Future of Big Data Analytics

“Why I Joined the Advisory BoD of Medio Systems” – Andy Palmer POSTED AT 9:02 AM, MONDAY, JULY 9, 2012 Today, I’m thrilled to announce that I’ve joined the advisory Board of Directors of Medio Systems. Over the past nine months, I’ve had a chance to work with Brian Lent, Rob Lilleness and many of the other folks on the team at Medio.  I’ve been approached by dozens of “Big Data” companies over the past two to three years as more people have begun to focus on large-scale database challenges.  Medio is one of the few companies that I’ve chosen to work with directly because they’re creatively tackling some of the most pressing challenges, including: Big Data Analytics […]
By |Monday, July 16, 2012|Commentary|1 Comment