All posts tagged data

As a social media monitoring and analytics company, one of the most frequently asked questions we get is “so what data do you collect and how fast do I get to see it?”  It’s a great question and critical since in business intelligence, or social intelligence as we are in, everything starts with the data.  Our data collection has kept us ahead of rest and powers our groundbreaking analytic capabilities like Topic Discovery and powerful engagement features in Visible Intelligence.

So let’s start with the first question, what do we collect?  We’ll start with the obvious answer:  social media data in over 50 languages.  Visible collects social media data from a massive list of known global social media sites and we have our own proprietary crawlers tools that discover and collect from sites that fit the format of social media content we are looking for.  Typically that means content that has an author, date, body, usually a title and most of the time a place for others to leave feedback and comments but there are always exceptions like Twitter.  The types of sites include blogs, forums, microblogs, social networks, review sites, video and photo sharing sites, wiki’s, social bookmarking, mainstream and news sites and much more.

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At the recent Forrester Marketing Forum #FMF11 the key theme was around how rapid innovation is creating radical shifts in the methods and media that people use to engage with your company, brand, and products.

At a time when the evolving nature of social media is opening up new ways of thinking we decided to ask some of the attendees what they believe is the secret source of marketing innovation.

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A Challenge to Marketers

We live in the age of data see http://blog.visibletechnologies.com/inflection-point-social-media/. Statistics is the language of data and it’s time for marketers to up their game.

Beyond Incidence

A popular tool in social media listening platforms is the “word cloud”. Typically these are generated using the rudimentary method of counting the frequencies of word occurrences in a collection of documents. Of course the fact that words like “the” and “what” occur frequently is useless to marketers. Unfortunately, most products simply suppress common English words and stop there. These simple minded techniques miss the mark on two fronts.

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I’m here to tell you that corporate social media listening – if not handled correctly – can be detrimental to your brand; an unusual claim considering the company that signs my paychecks. But it’s true.

Corporate and brand social media (insert your favorite term here – tracking, monitoring, listening, intelligence) has exploded over the past three years, driven mainly by the popularity of powerful social networks we don’t need to name anymore.  Social listening pretty much got its start in most companies when one business group, or in some cases, one individual decided it was time to move beyond Goggle News Reader and implement a more robust software tracking platform on behalf of the company.

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The Three D’s of Intelligence

Socializing your enterprise analytics boils down to a single word—integration.  Even though we can agree that this is a core need as Social Intelligence (SI) permeates across the organization, it’s not a straightforward operation that can be managed in a one-time project.  Like the BI of your existing systems and processes, SI is an evolution.  As you learn more and ask deeper and broader questions, while reacting to changes in the marketplace, your needs and your vision (and therefore your requirements) will evolve.   However, if you wait until there is a crystal-clear understanding, well let’s be honest—you’ll be waiting a long time.

Destinations

Before you jump to integration, your first step is an understanding of goals.  Where are you going?  Figuring that out will help drive two major components for integration—what the data points are in your existing BI ecosystem that you’re going to need, and how you’re going to align your SI taxonomies to appropriately merge with that data.

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In the early days of the Web, search engines were touting the number of indexed pages that they held in their data stores[1].  Quickly that number became as meaningless as the visitor counter found on nearly all the old Geocities pages of the same era.  Social media is quickly following the same pattern.  Twitter, alone, is estimated to generate somewhere in the ballpark of 65M tweets a day.[2]    And like search, social is transforming its questions.  It is no longer about “How Much.” Rather, it is about “How Relevant.” The data that Social Media applications provide for the enterprise needs to be meaningful to make great business decisions.

Search and Social Media are converging into the next generation of Social Intelligence for the enterprise.  With any successful social media platform, you need to do more than just find that one, very relevant, very specific post that you would like to identify.  You are going to need to quantify that search space, discover insights within it, and aggregate it in so many different ways that the experience feels more akin to a business intelligence experience than one of traditional search.  But unlike the world of most BI in the enterprise, social media comes with a massive, unstructured, unclassified data set from which to gain the insights you need.

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For the past two years as an Account Manager at Visible Technologies I have worked with clients from all over the world as they embark on and manage their social data programs.  These are companies who are constantly being written about across social channels and while some collect just a few posts a day, most of them have hundreds or thousands of posts written about them every week and the key question that each of them has asked has been “how do I manage all of the data that is written about my company?”

Regardless of position, I think everyone who is part of a social listening project needs to know how they can incorporate managing their Social Intelligence data into the rest of their already busy schedules.   My most successful clients have undertaken a strategy of smart listening which can be achieved with just a few steps.

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