Unstructured Data

What's your data story? 

My colleagues and I had the opportunity to represent Attivio at the recent Tableau 8 Roadshow as a partner vendor. Unlike some BI events I have experienced over a number of years, the Tableau 8 Roadshow attendees were very much user-based rather than IT-focused.[read more]

perception gap

Consumers believe Sears is just for tools and electronics; is this the perception Sears wants to portray? What is Kroger doing better than others are? Walmart tweets way more frequently than other brands, and consumers reciprocate. 4 brands, 1 week and 100,000 Tweets: this infographic lays it all out for you.[read more]

Apple's iWatch

Apple's next big innovation - a watch - will provide massive fuel for big data analytics. Wearable devices such as an iWatch will allow all of us to measure and quantify ourselves, which in turn generates massive opportunities for big data analytics on a global scale.[read more]

the original data warehouse / shutterstock

I was thinking about the traditional notion of data warehousing as the increasing accumulation of data, distributing information across the organization, and providing the knowledge necessary for business intelligence. But is an enterprise data warehouse the Enterprise Brain?[read more]

business intelligence / shutterstock

Managing vast amounts of data within internal systems has always been a challenge. But with the rise of the cloud, social media, mobile devices and other technological innovations, organizations are now expected to keep track of everything on the internet as well.[read more]

Big data/shutterstock

Lots of data does not necessarily equate to “Big Data." To my way of thinking, the single most important capability to implement in any large scale data platform that is going to support sophisticated analytics is the ability to quickly construct, high quality random samples.[read more]

unstructured data/shutterstock

My contrarian’s view of unstructured data: it is, in large part, gigabytes of gossip and yottabytes of yada yada digitized, rumors and hearsay amplified by the illusion-of-truth effect and succumbing to the perception-is-reality effect until the noise amplifies so much that its static solidifies into a signal.[read more]

big data-driven hotel/shutterstock

The InterContinental Hotel Group is collecting massive amounts of data across its seven brands. In recent years, IHG has embraced the use of advanced analytics. They moved from a structured dataset to a big data solution analyzing both unstructured and structured data in real-time.[read more]

Big Data and CRM

Customer Relationship Management has always involved data, but most of it used to be structured data; new techniques make it possible to process, store and analyse massive amounts of unstructured data as well, which means CRM can finally become a true revenue driver.[read more]

big data endgame/shutterstock

We’re hearing a great deal these days about Big Data and related terms, one of which is Big Data analytics. But I’m a bit skeptical of it: is the focus on Big Data? Analytics? Both? I’d actually argue that it should be neither. That is, “BDA” is just a means towards the normal business end.[read more]

Big data analytics give us unprecedented power to leverage the ever-increasing volumes of data. Now combine this with robotic technology and you could see 'big data enabled robots' challenging us for almost any of our jobs - including knowledge worker jobs![read more]

SQL is a database query and programming language for retrieving, updating, and managing the data from relational database. Nowadays, SQL is a basic requirement for every programmer. However, there's a disadvantage: SQL is especially designed for technical personnel.[read more]

analytics/shutterstock

Facebook has admitted to a major bug in Insights that resulted in inaccurate data. But the social analytics problem is the second bit of evidence that Facebook is struggling with making its own massive data store. Facebook engineers also admitted struggling with Graph Search.[read more]

Many organizations are on “Big Data Holy Grail” quests, looking to deliver game-changing business analytics, only to find themselves in a “boil-the-ocean” Big Data project that “has no real value.” They shouldn't be rushing into hasty Hadoop implementations.[read more]

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It’s critical for companies to listen to the countless individuals and groups consistently broadcasting about their business, solutions, service, employees, decisions and brand. To be a "good listener," companies need an advanced social intelligence solution.[read more]