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Unstructured Data

How To Create A 360-Degree Customer View Using Data

January 19, 2017 by Mark Ross-Smith

How valuable would it be to know everything about your customer’s interactions with your competition? Creating a 360-degree customer view is considered the holy grail of customer intelligence, and you can create it, today.Would you like to know how much they’re spending, when they’re spending, why they’re buying with the competition and...[read more]

Dark Data: The hidden billion dollar opportunity

December 29, 2016 by Mark Ross-Smith

Every organization collects, stores and retains portions of dark data. It’s the digital equivalent of emotional baggage which hangs around after every user interaction, transaction, and customer engagement.In fact, not using data effectively is costing United Airlines almost $1 Billion annually in lost revenue.Gartner Inc....[read more]

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5 Dark Data Sources that Lead to Better Marketing Analytics

August 29, 2016 by Jon Pilkington

Marketers have greater opportunities to reach target audiences today than ever before. There are endless ways to engage with prospects and customers thanks to the plethora of marketing channels, solutions, and approaches now available. And, when it comes to marketing analytics, the volumes of data these tools generate provide immense...[read more]

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Long Live KPIs: Innovation is the New Black

July 12, 2016 by Melissa Thermidor

When you think of creativity and community, the last thing that comes to mind is a Key Performance Indicator - just writing that out made me feel completely dead inside. They've been around since the stone age, yet they remain the same and we continue to bang on about how important and necessary they are every chance we get.[read more]

How to Segment Your Customer Database (Frequent Flyer Edition)

July 1, 2016 by Mark Ross-Smith

Step by step guide on implementing a customer segmentation solution - without paying millions of dollars for an enterprise platform.Customer micro-segmentation is without a doubt one of the most powerful methods for extracting value from your database, and a must for every frequent flyer loyalty program.  Segmentation...[read more]

For Successful Data Governance Avoid These Mistakes

May 31, 2016 by Jason Parms

One important rule in data governance is to take your time to make sure you do everything right. It might call for patience and consume a lot of time but a phase-based approach will do the magic for your business![read more]

Dealing with Disruptive Data: Advancing BI Connectors and Integrating SQL and NoSQL Databases

April 7, 2016 by Sumit Sarkar

Don’t count on databases to have uniform data models. Far from it, you’ll find different databases storing data in a plethora of shapes and sizes. This leads to a number of challenges when it comes time for business intelligence (BI) professionals to pull useful data from non-uniform database structures. The developers building applications versus those building intelligence have vastly different preferences in how to access data.[read more]

Apache Drill vs. Apache Spark: What’s The Right Tool for the Job?

March 1, 2016 by Jim Scott

If you’re looking to implement a big data project, you’re probably deciding whether to go with Apache Spark SQL or Apache Drill. This article can help you decide which query tool you should use for the kinds of projects you’re working on.[read more]

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No Time to Waste! 5 Essential Features for Your Information Intelligence Solution

February 29, 2016 by Luca Scagliarini

Strategic information analysis is one of the most important activities that your company can perform. The fruits of this labor, especially when consolidated throughout the organization, inform everything from marketing and innovation, to risk management activities. To achieve this level of performance, you’ll need more than a simple...[read more]

Preparing Yourself to Move to Apache Spark

February 29, 2016 by Jim Scott

While MapReduce has been the mainstay of Hadoop processing, Apache Spark is now taking the throne as the way to handle distributed computation. The reasons are obvious: Spark is very fast due to its use of Resilient Distributed Datasets, or RDDs, and it has a clean programming model.[read more]

What Are Accumulators? A Must-Know for Apache Spark

February 27, 2016 by Jim Scott

If you’ve been using Apache Spark, then you know how awesome the Resilient Distributed Dataset (RDD) is. This data structure is essential to Spark for both its speed and its reliability. There are a couple of concepts that make Spark even faster and more reliable when run over large clusters: accumulators and broadcast variables.[read more]

A Guide to Spark Streaming - Code Examples Included

February 25, 2016 by Jim Scott

Apache Spark is great for processing large amounts of data over large clusters, but wouldn’t it be great if you could process data in near real time? You can with Spark Streaming.[read more]

NoSQL Databases: 4 Game-Changing Use Cases

January 13, 2016 by Jim Scott

Sure, you’ve heard about NoSQL, but is it just another technology fad that’s all hype? What can you actually do with a NoSQL database? With the performance and scalability that NoSQL offers, especially MapR-DB, the only limit is your imagination.[read more]

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Is Big Data Winning or Losing?

December 9, 2015 by Josh Rose
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Big data is now used everywhere. AT&T has a database of 312 terabytes, the NSA use 30 million gigabytes a day and Facebook user share 30 billion pieces of content daily. There is big money and big opportunity in big data. Huge scale tools are being created all the time to benefit our existence and to make our lives easier. However these tools can sometimes be easier to cheat than other systems.[read more]

Comparing Data Science and Analytics [INFOGRAPHIC]

October 23, 2015 by Taylor Meadows

Big data is increasingly viewed as the new currency in business—and making the most of the value it holds is the key-to-the-kingdom that organizations are seeking to optimize business results. In order to do that, they need the right experts to fill the big data gap within their organizations. But who are those experts?[read more]