Analytics

  • Data Science vs Big Data vs Data Analytics

    Do you know the difference between a Data Scientist and a Data Analyst? To be honest, before I started doing research for this post, I’m not sure I really knew either.

  • How to Make Your Marketing Big Data Payoff

    With the growth of Big Data tools and technologies, the state-of-the-art in marketing is rapidly evolving. Business Intelligence (BI) solutions have become synonymous with online marketing thanks to new software applications used to analyze an organization's raw data. Instead of traditional campaign planning and KPI-based analysis, marketers now have the power to fully track individual customer journeys and understand the impact of each interaction on business outcomes. Unlocking access to such granular levels of data gives marketers the opportunity to do what they do best: Ask "How can I improve the experience of my customer and the outcome to my business?" BI that is purpose-built for Big Data is the best way to visualize large datasets over time and allows data-savvy marketing professionals improve customer interactions by learning from and iterating faster on their marketing initiatives.

  • Is Big Data Still a Big thing?

    In a tech startup industry that loves its shiny new objects, the term “Big Data” is in the unenviable position of sounding increasingly “3 years ago”. While Hadoop was created in 2006, interest in the concept of “Big Data” reached fever pitch sometime between 2011 and 2014. This was the period when, at least in the press and on industry panels, Big Data was the new “black”, “gold” or “oil”.

  • IT teams want to simplify big data analytics process

    Companies such as Yahoo, Merck, Macy's and eBay have moved to clear obstacles that were blocking the path to success with big data analytics applications.

    Even with the expanding array of advanced analytics tools now available for use, analytics teams still face plenty of challenges in developing big data applications and getting useful information from them.

  • Marketers and Big Data: Barriers, Budgets, and Opportunities

    Half of marketers are enthusiastic about the role of Big Data in marketing, and another 31% are cautiously optimistic, according to a recent report from Infogroup Targeting Solutions.

    The survey of 370 marketers who attended the DMA Annual Conference and Exhibition found 14% are uncertain about the role of Big Data, 3% are tepid regarding it, and just 1% are disillusioned.

  • The Impact of the Internet of Things on Big Data

    The Internet of Things (IoT) is on its way to becoming the next technological revolution. According to Gartner, revenue generated from IoT products and services will exceed $300 billion in 2020, and that probably is just the tip of the iceberg.

  • Wearable technology will up the game for sports data analytics

    Wearable technology is a big industry thanks to the ‘quantified self’ movement. It’s now giving a boost to professional sports data analytics professionals

    Imagine watching a game of football where both managers are making decisions on what substitutions to make and when, based on live data taken from players showing what their fatigue levels are like.

  • What is the Big Data Moment of Truth Model and its Decision Making Quadrants?

    In this new era where Big Data is starting to have a big impact on economy; something I called Bigdatanomics in my doctoral thesis (SARSAR, 2015); practitioners are seeking new levers to drive fast (h1), proactive (h2) and or better decisions (h3).