In part I of this two-part post, we learned why the IT architecture supporting modern business feels bloated when cloud computing was supposed to be a liberating, game-changing paradigm instead, and why it is critical to address this issue as soon as possible.
As football teams around the world enjoy their pre-season break, these can be exciting but anxious times. Especially for the teams and players making the step-up to play in a higher division after the success of promotion.
Your job description just changed.
Take a look around you – Big Data is no longer a buzzword. Data volumes are exploding and so are the opportunities to understand your customers, create new business, and optimize your existing operations.
No matter what your current core competencies, if you’re not a part-time data scientist now, you will be.
Hadoop's Big Data processing platforms feature two integration modes that correspond to different types of usage, but are being used interchangeably with increasing frequency. "Batch" or "asynchronous" mode enables the programming of typically overnight processing. Examples of using batch mode include a bank branch integrating the day's deposits into its books, a distributor using or updating a new product nomenclature, or a business owner consolidating sales for all branches for a given period.
Spaghetti alla Cloud? It’s what’s on the menu for most organizations today. With the explosion of popularity for SaaS applications, as well PaaS (Cloud platforms) and IaaS (Cloud Infrastructures), most IT architectures and business flows resemble a moving, tangled mess of noodles. I’m pretty sure that if you dig deeper, you’ll find some pretty old, legacy meatballs in there too.
When we last spoke, I talked about how Talend is working with data-driven companies to define and implement their One-Click data strategies. 1-Click, introduced by Amazon.com in 1999, allows customers to make on-line purchases with a single click – and is a showcase of how well they can turn massive volumes of shopper, supplier and product data into a customer convenience and competitive advantage.
I had cause to visit a self-service frozen yogurt wonder emporium on a recent visit to the U.S. It was delightful and, at first, a tad overwhelming – so many flavors to choose from, so many toppings. Needless to say, I over indulged (goodbye, ideal running weight). Based on the number of similar establishments I saw during the rest of my stay, people seem to like control and convenience of the self-service business model. And, whether you look at banking, booking travel, or personal tax filings, self-service or DIY certainly appears to be a broader trend.
When it comes to CMO’s, I’m about as data centric as they get. Early in my career, I worked as an economist for a consulting firm in Washington, D.C. I was happily awash in data and found myself analyzing such hot topics as the difference in prices of power tools in Japan and the United States.
Years later when I became a CMO, I thought to myself, “Here’s where I can use my love of working with lots of data to drive decision making and performance in marketing.” I was in for a rude surprise – the data spigot was badly broken.
Many classic detective novels progress in a familiar way: the hero, Hercule Poirot or Miss Marple for instance, has an incomplete understanding of how the crime played out and must painstakingly collect information from witnesses - filtering out lies from truth - until the big picture falls into place. In Agatha Christie’s best-selling novels, such as Murder on the Orient Express, this often leads to bringing all the characters together in the same room for the “reveal”.