December 26th at my house was probably a lot like it was at yours: We ate leftovers; we binge-watched shows we’d missed earlier this year; and we played with toys. Not kids’ toys—tech toys. The one we played with most is also the one I spent the most time researching before I bought it: the 3D printer.
Between printing demo pieces and whistles, I checked out my favorite sites to see if any new stories had been posted over the holiday. One of them appears to have implemented a cookie-based content targeting strategy, as both its tech and design sections were packed with headlines about 3D printing. I was pleased to see this attempt at relevance, but it failed in my case. Why? Because it was too one-dimensional.
By just looking at my recent cookies, an automated system could conclude that I’m interested in 3D printing in the abstract. But in fact, I was just trying to learn everything I could in order to make the most informed purchase. If the targeting strategy had taken into consideration the timing of those cookies (I only ever dug into the topic between Thanksgiving and the second week of Dec), my affinity data from Facebook and other social networks, and my long-standing content habits, I would probably have ended up with headlines related to smartphones, tablets, and wearables: things I’m more interested in now that my Christmas shopping is done. 3D printing headlines may have seemed more relevant, but they didn't get a single click from me.
But what are the trends, and what are the best practices?
We are hearing from all the pharma stakeholders four stories that are driving the questions that are being asked of the data:
Pharma needs to get away from its focus on molecules and pivot to a holistic view of disease. As per a senior IT manager at a major pharma in a meeting with me last week: "We have to deliver whole solutions, and not just pills."
Pharma needs to understand prescribing behavior in the formulary and in the physician's office better in order to influence it and thus drive sales. As per a senior marketing manager from a meeting recently: "In the old world, we just sprayed and prayed," meaning that the marketing campaigns aimed at the physician did not discriminate as to who that physician was.
Genomic-based drugs are driving changes though the amounts and types of data that the industry must manage.
I’m sitting on my sofa at home (Yes! Home!) on Sunday morning just before Christmas. I’m “shut down” for the holidays now, but of course, I’m watching Twitter and now listening to my brilliant friends Chris Dancy and Troy DuMoulin discussing CMDB (configuration management database) on the Practitioner Radio podcast. It’s a marvelous episode, covering the topic of CMDB in with impressive clarity! I highly recommend you listen to their conversation. It’s full of beautiful gems of wisdom from two people who have a lot of experience here – and it's pretty entertaining too!
I agree with everything these guys discussed. In particular, I love the part where they cover systems thinking and context as the key to linking everything conceptually. I only have one nit about this podcast, and the greater community discussion about CMDB, though. Let’s stop calling this “thing” a CMDB!
I coauthored a book with the great Carlos Casanova (his real name!) called The CMDB Imperative, but we both hate this CMDB term. This isn’t hypocritical. In fact, we make this point clear in the book. Like the vendors, we used CMDB to hit a nerve. We actually struggled with this decision, but we realized we needed to hit those exposed nerves if we were going to sell any books. Our goal is not to fund a new Aston Martin with book proceeds. If so, we failed miserably! We just wanted to get the word out to as many as possible. I hope we've been able to make even a small difference!
The majority of large organizations have either already shifted away from using BI as just another back-office process and toward competing on BI-enabled information or are in the process of doing so. Businesses can no longer compete just on the cost, margins, or quality of their products and services in an increasingly commoditized global economy. Two kinds of companies will ultimately be more successful, prosperous, and profitable: 1) those with richer, more accurate information about their customers and products than their competitors and 2) those that have the same quality of information as their competitors but get it sooner. Forrester's Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012 (we are currently fielding a 2014 update, stay tuned for the results) survey showed that enterprises that invest more in BI have higher growth.
The software industry recognized this trend decades ago, resulting in a market swarming with startups that appeared and (very often) found success faster than large vendors could acquire them. The market is still jam-packed and includes multiple dynamics such as (see more details here):
All ERP and software stack vendors offer leading BI platforms
. . . but there's also plenty of room for independent BI vendors
Departmental desktop BI tools aimed at business users are scaling up
Enterprise BI platform vendors are going after self-service use cases.
Cloud offers options to organizations that would rather not deal with BI stack complexity.
Hadoop is breathing new life into open source BI.
The line between BI software and services is blurring
Japan remains the second-largest tech market worldwide after the US and accounts for a massive 40% of total IT spending in Asia Pacific. Japanese companies devote most of their annual IT budget and staff — 70% to 80% — to maintaining existing back-end infrastructure and applications. But we expect this budget to shift rapidly over the next two to three years as local organizations embrace disruptive technology innovations in their efforts to succeed in the Age of the Customer.
Japan’s technology spending will show modest growth of 2% in 2014. Thanks to the positive economic impact of the government’s stimulus package and the depreciation of the yen, enterprise IT spending will likely grow by 3.7% in 2013. However, due to the consumption tax increase planned for April 2014 and the waning effects of the stimulus package, Forrester expects IT spending growth to slow to around 2% in 2014, driven by large application modernization projects in banking, manufacturing, and the public sector.
I regularly hear CIOs and IT suppliers discussing the “four pillars” of cloud, social, mobile, and big data as if they’re an end in themselves, creating plenty of buzz around all four. But really, they’re just a means to an end: Cloud, social, mobile, and big data are the tools we use to reach the ultimate goal of providing a great customer experience. Most CIOs in Australia do understand that digital disruption and customer obsession are the factors that are changing their world, and that the only way to succeed is to embrace this change.