- Data Science for Business – O’Reilly Radar
Quote: Data analytic thinking means knowing what questions to ask, how to ask those questions, and whether the answers you get make sense. Business leaders don’t (and shouldn’t) do the data analysis themselves. But in this data-driven age, it’s critically important for business leaders to understand how to work with the data scientists on their teams. In today’s business world, it’s essential to understand which algorithms are used for different applications, how statistics are used to create models of human and economic behavior, overfitting and its symptoms, and much more. You might not need to know how to implement a machine learning algorithm, but you do need to understand the ideas the data scientists on your team are using.
- Why it’s way too early to dismiss big data’s economic impact — Tech News and Analysis
Quote: A recent New York Times article casts some doubt on the economic impact of big data. Here’s why I think we haven’t seen anything yet when it comes to big data and the global economy.
- The Danger of Marketing Automation
Quote: Marketing automation does not infer nor permit you to do it and only it. In fact, marketing automation exists to make the necessary hard work, day-to-day interactions with your audiences easier to fulfill.
- “Clinging To The Familiar” | Partners in EXCELLENCE Blog — Making A Difference
Quote: Change is never easy, but if we become accustomed to continuous learning and improvement, we are more likely to be successful in recognizing the need to change and implementing it (small or big).
- Innovate on Purpose: Is your innovation a step, jump or vault?
Quote: Much innovation success is based on where you start – the energy you create, the experiences you have or build and the enthusiasm you muster or find within your organization. What outcomes do you want? Low hanging fruit, while easy to grasp, is often a false peak. Too many people spy the same fruit and end up recreating the common competition pool, while far too many good opportunities go missing because they require more energy and experience than a simple step.
- Dysfunctional Competition, the Knowing-Doing Gap, and Sears Holdings – Bob Sutton
Quote: In short, when I want to know if an organization rewards or punishes cooperation, the diagnostic question I ask is "Who are the superstars around here? Are they the selfish people who stomp on others on the way to the top? Or are they the people who do great work AND who use what they know to lend a helping hand to others?"
- Every Marketing Problem is a People Problem – Brains On Fire Blog
Quote: A company suffers from sluggish sales growth because not enough people are buying. A business experiences low retention rates because not enough people are buying repeatedly. A brand reeling from poorly conceived products and programs doesn’t have enough people interested.
- Big data is a bubble? Don’t tell that to these guys — Tech News and Analysis
Quote: It’s natural to hear all the hype about big data and sense a bubble is forming, but the speakers at this year’s Structure: Europe conference have proven it’s for real — and they know how to make it happen.
- Hey Silicon Valley! Not every problem can be solved by giving people internet access or teaching them to code — Tech News and Analysis
Quote: A Facebook initiative to give internet access to people in underdeveloped countries, and a proposal to teach a homeless man to program — two examples of a kind of tone-deaf mindset about how to fix the world’s problems.