The “technical co-founder” model is dead, and building awesome tech isn’t a one-person job anymore. Below is a practical blueprint for building a minimal product team for your venture.
Have you ever heard the following conversation?
Q: “What’s your plan to build your app?”
A: “I’ve got a guy!”
I have. It’s too common and it haunts start-ups and large companies alike, echoing through their later efforts to refactor, rebuild, or redesign their product because of early mistakes made while launching an MVP.
That fateful conversation is also representative of a common oversimplification of building software products and a reckless commodification of the talent that builds them; in other words, to think that some guy (or gal) can build great technology for your company, solo, is simply unrealistic these days. Tech and design have advanced to levels of complexity and nuance beyond what one person can handle. The overly-romanticized “technical co-founder” of tech’s youth is gone and done, and we need a better way to think about building product teams.
To put product development strategy into a more rational lens — and to stop equating its difficulty to that of assembling IKEA furniture — we created the MVPT, a functional blueprint for building a lean software development team (T) that can produce an exceptional MVP.
MVP + T = MVPT. Get it? Nevermind, let’s move on…
In 2018 it is pretty standard that all companies have at least some sort of Business Intelligence Initiatives ongoing. But, this doesn’t imply that all add value to their organizations through data-driven insights. With that said, there are key things to be aware of when on the never-ending journey that is Business Intelligence. Here are our top 7 essentials of a successful business intelligence strategy.
Orlando FL – Pandera Systems, a global provider of information delivery solutions and analytics innovation consulting company has announced its partnership with the Southern Data Science Conference. This partnership will bring a robust roster to Orlando, Florida on October 17th and 18th for two days of cutting-edge discussions, workshops and networking at the Renaissance Orlando at Seaworld. This innovative, single track conference has drawn attention from around the World and will boast speakers from both top data science companies, like Google, Facebook, Microsoft, etc., and top research institutions, like Allen Institute for Artificial Intelligence, UCF, and more. These speakers have been selected based upon their outstanding contributions to the data science community and we are ecstatic to bring them all under one roof. Beyond that, we are extremely fortunate to have such great community support from the City of Orlando, University of Central Florida, South Big Data Hub, and Orlando Tech and Beer.
SAN JOSE, Calif.– Adobe (Nasdaq:ADBE) announced a few weeks back that it has entered into a definitive agreement to acquire Magento Commerce for $1.68 billion. This acquisition seems to follow a growing pattern where large technology companies who focus on enterprise clients acquire eCommerce platforms. What does this mean? Simply put, disparate solutions won’t cut it in a sophisticated and competitive marketplace and the big players know it.
Boston, MA – My name is Brian O’Connor, and a year ago I made the decision to change my career and enter the innovative world of Data Analytics. Everyone wants to provide value and feel useful. Unfortunately, in your typical banking role that is not always the case. Seeing no growth path and lacking the feel of bringing actual value to my clients, I made the decision to enter the Level Education boot camp. Since then, I have been brought on the Pandera Systems team as a Business Intelligence Analyst and couldn’t be happier with where my career is heading (not to mention the value I am providing to my clients). I was honored to give a speech this past Friday at a Boston WeWork to a group of potential students interested in making the leap into the data analytics space.
Challenges of Creating an Effective Customer Journey
Providing marketing ROI through conversions and, ultimately, customizing each user journey at scale has been a constant challenge for years. Customers are utilizing multiple channels each day, adding extra touch points and therefore data that needs to be analyzed to architect an effective marketing strategy. Fortunately, planning and proving marketing results has never been easier than it is today. By analyzing and weaving together touch points in a deliberate manner, marketing ROI, and more importantly, conversions, are finally within reach. Through journey analytics, companies are capturing and acting on “Micro-Moments” that were previously unseen in a proactive and time-sensitive fashion – adding millions to their bottom lines. With all this value, why aren’t all companies doing it? Simple – it’s easier said than done. Here are the top challenges businesses are faced with when trying to architect effective, data-driven customer journeys at scale:
They say history repeats itself. As a case in point, data center consolidations eventually stifle innovation and push for a rebadge of innovators. It has taken a long time to undo these efforts, so don’t make the same mistake. Transparency into all your of your different systems as they interact with the cloud is essential to constantly innovate. Unfortunately, not all cloud providers are created equal nor have good intentions. Keep these few things in mind: