Notes about Cutting-Edge Technologies and Everything

    Central to treating data as an asset, data monetization should align with familiar research and development (R&D) and product management/marketing approaches. Not to oversimplify the many challenges and activities involved in monetizing data, certain basic concepts will reap significant rewards if executed well.  Evolve from Data Project Management to Data Product Management Although you may already have a data leader such as a chief data officer (CDO), or an analytics leader, the first step toward data monetization is to designate a team tasked with identifying and pursuing opportunities for and generating demonstrable economic benefits from available data assets. They may report to a data and analytics executive, into the enterprise architecture group, a chief digital officer, or perhaps even a business unit head.  Creating a distinct, dedicated data product management role is vital especially when business and data leaders agree on pursu...

Why Read This Report In our 30-criterion evaluation of value stream management (VSM) providers, we identified the 11 most significant ones — Atlassian, Blueprint, CloudBees, ConnectALL, Digital.ai, GitLab, IBM, Plutora, ServiceNow, Targetprocess, and Tasktop — and researched, analyzed, and scored them. This report shows how each provider measures up and helps application development and delivery (AD&D) professionals select the right one for their needs. Strong interest in VSM is driven primarily by three roles: 1) product owners and/or program managers who need data to help drive strategies, set priorities, and unlock team potential; 2) development leaders who use VSM to create connected, automated, and self-governed CI/CD pipelines with observability for improving and accelerating the pace of delivery; and 3) release engineers who use VSM for governance, compliance, and upstream observability to manage risk. (see endnote 3) To serve these roles effectively, customers should look f...

What is the difference between Design Thinking, Lean Startup and Agile? I often get asked what the difference is between those terms. “Is lean startup opposite of design thinking? oh no, maybe it is the same?” and “Ah ok, so you mean agile?” or “I think Agile is a better word for it”. Those are some of the comments I get whenever I talk about one of terms above. I will hereby try to clarify what these terms relate to, and how they can be integrated with each other. Design thinking Design thinking is an iterative process in which we thrive to understand the user’s pain, challenge assumptions, redefine problems, in order to create new strategies and solutions. Opposed to “Brainstorming”, Design thinking promotes “Painstorming”, in order to fully understand the user’s pain. The usual Design thinking phases are the following: Empathize with your users Define your users’ needs, their problem, and your insights Ideate by challenging assumptions and creating ideas for in...