• Road Mapping for Strategy and Innovation

    Jan 10, 2018
    A lot of IT Consulting and Services firms throw out a lot of terms like digital disruption or transformation. There is certainly a lot of change happening in the tech world today and that’s not terribly different then yesterday or the day before that.


    That’s why we decided to write a series of blogs and put some tools and templates out into the community to help get back to the fundamentals of proper planning and vision as it relates to IT strategy. Moreover, the challenges don’t lie in a bunch of tech buzzwords.


    The real challenge is time compression as a result of compounding technology innovation coupled with a shortage of talent and resources has forced business leaders into risky and confusing situations with applications, information, data, and systems. Without proper planning and vision, it is easy to waste your limited time, money, and resources on things that do not align with the goals and objectives of the business.


    Road maps identify key milestones:

    They manage something more valuable than money, time.

    They effectively communicate the capacity and ability to meet
    goals within a set time frame.

    Beyond wasted effort, the company typically incurs a large amount of technology and management debt during these failures that needs to be unwound. Slowing them down even more as the market continues to pick up speed based on the introduction of new technologies and automation.

    Many argue that roadmaps impede change or create inflexibility within the organization. These tools are not to blame. They must be consistently reviewed, challenged, and changed to meet the needs of the business. They should help enable and communicate the change, never holding it back. Managing change becomes impossible without a plan with clear objectives that align with valuable business outcomes.


    More to come. If you would like to sign-up to receive some of our templates, tools, and best practices Click Here.

  • Data Architecture Before Science

    Dec 18, 2017

    How an organization leverages it’s data and analytics to help drive towards strategic business outcomes is critical to achieving success today. 

    Business stakeholders clearly see the value and vendors like Microsoft have made enormous investments in their data and analytics platform with Azure: Machine Learning and AI in addition to Power BI.  Commonly we see the business investing hundreds of thousands of dollars in a data visualization tools and hiring “data scientists” shortly after the Tableau Account Executive leaves your offices.

    The problem is that this often leads to disappoint, rework, and loss of investment and time without starting with a solid data architecture and roadmap.

    Data Architecture Model, Business Strategy, Technical Road mapping

    Without a solid data architecture in place that aligns to your strategic business outcomes for data and analytics you won’t get very far with a data scientist and business translator. 

    If you look at the reference data architecture above you will see that those folks along with data visualization tools really only adds value within distribution and consumption of the data.  Maturing and moving past those self-service and prototyping scenarios becomes impossible without addressing the rest of it.  Making business critical things like machine learning and predictive analytics impossible to execute properly and efficiently.

     Click Here For your free Visio Diagram on Data Architecture.

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