Data and Analytics as a Line of Business

[Video introduction] By the end of this workshop your team will have a sound understanding of how data and analytics can expand, enhance and strengthen your business and your relationships with clients. You’ll have some practical guidelines for strategy, messaging and design which can get you started on your own analytics journey.


Learning objectives

  • The nature of data as asset
  • The importance of analytics to realising that value
  • Ways in which data and analytics can be developed as a line of business
  • Simple models for data and analytics as a line of business
  • The value of benchmarking
  • How to encourage and support internal and external communities
  • How to be strategically more agile when creating data and analytics lines of business
  • Addressing ethics and governance concerns.


Course Description

1. Introduction: Data as a resource, analytics as a differentiator

We believe that data without analytics is a wasted resource; analytics without action is a wasted effort. We review the value of data to software companies and the potential for analytics as a new line of business.

 2. Case studies

Real-world examples of software companies who have developed analytic products and services using a gameplan methodology.
3. Three simple models to get you started

Although there are many ways in which you can leverage data as a resource and analytics as an offering, we have found three to be relatively easy and effective to start with. We’ll review the components and technologies of each, with some guidelines for success and pitfalls to avoid.

  • User dashboards
  • Predictive analytics and alerting
  • Benchmarking and associative analytics

4. Communities of practice and tools of choice

When you introduce analytics as a line of business, users and their social interactions, whether in the office or online, will be critical to your success. We show how communities of practice develop around the tools we choose – and we describe how to ensure your tool is chosen.

 5. Governance and privacy

In any discussion of data and analytics today, concerns about privacy and compliance always come to the surface. We’ll introduce the subject with enough detail for you take the first, important, practical steps to being well governed for today’s regulatory environment.

 6. Narratives and gameplans

These are simple tools for mapping and aligning strategy. However, although simple, they offer subtle and effective capabilities for planning features and releases and for aligning teams such as marketing and management around a vision.


Who’s it for? 

  • CIOs, CTOs, analytics leaders and data management leaders
  • Data scientists, and data analysts.