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Analytics Interactive helps manufacturers of complex analytical software maximize adoption by current and prospective customers.
Our services aim to avoid typical adoption problems such as:
  • Difficulties in communicating the value proposition
  • Inappropriate model inputs and outputs
  • Knowledge gaps among different stakeholder groups
  • Resistance to business process change

Our mission is to help companies build more usable models, increase demand for model results, and to create lasting change in customers’ organizations, ensuring that model results become an integral part of the decision processes they support.

To ensure that the recommendations provided by your software’s analytics become an integral part of your customers’ decision processes, you need to focus on user adoption during all phases of your product’s life cycle.

Whether your organization is a software company that sells analytical software, or a consulting company that builds custom decision support models, our services will bring a rigorous customer focus to your design and implementation.

Our Services

Key challenges in developing, selling, and implementing analytical software
If your organization develops, sells, and implements software based on sophisticated analytical models, you face a unique set of challenges:

  • The methodologies used in the underlying models often surpass the skill level of the targeted end users, resulting in usability problems and inaccurate interpretation of model inputs and outputs.
  • Successful selling of analytical software requires communication of both business process benefits as well as technical concepts to different audiences of evaluators and decision makers within an organization.
  • Model design choices are often made early in the development process, before a thorough understanding of the end users’ capabilities and data availability has been attained, yet these choices have long-lasting implications for the ultimate success of the application in the field.
  • Implementation and adoption of analytical software requires effective change management techniques, including substantial business process changes for end users and their management.