Table of contents for Becoming Predictive
- Embedding predictive analytics in your software product: A series
- Predictive Analytics in Software Step 1: Focusing on Decisions
- Predictive Analytics in Software Step 2: Focusing on automation
- Predictive Analytics in Software Part 3: Automation that scales
- Predictive Analytics in Software Part 4: Land and Expand
To become predictive, to use predictive analytics to differentiate a software product, you need to identify the decisions that can be made more profitably, more accurately, more precisely or more reliably. Unless the predictive analytics embedded in your product improve some decision-making then they will offer no real value. At best such analytics will be relegated to checking off the “does the product use predictive analytics” check box.
- Be Specific
Not all decisions are going to be equally impacted by predictive analytics and it’s important to rapidly identify some clear opportunities. Quick wins, low hanging fruit, will establish the value of predictive analytics and show momentum. Suitable decisions are going to be action-oriented, valuable, measurable, data rich and repeatable.
- Manage or support
Having found a suitable decision the next step is to decide if it will be managed by the software or made by the user and supported by the software—decision management or decision support. Successful use of predictive analytics in decision management, decision support or blended use cases alike requires a clear understanding of the decision. Identifying the decision, breaking it down into its components and identifying the information and knowledge required to make the decision will be required in every case.
Predictive analytics can be complex to build and to understand but they should not be complex to consume. This means that regardless of the approach taken, whether decision management or decision support, the product must use predictive analytics to deliver a simple interface.
A valuable prediction is one that improves decision making over all. The costs and benefits of the actions that result from the decision must be considered.
And don’t forget micro decisions either.
For more on this topic you can check out this recording of a webinar I gave for the PDMA with Predixion Software on The Power of Embedded Predictive Analytics, get the white paper “Becoming Predictive” (registration required) or check out the Predixion OEM microsite.
Next week: Step 2: Focusing on automation