At Q4, we believe the use of behavioral analytics has the profound potential to connect the markets in ways we haven’t yet seen. It enables an IRO to deliver personalized experiences at scale to its diverse group of stakeholders and potential stakeholders that stretch far beyond current investors.
But we also understand that adoption isn’t always easy. In fact, without establishing the data-driven building blocks that enable success, behavioral analytics programs can deliver lackluster results.
This short guide identifies the main stages to prepare for and activate your triumphant behavioral analytics transformation.
Stage 1: Capture
Determine what data you need to utilize to fulfill your business, strategic, and/or financial goals. Locate or begin collecting the required data. While you’ll be able to locate many of the data sets you require easily, others may be a bit more tricky. In addition, you will likely encounter data sets of varying quality, so be sure to plan for data scrubbing activities in this step.
Potential concepts to address:
- Data, data sets, and data systems
- Data hygiene, data scrubbing, data quality, “clean” data
Stage 2: Connect
If your data lives in several different systems, the next step is to extract a selection of data sets from those systems and perform a manual analysis. Consider this your experimental phase and examine the quality of data and insights you’re obtaining when working with a more limited collection of data.
Potential concepts to address:
- Dashboard
- Legacy systems
- Siloed systems
Stage 3: Consolidate
Consolidate data sets from different systems into a single platform. This is the foundational basis for deriving business-transforming insights through the practice of behavioral analytics. Because this can be a complex step, it is a significant milestone in your journey.
Potential concepts to address:
- CRM/CRM system
- Data optimization
- Investor targeting
- Structured/unstructured data
- Virtual event
Stage 4: Synthesize
Combine data from multiple, seemingly incongruent data sets in order to analyze them in new ways and create unique insight. This is the core of behavioral analytics, and it should deliver a far more profound understanding of your stakeholder base than you’ve experienced before bringing your disparate data sets together in this way.
Potential concepts to address:
- Artificial intelligence
- Data analytics, business intelligence, and behavioral analytics
- Data modeling
- Machine learning
Stage 5: Action
Integrate your professional IR expertise with system-created insights to determine if, when, and how to take action. While the insights created in the previous stage are powerful, they can’t be effectively dispositioned without your discernment.
Want to learn more on this topic? Check out our additional blogs, eBook, and glossary.
Ready to get started on your behavioral analytics journey? Contact us.
