A practical reference for commercial life sciences teams navigating the omnichannel landscape, this FAQ guide helps address the following questions:
- What do you mean when you say omnichannel intelligence?
- Does omnichannel NBA include field NBA?
- What’s the difference between long-term omnichannel optimization and “real-time” optimization, and which solutions are better suited for each?
- What is a realistic timetable for thinking about when my commercial operations can be truly omnichannel?
- How are NBA and CDP vendors different?
- Can AI and machine learning be effective if my data isn’t perfectly centralized and structured?
- When a vendor tells me they can publish NBA to my CRM, how should I evaluate the quality and the truth of that statement?
- My in-house analytics or data science team is working on an NBA or AI initiative as well. Is that redundant with what you do, or is there a “best-of-both-worlds” approach?
- Why wouldn’t I want a bespoke NBA solution that’s custom-built for my team? What are the advantages and disadvantages over time?
- Are there any limitations to the data sources I can integrate?
- Is building my own solution the only way to ensure my IP is protected?
Download the full Omnichannel FAQ Guide