Your CRM is only as good as its data and the insights you derive, and AI can help surface and plot trends
Jody Glidden, Chief Executive Officer and Co-Founder, Introhive
Your business’s customer data is everywhere – in your teams’ email inboxes, calendars, IM platforms such as Slack and on social media – and, within those places, there are levels of data that offer invaluable insights into the relationships between an organisation and its network. And, in today’s knowledge economy, companies are seeking ways to make the most of this data to drive business forward.
For decades, companies relied upon their revenue-generating teams to manage their relationships manually, using Rolodexes and address books and logging notes in notebooks to be stored in filing cabinets. Aside from being time-consuming (and space-consuming!), this method of collecting and storing data was hardly conducive to gaining a 360-degree view of an organisation’s network. With today’s customer relationship management (CRM) tools, all of that information is stored digitally, and the data is readily available to be analysed and acted upon.
Problems arise when those CRM platforms are filled with inaccurate data, incomplete data and late data – the data that’s added after the fact, like past an end-of-quarter deadline – skewing trends and making it difficult to gain the actionable insights teams can use to drive business forward. If your team neglects to log their meetings, sales calls and important communications in CRM, or only logs some of the information, it’s impossible to see the full picture.
But seeing the full picture is more complicated than simply having complete data – it’s about pulling multiple data sources and levels of data together, uncovering patterns and surfacing trends and other insights that can help your team make better decisions. This is where a reliable tech stack comes in.
Learn more about how AI can help your business grow and request a demo today at www.introhive.ai
Podcast sting music credit: ‘Rising Images’ by Philip Guyler (PRS), Audio Network