When CRMs are filled with dirty data, it’s impossible to move forward – but AI can help…
Jody Glidden, Chief Executive Officer and Co-Founder, Introhive
It’s the age-old question. Which came first: the desire for data or the technology and tools to gather it? As the world of business moves forward, one thing is for sure: finding ways to uncover trends in data and turn that data into actions that can drive revenue and help businesses grow is critical. And our collective appetite has never been greater. One of the most used tools in business today is the customer relationship management (CRM) tool – the digitised version of a Rolodex with the propensity to be a company’s secret weapon for revenue growth.
But it could also be its downfall.
Historically, business leaders have had to rely on hunches – those gut feelings sharpened over years of experience and trial and error – to make business decisions, and have danced with risk and reward for employees to engage with their CRM platform. Often, companies fail to realise a return on their CRM investment as employees neglect to update records.
When CRMs are filled with inaccurate or incomplete data, revenue teams and business leaders must struggle to sort through the mess and make critical business decisions without seeing the full picture. Although companies made it work in the past, more and more business leaders today seek ways to improve their processes and customer data quality through technology.
Artificial intelligence-powered tools are rapidly becoming a must-have for businesses in today’s knowledge economy. There has never been a time when we’ve had access to more information and the race for innovation is fast-paced across all industries. By leveraging AI and machine learning, businesses can make sense of the scads of information captured in their CRM, uncover trends, and make better business solutions.
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