Part 3 of the SmarTrak series looks at why useful AI begins with accurate, organized and connected customer data.
AI can only be as useful as the data behind it.
In Part 3 of our continuing Technology Reseller News podcast series with SmarTrak, Jay Pearce and I focus on one of the most important – and often overlooked – steps in getting ready for artificial intelligence: cleaning up the data first.
For Cisco partners, critical customer information can be spread across contracts, subscriptions, renewals, installed assets, adoption records and other systems. When that information is fragmented, incomplete or inconsistent, even sophisticated AI tools may have difficulty producing useful recommendations.
The conversation looks at why AI readiness is really a data-readiness issue. Before partners can rely on AI for forecasting, automation or identifying opportunities, they need a reliable foundation that gives the technology a clear picture of the customer relationship.
That means bringing information together, improving accuracy and making sure the data reflects what customers own, what is approaching renewal and where activity is taking place across the lifecycle.
Clean, connected data can also give partners better visibility before AI is added. It can make it easier to spot gaps, prepare for renewal conversations and understand where additional services or customer engagement may be needed.
The larger point of the episode is simple: do not begin an AI strategy by asking what AI can do. Begin by asking whether the underlying data is good enough for AI to work with.
As Cisco partners look for practical ways to use AI across customer success, renewals and lifecycle management, getting the data foundation right may be the most important first step.
This is Part 3 of the SmarTrak series on helping Cisco partners strengthen lifecycle visibility, improve renewal readiness and uncover new opportunities across the customer relationship.
Podcast: Clean Data Before Artificial Intelligence
Series: SmarTrak for Cisco Partners