With the total amount of data captured and stored doubling every 1.2 years, large-scale data analysis might seem like an ever-growing challenge, but the best have shown that the right data management plan can turn any amount of unstructured data into clean, complete, and real-time information streams that tell salespeople when and how to act.

The most successful companies are using data to get closer than ever to their customers. Instead of relying on the salesperson to qualify a prospect by asking questions, these organizations are empowering their sales teams with actionable customer information — wherever and whenever they need to do business. 

The key to gaining a competitive edge is real-time visibility. As the data silo has disappeared, so has its accompanying batch processing model. The best businesses rely on real-time ingest processes to clean data from different sources and funnel it downstream, ready to respond to questions as they arise.

Join us at the Sales Acceleration Technology Summit

Accelerating the sales cycle with data science isn't just about querying against a database or pulling together quotes quickly though, it requires anticipating customer behavior.

A healthy analytics initiative should mature from a diagnostic model that shows why actions led to certain outcomes, to prescriptive model that informs salespeople when to engage with the prospect — ideally before they know they're ready to take the next step in the conversation.

To see how prescriptive analytics can give you an edge in your next sales cycle, join us at the Insidesales Sales Acceleration Technology Summit. Eric Berridge, and InsideSales President Jim Steele, will take the digital stage among other industry leaders in Sales and Marketing.

Register for free today.