THE DATA'S IN THE DETAILS
As service organizations recognize the importance of utilizing their data, a new trend is emerging: data-driven business cultures. Leaders want to rely less on hunches and intuition to solve looming finance, operations, sales, and customer issues — and they are looking to gather insights and context directly from their own data.
In today’s service landscape, success means predicting and preventing issues before they arise. Organizations need a solution that accepts data from different sources, interpets it, and returns tailored insights that addresses the needs of their different personas.
On the surface, business intelligence (BI) tools seem to help with visualization and the ability to keep tabs on certain metrics. But they aren’t robust enough to capture the entire service lifecycle, improve customer experiences, and inform proactive service models.
TODAY'S BI TOOLS:
Struggle to produce reports and dashboards due to poorly structured data
Lack the ability to account for data scattered across systems, field notes, customer comments, or even the minds and habits of seasoned technicians, resulting in inaccurate analyses
Offer one-sided observations informed solely by historical data
Fail to paint an accurate picture of current service landscapes
Are unable to predict future events
Can only be operated by a team of data scientists