Using Data to Make Decisions
What questions can data answer for your business? infoFluency helps clients transform data into actionable insights, so they can make decisions.
How can we improve profitability?
In an effort to enhance profitability, a forward-thinking company strategically analyzed its product portfolio, discerning the varying levels of profitability among its services. Armed with this insight, the company made decisive product decisions by discontinuing its least profitable services and redirecting resources towards the most lucrative ones. This strategic pivot not only streamlined operations but also catalyzed significant business growth, as the company capitalized on its core strengths and optimized its offerings to align with market demand, ultimately achieving sustained financial success.
Which segment of our customers is driving the most revenue?
Through data analytics, a company segmented its customer base, utilizing insights to implement account-based marketing and sales strategies. This personalized approach, tailored to individual preferences and behaviors, optimized resource allocation and significantly improved engagement and conversion rates. The result was enhanced revenue, demonstrating the power of data-driven decision-making in customer-centric operations.
How can we automate our data driven processes?
A sales enablement company revolutionized its operations by transitioning from a labor-intensive monthly commission calculation process to a streamlined, data-driven automation approach. This shift not only saved significant time but also allowed the company to redirect its valuable human resources towards more impactful and strategic tasks. Through manual process automation, the company not only improved efficiency but also optimized resource utilization, fostering a more agile and productive work environment.
What are key drivers and seasonality in our sales?
A company harnessed the power of revenue data to transform its sales forecasting process, incorporating insights into sales trends, seasonality, and key drivers like industry and lead sources. By adopting a data-driven approach, the company gained a more accurate and nuanced understanding of market dynamics, enabling proactive decision-making. This enhanced forecasting not only improved sales predictions but also provided valuable strategic insights, allowing the company to align resources effectively and capitalize on emerging opportunities in a dynamic business landscape.
Where should our next office be located?
A company strategically pursued geographical expansion by establishing a new facility in a highly strategic location. Through careful analysis of market dynamics, logistics, and consumer demographics, the company identified an optimal site that maximized operational efficiency and market reach. This expansion initiative not only facilitated improved supply chain management but also positioned the company to better serve its target audience, ultimately leading to increased market share and business growth.