While technology focusing on financial service providers exists for large corporations, no one else has demonstrated a proven predictive model for the small business market — until RAI Stone Group.
RAI Stone Analytics recently announced a software for financial service providers to develop growth strategies for SMB clients in record time. Using its powerful algorithms, financial service providers can analyze the gap between their customers’ current business performance and their goals, without spending hours collecting data, running ratios, or building spreadsheets. The cloud-based SaaS system provides financial service providers and their clients with clearly presented data that looks at past and present company performance, as well as to the future with predictive analytics.
“The SBA says that around a third of SMBs make it beyond their 10th year, often due to the fact that they rarely reach out for financial assistance until it’s too late or financial service providers are unable to spend the time and administrative overhead to assess their unique needs,” said Sam Zordich, CEO and Founder of RAI Stone Group.
75 percent of small businesses plan to increase their investment in big data analytics over the next two years. However, the intimidating volume of data out there, the expensive technology involved, and the extremely time consuming means of utilizing it put big data out of reach of many small business owners.
On the other side, financial service providers, which generally have the means of using big data, often baulk at the prospect of taking on SMB clients due to workload involved. Small businesses are generally riskier clients because they are sensitive to market fluctuations, have smaller loan and asset amounts, and often keep inadequate financial statements and tax documents. RAI Stone analytics platform is bridging this gap.
RAI Stone’s software provides unique models that enables financial service providers to answer SMB owners’ critical business questions, such as whether to expand locations, add salespeople, or offer a new product line. This, in turn, enables SMBs to understand how various choices will impact their cash flow, profit, and overall financial stability. The software’s predictive model was built to prove which small business variables have the most impact on growth and is able to predict with a high degree of accuracy whether or not, and by how much, a company is expected to grow based on these variables.