How Businesses Thrive with Accurate and Actionable SMB Data

Data serves as the goldmine that business leaders sit on. From detecting risks, uncovering issues, to properly marketing products and solutions, accurate and actionable information is key to propelling organizations toward growth and profitability. For the past few decades, traditional data providers have been gathering lists of prospects that could potentially provide value to enterprises. However, filtering the noise and producing a solid network of active and relevant clients who require specific services is a warzone. That is the consequence of an organization's heavy reliance on static data - it's abundant, but not necessarily efficient.

For the longest time, companies from a multitude of sectors count on static data to make executive decisions in different facets of their business, and the tedious process of manually verifying information is a tricky road that teams simply need to navigate. Since static data remains fixed right after collection, the integrity and validity of its value require constant and persistent updating from the workforce. What's more, the window for human error often leads to business failure. According to a study by Gartner, 40% of organizational goals fail due to the lack of accurate data. 

Today, as digitalization further advances, a myriad of opportunities arise for businesses to thrive by ditching obsolete data providers. With more advanced and modern technological capabilities emerging left and right, leaders are quickly scouring for cutting-edge solutions to take their companies to greater heights.

Tarci, with its continuous intelligence engine, is a key player in revolutionizing the traditional data-sourcing method by generating dynamic SMB data to help businesses thrive. With its ability to paint the full picture for SMBs, organizations get the upper-hand advantage to a) boost sales, b) optimize marketing campaigns, and c) guard their business against risks.

Continuous Intelligence Engine: How Does it Work?

From the name itself, this smart tool continuously learns and builds on data, resulting in dynamic data that provides a unified, accurate, and actionable view of SMBs and their needs. This eliminates the need to manually verify and update prospect lists as it automatically detects changes as well as indicates new possible opportunities. Its persona profiling is progressive, consistently aligning with rapid customer behavior changes. Simply put, no data remains unchanged.

Aside from tracking business growth, Tarci's real-time view of businesses offers predictive insights enabling businesses to spot early signals of vulnerable clients. Not only does this provide constant alignment, but it also protects enterprises from commercial bad debt. Multinational companies like Bluevine, Tipalti, and Payoneer have seen unprecedented and positive results with Tarci's smart SMB, including:

• Vast improvements in business decisions

• Rapid recalculation of risk portfolio

• Identification of fraudulent and malicious activities

• Full data and analytics strategies

• Increased rate of customer satisfaction

• Increased revenue and profits

• Better problem solving

Companies Don't Find the Data; Data Finds the Companies

A long-term, significant effect of companies switching to Tarci's dynamic data is the unparalleled decrease in research time. Clients no longer have to look for SMBs that fit their ideal customer profile; Tarci does the heavy lifting. This is done through the use of relevant tags and trigger events so that only valuable data with high conversion rates will be delivered to their system. In fact, companies' research time is cut down to more than 50% with the integration of this state-of-the-art system. This allows sales teams to solely focus on valuable prospects, real opportunities, and effectively close deals.  

Tarci has been servicing multiple sectors, including:

• Merchants and payments

• Insurance and benefits

• Business loans

• eCommerce solutions

Surviving is one thing; thriving is another. For businesses to go to the next level, leaders should have the initiative to drop old-fashioned models that no longer fit today's competitive, cutthroat landscape. Switching to dynamic data is the next best step to go from zero to 100.