Success Stories

Finance teams looking to improve their impact should consider how a partner like Liv Data can help them move beyond traditional accounting. The run, transform, advise framework provides a clear path to better data, smarter processes, and stronger business decisions.

Artificial intelligence often sparks concerns about job losses and economic disruption. Yet, the reality unfolding across industries tells a different story. AI is not just replacing jobs; it is creating new roles that drive economic growth and improve decision-making processes. Companies investing in AI are expanding their workforces, focusing on human-in-the-loop jobs and trust verification roles that ensure AI systems operate reliably and ethically. This shift is transform

In today's fast-paced world, finance and accounting must evolve to meet the demands of efficiency and automation. Enter John Silverstein, founder of Liv Data, whose impact on finance transformation is noteworthy. With extensive experience in automating financial processes and integrating acquisitions, Silverstein is changing how businesses approach their financial operations. In this post, we'll explore his inspiring journey, valuable insights, and how Liv Data is redefining

At Liv Data, we believe finance should be a driver of decision-making, not a drag on it. Recently, we partnered with a client to deliver a full FP&A transformation— going live with Aleph in just four weeks. The Challenge Like many organizations, the client’s budgeting and forecasting process relied on scattered spreadsheets. Models lived in silos, reporting was slow, and leadership struggled to connect operational KPIs with financial outcomes. Finance teams were spending more

The Challenge A high-growth technology services business was struggling to understand its true profitability. Despite strong sales and cash inflows, management found it difficult to assess margins, allocate resources, and plan for sustainable growth. The root issue was cash-basis accounting . Revenue was recorded when cash arrived, and expenses when they were paid — often months apart. This approach created timing mismatches, distorted financial performance, and obscured the