The Preql blog

Dashboards and AI tools won’t deliver without consistent logic. Learn why the semantic layer is the missing link in scalable, trustworthy finance data.

Excel isn't the problem — broken workflows are. Learn how better systems can make spreadsheets faster, smarter, and scalable for modern finance teams.

AI and forecasting tools can't deliver ROI on messy data. Learn how a centralized, clean, and consistent data hub is the real key to modern finance success.

Manual FP&A processes don’t just waste time — they drive away top talent. Learn how automation and better tools can boost retention and unlock your team's potential.

Thinking of replacing your ERP to fix data issues? Here's why that won't work — and what to build instead for better analytics, lower cost, and faster results.

Finance, not your data team, should lead your data strategy. Learn how empowering FP&A with the right tools unlocks insights, agility, and smarter decisions.

Discover why integrating financial and operational data is crucial for manufacturers facing tariffs and economic uncertainty. Learn how data-driven decisions can protect margins and boost resilience.

CFOs battle with data reconciliation challenges that reduce their efficiency in their broadening role. Learn how Preql's platform can streamline and automate the process.

According to a study involving finance leaders, finance teams spend half of their week on transaction processing. This means from Monday morning to Wednesday lunchtime, they ensure that customers receive accurate invoices, bills are paid, and fixed assets are accounted for.

What’s a semantic layer? While I certainly have heard the term before, I never truly tried to understand what it was and why it was important to me.

We’re thrilled to announce a collaborative partnership between Preql, the no-code data access platform, and Brooklyn Data Co. (a Velir company), a leading expert in the modern data stack. This alliance unites our shared vision of a data-driven world where individuals of all technical backgrounds can access, analyze, and leverage data to make informed decisions.

In the journey of digital transformation, the spotlight often falls on adopting cutting-edge technologies. However, the real catalyst for change lies in dismantling organizational silos to establish a unified data vision. This integration is crucial in transforming how businesses understand and utilize their data to drive decisions.

In today’s rapidly evolving digital world, the true challenge for businesses and technology leaders is not merely collecting vast amounts of data but transforming it into meaningful and actionable insights.

2023 was an exciting year for Preql. Our team doubled in size, our product officially hit the market and we launched new AI features. But above all, the true highlight was spending time with remarkable individuals shaping the future of data.

New York, December, 2023 — Preql announced today that it has joined the Snowflake’s Partner Network. As part of the Snowflake Partner Network, Preql enables data access to joint customers to manage their own metrics and KPIs in a flexible, no-code-UI, to get the most out of the Snowflake Data Cloud.

We’re delighted to announce the partnership between Preql and Sigma Computing, two best-in-class solutions with a common goal: enabling business users to make data driven decisions.

It’s no shock that successful companies are driven by data and insights. But the process of getting your company’s data to reflect your business context and in the hands of decision makers can be a painful experience.

No matter what your role is, you need data to be successful. RevOps folks need reliable sales data for forecasting, Customer Success teams need product usage data, and Marketing teams need to understand the customer lifecycle.

People have strong opinions about dashboards: are they dead? Are they here for good? Why isn’t there a better way to consume data? No matter where you land on those big questions, it’s worth confronting a basic fact: most businesses make big investments in business intelligence tools, most data teams produce a lot of dashboards, and most dashboards end up stale and unused.

We’re thrilled to announce Preql’s official technology partnership with Fivetran! Fivetran is the premier automated data movement platform, offering organizations the ability to effortlessly extract and load data between a wide range of sources and destinations. Once Fivetran has loaded data from your source systems and into your cloud warehouse, Preql generates reporting-ready metrics in minutes.

The modern data stack has made the lives of data teams infinitely easier. Even one generation of tooling ago, data teams were tasked with managing on-premise data storage and building their own pipelines. Today, tools like Fivetran and Snowflake have made moving data into a cloud warehouse and storing it in a scalable way possible within days. Even companies without a full data team can reliably move data into a warehouse.

Data titles are notoriously confusing and inconsistent! Personally, I’ve taken to using the term “data person,” as opposed to data analyst, scientist, or engineer because by definition, the skill sets of data people are broad and we tend to put on different hats as needed. That said, data people come in different flavors, and you can usually map personas to a few key goals and the tools and workflows they prefer to spend time in. 

We’re thrilled to announce our new venture, Preql! Preql is a no-code data transformation solution built for business users. Preql is the culmination of our mission to bridge the gap between business users and data teams, and to make data and analytics accessible to more people.