The ROI of DataGPT: How Customers Accelerate Revenue Growth and Dramatically Reduce Costs

Why do companies channel billions into data-driven decision-making? The answer is simple: to fuel growth and streamline efficiency. However, realizing these objectives often stumbles upon hurdles, chiefly in the speed and complexity involved in harnessing data for decision-making.

Enter DataGPT – a conversational AI analytics solution that democratizes data like never before. Through its innovative chatbot, DataGPT makes fast and intuitive data analysis a reality.

The outcome is a next generation tool that enables your data to power revenue growth and curtail operational expenses, culminating in an ROI that’s too compelling to overlook.

This article will dive into the benefits of DataGPT and how users experienced a staggering quarterly ROI of 2,178%.

Setting a New Standard for the Business Intelligence Industry

In the contemporary business landscape, there's no disputing that data is the fuel for growth. Harnessing data effectively is a cornerstone of revenue growth and one of the most significant competitive advantages an organization can possess. DataGPT tackles these key challenges in this domain head-on:

• Speed to Insights: Unlike traditional solutions that leave business users waiting hours or days for answers, DataGPT enables users to chat with their data and get answers to their questions instantly.
• Ease of Analysis: Complex BI tools require expertise and have low adoption rates among business users. DataGPT delivers a personal data assistant experience making analysis as simple as having a conversation.
• Accuracy and Comprehensiveness: Accuracy demands the utilization of all relevant data, verification of statistical significance, and the elimination of human biases – a process that can be time-consuming or error-prone using conventional methods. DataGPT processes data with unprecedented speed and accuracy.

Accelerating Revenue Growth

Let’s look at a core metric for many DataGPT customers, Daily Active Users (DAU). This is a vital indicator of a product's usage and adoption, and the more users a product has, the higher the revenue potential.

After adopting DataGPT, customers have seen hockey stick growth on DAU, a clear sign of exponential growth. Over 90 days, customers saw an average 26% growth rate in DAU. This was driven by the growth, sales, and product teams being able to instantly monitor and identify what actions were impacting DAU and make decisions to optimize that metric on a daily basis. Before DataGPT, delayed analysis meant information needed to inform decisions on where to optimize growth took days to receive, bugs weren’t caught immediately, and growth opportunities were missed or delayed.

This surge, in turn, led to a proportional increase in revenue, recording an 18% average growth rate in the same period.

The growth customers experienced was made possible largely due to DataGPT's lightning-fast data processing. Where traditional BI solutions would take about 50 seconds to execute a query, DataGPT accomplishes the same in just 50 milliseconds. That means DataGPT can run more queries to analyze an entire dataset and still deliver answers in seconds.

DataGPT customers can make rapid, data-informed decisions, sparking growth and revenue. With DataGPT, businesses are equipped to keep up with the fast-paced, data-driven world and transform their rate of growth.

Dramatically Reducing Operational Costs

DataGPT's dual excellence in data processing and delivering insights distinguishes it from traditional BI tools, which requires time consuming dashboard creation and management. DataGPT enables users to interact with their data by having a conversation, obtaining instant comprehensive answers supported by auto-generated visualizations.

Cutting Data Team Costs

With traditional BI tools, creating a basic dashboard takes approximately 3.3 hours, while an advanced one requires as much as 29.3 hours. That's a minimum of three business days for a preliminary dashboard draft. But the story doesn't end there. After a dashboard's creation, it then gives rise to additional data requests, taking up even more of a data team's time.

Given that marketing, sales, customer support, operations, and product teams all require data, and each of these teams on average request at least one advanced and one basic dashboard monthly, data teams can spend an overwhelming 489 hours quarterly fulfilling these requests. With the average cost per hour for a Data Analyst at $45.74, this equates to $22,364 in costs per quarter using traditional BI tools.

DataGPT revolutionizes this process by automating it, reducing the cost to $0.

Cutting Data Processing Costs

The advantages of DataGPT become more pronounced when examining data processing costs. Traditional BI tools take about 12 hours to calculate one dashboard with the same functionality as DataGPT, and the average cost of a regular ETL machine (cloud setup) is $2.176 per hour. For 102 dashboards quarterly (90 daily and 12 weekly), the total cost amounts to $2,663. However, DataGPT database only takes 1.17 minutes per databoard at a cost of $0.134 per hour, bringing the total cost to less than $0.5.

*DataGPT achieves an average incremental data update time of 4 minutes, ensuring quick and up-to-date data availability.

The Undeniable ROI of DataGPT

DataGPT benefits are crystal clear: it fosters robust revenue growth and impressive cost reduction. By bolstering the key growth metrics like DAU and Revenue while significantly decreasing data team and data processing costs, DataGPT delivers a quarterly ROI of 2,178%

But what sets DataGPT apart is more than just its speed and cost savings. Recognizing that data is multi-dimensional, complex, and continuously evolving, DataGPT doesn’t flatten data into two dimensions like traditional BI tools. It acknowledges the diverse data needs within an organization and provides an intuitive, low-code interface that empowers even non-technical teams.

Experience the DataGPT Revolution

By embracing DataGPT, businesses are stepping into an era of business intelligence, where analysis can be done by simply having a conversation and insights are delivered in real time. This not only provides a substantial competitive edge but also has a tangible impact on the bottom line by driving revenue growth and reducing costs.

As the business landscape grows increasingly complex and data-driven, DataGPT stands as a beacon, ushering in a future where data analytics is a breeze, not a burden. Empower your teams, make smarter decisions faster, and watch as your ROI soars.

With DataGPT, the future of data-driven decision-making is already here. Don’t let your organization fall behind.