Sprocket Launches AI-Driven Data Analysis Agent Solution

Sprocket Inc., which provides a CX improvement platform, will begin offering a beta version of a new solution called “Data Analysis Agent,” which enables advanced data analysis without specialized knowledge through dialogue with generative AI. “Data Analysis Agent” is the first product in Sprocket’s AI agent series, “SproAgent,” in which AI autonomously performs complex tasks on behalf of humans.

AI agents for true personalization

Marketers understand that the ideal communication would be to optimize it for each individual customer, but they face the dilemma of being forced to rely on an efficiency-first approach due to time and resource constraints.

The root cause of this dilemma is the enormous cost involved in analyzing customer data, creating individual content, implementing measures, etc. In addition, because advanced data analysis requires specialized skills such as SQL, it was essential to divide the work among data analysts and other specialists.

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The advent of generative AI has made it possible to automate operational tasks that previously took marketers a huge amount of time, such as data analysis, report creation, and content production, thereby dramatically reducing the cost of personalization.

However, simply introducing AI tools is not enough. What is needed is an environment where advanced analysis and policy planning can be carried out autonomously, simply by issuing instructions in natural language, even without specialized knowledge. This will free marketers from operational tasks, allowing them to focus on strategic thinking and understanding customers.

To address these backgrounds and challenges, Sprocket developed the SproAgent series of AI agents, which use AI to autonomously execute complex tasks while humans provide direction and supervision, making true personalization, which was previously ideal but unrealistic, a reality and sustainable reality.

“Data Analysis Agent” to solve problems in data analysis

As digital marketing becomes more sophisticated, marketers are required to perform more sophisticated data analysis. However, the following issues have become apparent:

Lack of personnel with the specialized knowledge of SQL and other skills required for data analysis.

A lot of time is taken up by analytical work, which means less time can be devoted to planning measures, which is what the company should be focusing on.

Although data has been accumulated, no one knows how to use it effectively.

In these circumstances, marketers are forced to spend their time on routine tasks such as data extraction and compilation, rather than the creative work that they should be focusing on.

To solve these issues and create an environment where marketers can focus on creating value, Sprocket developed the “Data Analysis Agent” as the first product of the “SproAgent” series.

Three features that free you from data analysis work

Sprocket‘s “Data Analysis Agent” is a data analysis support tool that utilizes generative AI, developed with the concept of “freeing you from data analysis work.” By interacting with the AI in natural language, complex data analysis and visualization of analysis results are possible.

Below are the main features of the Data Analysis Agent.

1. Intuitive analysis instructions using natural language

No specialist knowledge is required, and you can request an analysis in everyday terms, such as “Tell me the top 10 products in sales last month” or “Compare the conversion rates between PCs and smartphones.” AI will understand your intent and automatically extract the appropriate data and perform the analysis.

2. Multifaceted analysis and visualization

AI does not simply extract data, but analyzes it from multiple perspectives according to business issues. The analysis results are presented visually in easy-to-understand graphs and charts, allowing you to discover insights and make decisions quickly.

3. Support for advanced analytics

Time series analysis allows you to understand daily, weekly, and monthly trends. Segment analysis allows you to understand in detail the characteristics of each device, each inflow route, and each customer attribute.

It supports a wide range of analyses required for marketing, such as conversion funnel analysis, sales contribution analysis, and customer behavior analysis.

SOURCE: PRTimes