Perceptura automatically cleans and analyses both structured and unstructured data to deliver clear insights, KPI-aligned strategies, and automated actions tailored to your unique business goals. We do this to answer 3 key questions:
What is happening? Perceptura connects to and cleans all your data sources, providing a complete and unified view of your business operations.
Why is it happening? Our AI engine analyses your data, identifying hidden patterns, trends, and the root causes impacting your KPIs.
How do we solve it? Perceptura generates clear, actionable recommendations tailored to your business goals, telling you exactly what steps to take.
Data Integration: Combines data from multiple sources (databases, spreadsheets, CRM systems, etc.) for a comprehensive view of operations.
Automated Cleaning and Analysis: Prepares and analyses data, looking for significant changes or patterns.
Automated Pipeline and Application Building: Constructs data analysis pipelines and data applications based on defined goals and available data.
KPI Tracking: Allows users to set specific business goals and KPIs, focusing analysis and recommendations accordingly.
Insight Generation: Explains business events based on thorough data analysis.
Action Recommendations: Suggests specific steps to improve performance or address issues.
Perceptura's answer
Perceptura stands out with its Business-Driven AI approach. Unlike traditional BI tools or generic AI assistants, Perceptura's AI engine is specifically designed to align with business goals and KPIs. It not only analyses data but also provides actionable, context-aware recommendations. The platform's ability to automatically create custom data analysis pipelines, handle both structured and unstructured data, and offer explainable AI insights makes it a comprehensive, yet user-friendly solution for businesses of all sizes.
Perceptura's answer
Perceptura redefines how businesses interact with data. Unlike new-age tools with flashy but limited chat interfaces, or traditional BI platforms that are powerful but complex, Perceptura offers a unique AI-driven experience. Its AI engine is baked directly into the user interface, guiding you through analysis and automating actions based on your specific KPIs and business goals. You don't need to know how to prompt an AI - Perceptura anticipates your needs and proactively offers insights and suggestions. It's like having a brilliant analyst who understands your business, constantly working behind the scenes. For those who want to dig deeper, you can still interact directly with the AI. This approach makes advanced analytics accessible without sacrificing depth. Whether you're optimising operations or forecasting trends, Perceptura adapts to your objectives, handling all data types and explaining its findings clearly.
Perceptura's answer
Perceptura's primary audience consists of business analysts, operations managers, and executives in small to medium-sized enterprises across various industries. These are professionals who need to make data-driven decisions but may not have extensive technical expertise or large data science teams. They value actionable insights, ease of use, and the ability to quickly derive value from their data without getting bogged down in complex analytics processes.
Perceptura's answer
Perceptura was born from real-world experience in AI and data consulting. For two years, the founders worked with companies across various industries, consistently encountering the same challenge: businesses struggling to effectively use their data. Despite their backgrounds in AI research, they were surprised by the scale of the problem.
Their investigations revealed startling statistics: only 16% of companies are truly data-driven, yet these companies are 23 times more likely to outperform their competitors. Even more revealing, 86% of businesses feel they're not fully leveraging their data, even after investing in sophisticated tools. This gap between data potential and actual usage resonated with what they were seeing in their consulting work. Companies had abundant data and tools but still struggled to make data-driven decisions effectively.
Motivated by these insights, they decided to create Perceptura. Their goal was clear: to make data utilisation accessible to any business, regardless of their in-house data expertise. Perceptura is the result of their first-hand understanding of the problem and their passion for solving it.
The founders' experience in both AI research and practical business consulting uniquely positioned them to develop a solution that bridges the gap between advanced data analysis and practical business needs. With Perceptura, they aim to democratise data-driven decision-making, enabling businesses of all sizes to harness the full potential of their data.
Based on our record, RegExr seems to be more popular. It has been mentiond 367 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
However - here it becomes weird - when testing the original regex rule (the first one, without the \u00A0 part) on the same string in an interactive visualiser (https://regexr.com/ for instance), there is a match:. - Source: dev.to / 8 months ago
Learned regex in the 90's from the Perl documentation, or possibly one of the oreilly perl references. That was a time where printed language references were more convenient than searching the internet. Perl still includes a shell component for accessing it's documentation, that was invaluable in those ancient times. Perl's regex documentation is rather fantastic. `perldoc perlre` from your terminal. Or... - Source: Hacker News / 10 months ago
I read a lot on https://www.regular-expressions.info and experimented on https://rubular.com since I was also learning Ruby at the time. https://regexr.com is another good tool that breaks down your regex and matches. One of the things I remember being difficult at the beginning was the subtle differences between implementations, like `^` meaning "beginning of line" in Ruby (and others) but meaning "beginning of... - Source: Hacker News / 10 months ago
Mostly building things that needed complex RegEx, and debugging my regular expressions with https://regexr.com/. - Source: Hacker News / 10 months ago
For username: You are using the min() function to make sure the characters are not below three and, then the max() function checks that the characters are not beyond twenty-five. You also make use of Regex to make sure the username must contain only letters, numbers, and underscore. - Source: dev.to / 11 months ago
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Expresso - The award-winning Expresso editor is equally suitable as a teaching tool for the beginning user of regular expressions or as a full-featured development environment for the experienced programmer with an extensive knowledge of regular expressions.