Find And Fix Fast
Maximize your business potential by addressing issues in a timely manner. By resolving problems promptly, you can enhance your user engagement, increase conversions, boost customer retention, and ultimately, drive revenue growth.
Increasing Employee Productivity
Our platform empowers smarter, faster decision-making through insights and process optimization. Simplify complex tasks and drive growth in your business.
With machine learning (ML), you gain a powerful tool that can detect anomalies in your metrics that may go unnoticed by humans. ML provides immediate alerts, enabling you to take corrective action promptly and keep your operations running smoothly around the clock. With 24/7 monitoring, you can trust that our platform will help you quickly identify issues and get your business back on track.
How it works
Generating Autonomous Insights
Analytics model goes beyond traditional analytics by offering powerful and autonomously personalized insights. Leveraging a combination of advanced algorithms, including anomaly detection, trend detection, user preferences, feedback priority, and benchmarks comparison, Analytics model empowers you with actionable knowledge tailored to your specific needs.
Embracing Natural Language
Our platform breaks free from traditional constraints by embracing natural language and company-specific jargon. Users can communicate with the data, ask questions, and obtain real-time responses. This enables a more intuitive and expressive way of conveying their analytical needs.
Generating Manual Insights
Our platform empowers users with a unique approach to personalization, allowing them to interact with the system using free language, company jargon, and intuitive selections. This level of flexibility extends to choosing preferred visualizations using free text, seamless code editing with auto-correction and recommendations, and the ability to incorporate preferred insights into dashboards or personal feeds. Here's a closer look at this innovative approach
Users are not limited by rigid menus or templates. Instead, they can simply describe the type of visualization they envision in plain language or use company-specific terminology. Whether it's bar charts, heatmaps, or custom visualizations unique to their industry, our platform understands and delivers.
Code Editing with Intelligence
For users who prefer a hands-on approach, our platform supports code editing. Our intelligent system assists users with auto-correction and provides helpful suggestions to enhance their code, ensuring accuracy and efficiency in the analysis process.
Types of Insights
Predictive analytics leverages Analytics model to generate automatic alerts and insights regarding sales trends, product demand, and customer churn. These insights enable better inventory management and marketing strategies, aiding stakeholders in making informed decisions.
Analytics model algorithms provide automatic alerts and insights by detecting unusual or fraudulent transactions in real-time. These alerts protect both the company and stakeholders from potential financial losses, enabling swift response.
Customer Lifetime Value (CLV)
Analytics model estimates customer lifetime value, providing automatic insights for targeted marketing efforts and resource allocation. Stakeholders receive valuable information to identify high-value customers and tailor strategies.
Price Optimization: Analytics model generates automatic alerts and insights by analyzing competitor pricing, demand elasticity, and historical data. These insights inform stakeholders about the optimal pricing strategy for products.
And Many More …
Anomaly detection continues to play a vital role in most industries across the globe. According to a report by MarketsandMarkets, the size of the global anomaly detection market is estimated to grow from $ 2.08 billion in 2017 to $ 4.45 billion by 2022 at a compound annual growth rate of 16.4%.
In games, anomalies are unexpected changes in telemetry or transactional data. These anomalies can indicate all kinds of issues, from a technical glitch in the game or underlying infrastructure, to an untapped marketing opportunity to increase in-app purchases and player engagement.
Autonomous anomaly detection plays a critical role in process automation and content personalization in the AdTech sector. With augmented analytics, advertisers can proactively improve and personalize their marketing campaigns for a better ROI.
A big part of understanding what’s going on in your e-commerce KPIs and metrics is understanding when they’re behaving in a way they shouldn’t – when there is anomalous data you need to know about.