The AI Analytics Copilot for Data to Excel Your KPIs

Kyligence Copilot transforms complex data into actionable insights, enabling faster, data-driven decision making for businesses.
Kyligence Copilot transforms complex data into actionable insights, enabling faster, data-driven decision making for businesses.

About the product

Main idea

AI plays a crucial role in Kyligence Copilot by leveraging machine learning algorithms to process extensive datasets, identifying complex patterns and providing predictive insights. This automation reduces the need for exhaustive human analysis, enhancing the efficiency and accuracy of data-driven decision-making within organizations.

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Kyligence Copilot integrates seamlessly with your existing data infrastructure, unifying various data sources into a centralized metrics hub. Using advanced AI algorithms, it processes and analyzes large datasets to identify complex patterns and generate predictive insights. This is all done within a matter of seconds.

The product's natural language query function allows users to interact with their data intuitively, asking questions and receiving actionable recommendations. The composability function refines these insights to specific business contexts, enabling users to make informed decisions quickly. Reports and dashboards can be easily generated, streamlining the data analysis process and boosting productivity.

Key features

  • Natural Language Query: Allows users to interact with data by asking questions in natural language, making complex analytics more intuitive.
  • Automated Insights: Analyzes key metrics in seconds, automatically identifying causes of data changes for quick adjustments and strategic decisions.
  • Composability Function: Refines insights to specific business contexts, enabling more precise and relevant decision-making.
  • Report Generation: Converts dialogues into reports or dashboards, simplifying the reporting process and saving time on manual tasks.
  • Integration via Open API: Easily integrates with existing systems through an open API, allowing for the creation of custom data applications.
  • Security and Compliance: Powered by Azure OpenAI, ensuring top-tier security and regulatory compliance for data protection.




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Test the skills on real cases

Potis works on automated behavioral interviews.
Candidates will be asked to give examples of how they handled situations in a real case.

Scenario environment

You are a Project Manager at Experlogix, a global software company specializing in Configure Price Quote (CPQ) solutions. You are currently leading a team of solution consultants, architects, team leads, and support team members. The company has recently acquired a new client in the life sciences industry who wants to implement the CPQ software for their complex configurable products and services. The project will involve both a waterfall-based discovery and solution design phase, followed by Agile-based modelling sprints. The client has high expectations for a seamless implementation and expects the project to be delivered within a specific timeframe and budget.

Role specificity

As the Project Manager, you are responsible for leading the project team and ensuring the successful delivery of the CPQ implementation. You have the authority to make decisions regarding project planning, resource allocation, and stakeholder management. You will work closely with solution consultants, architects, team leads, and support team members to define and develop appropriate solutions while managing expectations to deliver an incredible customer experience.",


Build your ideal assessment

Add a job description and the required skills, the service will automatically generate interview questions and create a case.

Anti cheat way to assess

Unlike online-tests, it’s impossible to prepare for behavioral case structured interview.
AI question

Clear & bias free talent scoring

Get useful information about every candidate: by hard/ soft skills, strengths and weaknesses.

01. Technical Skills:

  • Software development methodologies (e.g., Agile, Scrum, Waterfall)
  • Programming languages, databases, and other relevant technologies
  • Software testing and quality assurance
  • Software architecture and system design

02. Strengths:

  • Lead and communicate: clearly define goals, motivate teams, and resolve issues.
  • Plan and organize: keep projects on track, manage resources, and meet deadlines.
  • Solve and adapt: troubleshoot problems, manage risks, and adjust to change.

03. Weaknesses:

  • Limited technical depth: difficulty with complex technical issues or developer communication.
  • Micromanaging tendencies: stifles creativity and reduces morale.
  • Scope creep and conflict: challenges managing changing priorities and resolving disagreements.