Table of Contents

Tellius 101

Ramya Priya Updated by Ramya Priya

What is Tellius?

Tellius is an advanced analytics platform designed to help businesses of all sizes unlock the full value of their data and make informed decisions. By connecting to a variety of data sources and using machine learning algorithms, Tellius helps users quickly uncover insights and patterns in their data.

Tellius offers a modern self-service experience, allowing you to respond to ad-hoc questions through a user-friendly interface. It also provides tools for deeper analysis to help understand the "WHY" behind the data.

At its core, Tellius is built on a highly scalable and modular architecture that can handle large and complex datasets. Whether you're looking to improve customer experiences, optimize supply chains, or make better financial decisions, Tellius can provide the insights and recommendations you need to succeed.

What can Tellius do?

Some key features of Tellius include:

  • Data integration: Tellius can connect to a wide range of data sources, including databases, cloud platforms, and file systems. Users can easily blend and transform their data to make it more useful and actionable.
  • AI-driven insights: Tellius uses advanced machine learning algorithms to automatically identify trends and patterns in data, and provides real-time recommendations to help users make better decisions.
  • Natural language processing: Tellius offers a conversational interface that allows users to ask questions in plain English and get instant answers. This makes it easier for non-technical users to work with data.
  • Predictive analytics: Tellius can automatically generate predictive models that help users anticipate future outcomes and optimize business strategies.
  • Self-service BI: Tellius enables business users to create and share interactive dashboards, reports, and visualizations without relying on IT or data science teams. This makes it easier for organizations to democratize their data and empower their employees.
  • Data governance: Tellius provides robust security and compliance features that help organizations maintain data privacy and regulatory compliance. This is important for businesses operating in highly regulated industries.

Here are the key features of Tellius

How does Tellius address common challenges in data analysis?

  • Tellius provides the capability to answer impromptu, ad-hoc questions that traditional dashboards may not support, enhancing your data exploration experience.
  • It reduces the time spent on manual data slicing and dicing, enabling quicker and more efficient data analysis.
  • Tellius empowers users by reducing dependency on IT or BI teams for answers, promoting a more independent and streamlined approach to data discovery.
  • It offers the ability to draw meaningful insights from aggregated data, turning raw numbers into valuable information.
  • Moving beyond reactive reporting, Tellius helps you to proactively uncover insights, assisting you to stay ahead of trends and make data-driven decisions.

How to perform analysis on Tellius

Follow the step-by-step process outlined below to get the most out of Tellius:

  1. Connect to a datasource. Identify where your data lies and import into Tellius.
  2. Refine your datasets: Clean, prepare, and transform your data to create well-defined datasets.
  3. Create Business Views. Join multiple datasets to create clearly defined Business Views that can help you throughout your analysis journey.
  4. Start asking your questions in Search. Type in your question in natural language in the Search bar and get your answers visualized in charts.
  5. Build Vizpads. Create charts and construct Vizpads from a single or multiple Business Views. Use local and global filters to drill down your analysis.
  6. Identify patterns. Now you have seen the "What" part, get ready for the "Why" part. Go to Insights to discover trends, compare, or find anomalies to understand the reason behind your results.
  7. Build ML (Machine Learning) models. Once you have understood the historical and current trends, predict the future trends using the existing data.
  8. Save to Projects. When you have multiple objects (Vizpads/Insights/Models) pertaining to the same concept, organize them into a Project for easy access.
  9. Share and collaborate. Share the saved objects with your team members and assign the required permissions.

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