Intellectt’s comprehensive data analytics unlocking insights: historical trend analysis, predictive modeling and advanced analytics empowering confident data-driven decisions. We provide a comprehensive suite of data analytics to help our customers unlock the full potential of their data. Our expertise covers a wide range of analytical techniques. We offer descriptive and diagnostic analytics wherein we summarize historical data to understand past trends and the reasons behind past outcomes. We also provide predictive and prescriptive analytics wherein we use advanced tools like machine learning and forecasting tools to predict future outcomes and prescribe actions for success. Our Advanced Analytics services include data mining, text analytics and web analytics that provide deeper insights into data. With a focus on tools like Tableau, Excel, and TensorFlow we ensure that data is not just analyzed but also visualized appropriately in order to empower our customers to make data-driven decisions with confidence.

Descriptive & Diagnostic Analytics

Focuses on summarizing historical data to understand past trends and performance and the reasons for the performance. It includes components such as:

  • Historical Data Analysis.
  • Data Aggregation.
  • Key Performance Indicator (KPI) Monitoring.
Tools & Technologies :

Predictive and Prescriptive Analytics

Predictive and prescriptive analytics focus on using data to predict future outcomes and prescribe actions to achieve desired outcomes. It includes components such as:

  • Predictive Modeling.
  • Forecasting.
  • Optimization.
Tools & Technologies :

Advanced Analytics

Advanced analytics encompass more complex techniques and methods to analyze data, including:

  • Data Mining.
  • Text Analytics.
  • Web Analytics.
  • Business Intelligence.
Tools & Technologies :

Descriptive

Diagnostic

Predictive

Prescriptive

Descriptive

  • Based on Live Data, Tells what's happening in real time.
  • Accurate & Handy for operations management.
  • Easy to Visualize.

Dianostic

  • Automated RCA-Root Cause Analysis.
  • Explains "Why" things are happening.
  • Help troubleshoot issues.

Predictive

  • Tells What's Likely to happen?
  • Based on historical data, and assumes a static business plans/models.
  • Helps Business decisions to be automated using algorithms.

Prescriptive

  • Defines future actions - i.e., "What to do next?"
  • Based on current data analytics, predefined future plans, goals, and objectives.
  • Advanced algorithms to test potential outcomes of each decision and recommends the best course of action.