middle management training

The Middle Management seeks solutions around the business and the technology

"Data is the new science. Big Data holds the answers."
Pat Gelsinger, CEO VMware


  • 1Do we understand our customer well?
  • 2How can we improve our company’s business performance and where are the bottlenecks?
  • 3How can we boost our top-line?
  • 4Which of our products are liked by customers?


  • 1What kind of Big Data Infrastructure should we invest in?
  • 2Should our big data solutions be insourced, outsourced or should we just follow an augmented model?
  • 3What is the best way to develop the following models: customer loyalty, fraud analytics, churn analytics?

Some of our leading corporate trainings include

Hands-on training on near real time analytics

A brief overview of big data in banking and finance ...

Read More

Big data analytics in banking

Data flows and components of Hadoop ecosystem ...

Read More

Building advanced statistical and machine learning techniques

Scope of predictive analytics, rule induction, rule mining, visualization ...

Read More
  • Advanced predictive analytics and unstructured data processing using R and other open source tools.
  • An interactive 2-day workshop on big data analytics.
  • A deep dive into advanced machine learning techniques.
  • A customized Hadoop training on Azure - HDInsight.
  • Customized use-cases training - Business Analytics across multiple Industries.
  • Big data analytics to handle high velocity data.
  • A customized training on big data and analytics.
  • Data Analysis on Hadoop – Hands on Training.
  • Data flows and components of Hadoop ecosystem.
  • Handling high volume and high variety data using open source tools.
  • Querying and processing large volumes of data using SQL-like tools on Hadoop.
  • Using fully open source components to handle reporting requirements.
  • Use-case discussion, optimizing warehouse throughput using Hadoop.
  • Descriptive analytics – visual analytics.
  • Scope of predictive analytics, rule induction, rule mining, visualization.
  • Market basket analysis, clustering, handling big data – R and Hadoop.
  • Bayesian techniques.
  • Taming text data.
  • Processing graphs, deep learning, use-case discussion.