Advanced analytics
Advanced analytics
Service

Advanced analytics

KPMG’s advanced analytics tools organize unstructured data for greater deal insight.

Watch our video to learn how KPMG uses data and analytics to help organizations maximize transactional value at deal speed.

 

Deal Advisory Advanced Analytics

When it comes to a transaction or restructuring, the more refined insights you have, the better. But unstructured data isn’t refined. It isn’t neat. It isn’t organized. And it isn’t easy to get a handle on – or get insight from.

KPMG’s Advanced Analytics tools transform unstructured data – from inside company systems and out on the web – into structured data, allowing analysis to be performed and insights to be gleaned. They make data that had no value, invaluable.

See what happens to unstructured data types when you introduce KPMG’s Advanced Analytics into the mix to enable structured data analytics. 

When do advanced analytics come into play?

Our Advanced Analytics tools’ unstructured data mining, unstructured data management and unstructured data analysis capabilities come into play before, during and after the transaction.

Executive management

  • Drive strategy and gauge market share changes
  • Assess operations
  • Estimate demand levels for production and inventory

Sales

  • Forecast demand
  • Respond to competitive strategies
  • Predict when and where a battle for market share may erupt

Finance

  • Enrich forecast assumptions based on knowledge of consumer expectations

Marketing

  • Anticipate product and service demand
  • Incorporate consumer wants and needs into the product mix
  • Assess brand awareness and positioning

Human resources

  • Assess employee sentiment
  • Assess the success of change efforts

Customer service

  • Assess customer satisfaction
  • Keep tabs on emerging consumer issues
  • Proactively respond to defuse potential problems

Advanced analytics from KPMG help provide clearer answers to critical questions like these:

  • What are consumer expectations right now and how should they  impact forecast assumptions?
  • How are consumers reacting to our brand positioning?
  • What terms come up most often in customer service calls?
  • Do we have a detailed, realistic view of our customers’ needs, expectations and buying patterns?
  • What can we learn from our technicians in the field and the work order notes they record?
  • Where is the next competitive threat coming from?
  • What customer trend do we need to be paying attention to right now?