GOOD TO KNOW

Questions we can answer together.

Is my data bad or do I need
better machine-learning
tools?

When will I get value out of
our data science?

What’s the difference between
machine learning and AI?

Do we have the right inventory
ready for the holiday season?

How can data science,
machine learning, or AI
improve our ad targeting?

How many resources should
go into getting the data in place
before using AI for my business?

SERVICES

Rapidly extract insights that drive business

Use well-designed induction algorithms, such as regression modeling to your data set, to accelerate your upcoming marketing campaigns and give you competitive advantage to:

 

  • Predict not only whether your marketing products will be bought, but how many of those products will be purchased by a specific segment.
  • Understand how much revenue you will be able to extract or generate from a particular marketing campaign or channel.
  • Cluster analysis: Better understand your users with advanced customer segmentation through cluster analysis.
  • Price analysis: Get better marketing results with price sensitivity and sentiment analysis.
  • Sentiment analysis: Decide what steps you take next by applying sentiment analysis to your messages, products, or offers.
  • Predictive analysis: Powerful predictive analysis will help you identify unexpected events before they happen so that you’re never caught off guard. Get to know your data well enough to prepare for predictable changes that impact your operations.

 

  • Real-Time anomaly detection: Use machine learning to quickly compare what happened to what was supposed to happen and the determining causes.

Maximize your
product investment

We have the expertise, certifications, and experience

with the leading data and analytics products

SERVICES

Better understand and target your customer

Use well-designed induction algorithms such as regression modeling to your data set to accelerate your upcoming marketing campaigns and give you competitive advantage:

 

  • Predict not only whether your marketing products will be bought, but how many of those products will be purchased by a specific segment.
  • Understand how much revenue will you be able to extract or generate from a particular marketing campaign or channel.
  • Cluster analysis: Better understand your users with advanced customer segmentation through cluster analysis.

 

  • Price analysis: Get better marketing results with price sensitivity and sentiment analysis.

 

  • Sentiment analysis: Decide what steps you take next by applying sentiment analysis to your messages, products, or offers.
  • Advanced customer segmentation: Generate better, more meaningful insights through advanced customer segmentation methods, including classification, nearest neighbors, k-means, logistic regression,and neural networks.

 

  • Build your offer recommendation engine: Identify lost opportunities or nonprofitable actions to maximize profit.