Artificial Intelligence

Harnessing power of emerging technologies

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UNLOCK THE SECRET OF YOUR DATA LAKE

Data is now considered the new “black gold.” This underlines the importance of data in the new century. Big data works by analysis of data and works by cutting costs, it gets work done in optimum time, and helps in making judicious decisions for a business. Analysis of big data requires an infrastructure that is able to manage and process huge data; these might be in a structured pattern or might be random. This is where an association with Itilize will be of help. Itilize has the technology and talent to process any amount of data for our clients.By applying the right models to the data, Itlize enables companies to identify patterns inmassive volumes of data to predict and positively influence business outcomes.

Fraud detection

  • Fraudulent transactions have caused huge losses to many big corporation, banks, and even countries. Itilize uses data to detect and prevent dishonest transactions to affect business operations. We apply predictive models to real-time transaction data to identify and stop fraudulent activity.

Customer segmentation

  • Customer segmentation helps in targeted marketing. This cuts costs and ensures that the product is displayed only to those people who are interested in the product and helps to improve customer service and customer satisfaction. Our team will help the client identify customer segmentation based on behavioral, transactional, social, and other data analysis.

Modulating Customer churn

  • Also known as customer attrition, customer churn is the bane of any business, as it costs more to get a new customer than retain one. Using data a business concern can identify customer loyalty and take adequate steps to retain their customers. Itilize can engineer patterns that will indicate if a customer is likely to leave a product or service and take appropriate measures to prevent it.

Sentiment analysis

  • Sentiment analysis helps to gauge the mood of the targeted audience. An example would be that customer opinion about a product can be gleanedby analyzing data on social media. Thus analysis of text-based data like email content and social media updates helps to garner user and customer sentiment.

Recommendation engine

  • This helps to use data to suggest products based on the past online behavior of a customer. It gives customer an option of targeted products, services and action items to users based on analysis of past behavior and other data.

OUR APPROACH TO YOUR BUSINESS OPPORTUNITIES VIA DATA SCIENCE IDENTIFY THE PAIN POINTS

ANALYTIC CAPABILITY OVERVIEW

  • Our data science team works with you to inspect and assess your organization's existing business segments and potential capability for big data analytics and predictive modeling. It goes beyond your technology stack to encompass your broader business organization, skills, objectives, and obstacles.

BUSINESS OPPORTUNITY IDENTIFICATION

  • Next, we work to discover data-driven business opportunities, digging out your data "ground truth" and business objectives, to identify predictive user stories, simple-to-use applications, and other data value streams.

DATA EXPLORATION

  • Our data scientists explore all available data for quality, comprehensiveness, and applicability to targeted user stories.
  • Reduces risk of underperforming and inefficient operations due to increasing demand and regulatory complexity,

FEATURE ENGINEERING

  • We identify data features of user stories and modeling approaches, and engineer new data features that are required for your business opportunities.