Take advantage of advanced analytics and machine learning for your future growth.
Today, middle-size and large companies have plenty of data and opportunities to capitalise on it while improving their business. For example advanced analytics can be used to provide information about the likelihood of their clients being willing to buy additional products and services, which services might interest them, or their activities on websites and mobile apps
Machine learning algorithms can detect manufacturing bottlenecks or unfair client behaviour. Entrust your data to our care and get high-quality key information for your business.
Advanced analytics can turn data into a key value for business.
Thanks to the integration and processing of various data sources, we can prepare richer predictive models or more accurate segmentation. We focus on current business issues, needs and challenges.
We monitor current trends and look for ways to utilise them for better customer knowledge and personalised interactions, based on the detection of customer needs (and thus better customer retention, loyalty building, and service provision), for more efficient processes within the organisation, and more.
A September campaign offering loans targeted at families with school-age children was 10 times more successful than standard approaches without Text Analysis.
Our analysis must make sense and have a mission! We evaluate Big Data using not only proven traditional approaches (we create mathematical/statistical models), but also modern machine learning, deep learning, and text analytics (NLP).
The size of the target audience who received the correct advertisement online increased 10 times with the help of Advanced Analytics and predictive models.
Together with the bank, we used several years’ worth of transaction descriptions and a number of transactions of a specific type to identify a family with children.
Analyses of behavior patterns have shown that customers in this segment spend the most money in September. As a result, the bank offered this family a personalized loan product at the right time.
The approach was 10 times more successful than using standard procedures without analytics on the top of Big Data. Usually, simpler rules are used for credit offers (for example, account balance and credit limit).
Online advertisers want to target their campaigns accurately and reach the right audiences.
Consequently, online media operators have turned to Adastra to help them model customer behavior on the Internet using log data (cookies).
We created predictive models for assessing data on reader demographics using Text Analysis. The solution processes more than 14.5 million cookies daily (more than 100 million records each week). Using Advanced Analytics and predictive models increased the size of the original target group approximately 10 times.
We will contact you as soon as possible.
