- news
Ataccama sponsors 2022 State of Data Quality e-book by TDWI
08/10/2022
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.
Trusted by
Convert data into business value
- predictive models from historical data
- suggests uses for data generated in real-time
- helps you to find added value in unused data, and much more.
Advanced analytics can turn data into a key value for business.
Your data is the key to further developing your company in the digital era
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.
10x
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).
10x
The size of the target audience who received the correct advertisement online increased 10 times with the help of Advanced Analytics and predictive models.
Tasks for Data Science
Customer Insight
- we describe customers’ characteristics and behavior
- we identify their needs
- we derive new information
- we recognize typical patterns
- we create event triggers
Prediction
- we predict the probability of a particular event, such as
- a customer clicking on your advertisement
- a failure occurring on the production line
Segmentation
- we create groups/market segments with similar customers, while simultaneously ensuring that these segments are substantially different from one another
Text Analysis
- we process data from various text sources, including
- classifying e-mails from customers
- identifying the main content of the message
Analysis of semistructured and unstructured data
- we process and analyze logs, sensor, telemetry and location data
- we can enrich your data and analysis with external sources and open data
Geolocation data analysis
- we enrich the analyzes with location data to calculate:
- driving distances
- nearest stores
- optimal distribution of branches
- availability of communication networks
Product recommendations
- we use data about customer behavior, activities, and preferences to work out what a given customer might want based on similarities to other customers (pattern analysis)
Web analytics
- we extract your data from the web and digital channels
- we evaluate their contribution to sales
- we connect them into a 360° view of the customer and use them in other analyses
Case studies
Banking - just-in-time loan offers - a 10x higher conversion rate
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.
10x greater success
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).
Internet media - an increase in impressions among the target group - a 10x bigger target group
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).
The relevant target group is 10x bigger
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.
Looking for a solution tailored to your needs? Please, leave us a contact, we will contact you.
Thank you
We will contact you as soon as possible.
Dagmar Bínová
Big Data & Data Science Team Lead
Oleg Masajlo
Senior Data Scientist
