Contact us Big Data
Machine Learning
Data Science
We build and deploy analytics systems
Forecast sales, detect fraud and identify customers at risk of leaving.
Our services
Consulting
- Define the business problem and identify the data you’ll need
- Choose technologies and identify the skills your team needs
- Write the technical brief and build the case for the investment
- Test the idea with a prototype or pilot
Custom development
- Define the problem and write or refine the technical brief
- Choose technologies, assemble the team and estimate the timeline and cost
- Agree on a delivery plan and build the software in stages
Analytics
- Identify the metrics you need to make a decision
- Analyze past performance and forecast future trends
- Build reports and visualizations for your team
Implementation and maintenance
- Integrate software into your existing systems
- Diagnose and resolve software issues
- Retrain models and update software
- Support users after the system goes live
Recruitment
- Find specialists to work with your data
- Agree on the skills and experience the role requires
- Write a clear job description
- Interview candidates against the requirements
Have a different project in mind?
- Tell us what you’re trying to do and we’ll discuss how we can help.
Examples of industry solutions
Recommendation systems
Fraud detection
Scoring models
Workforce analytics
Customer churn prediction and prevention
Campaign performance analysis
Sales forecasting
Customer behavior and profiling
Sales strategy evaluation
Project results
75% average reduction in store inventory
Objective:
Reduce inventory while keeping products available in stores.
In 97% of observations, actual sales fell within the forecast range
Solution:
The model forecasts a range of weekly sales for each product in each store, up to a year ahead.
Tools: R, Python
Algorithms: XGBoost, CART, k-means
10% maximum difference
from the expert forecast
Objective:
Automate financial planning at head office by forecasting regional spending.
Over 120 cases of fraud
detected in the regions
Solution:
We integrated a tool built with KXEN and SAP BI into the client’s systems. It uses historical spending and regional economic indicators to forecast costs, detect fraud and adjust the budget.
Tools: R, KXEN, SAP BI
Algorithms: KXEN time-series algorithms
At least 9 subscriber segments for targeted campaigns
Objective:
Group customers for targeted campaigns and identify subscribers who also use competing providers.
86% accuracy in identifying subscribers who also used a competitor’s services
Solution:
The system groups subscribers and describes each segment. It estimates how likely each subscriber is to use another provider.
Tools: R, Python, Spark, Hadoop, Hive
Algorithms: XGBoost, CART, k-means, k-medoids, t-SNE
8 data sources connected
Objective:
Identify and prevent product losses and detect declines in the quality of petroleum products.
Over 1,000 incidents detected
Solution:
We connected the data sources to a Hadoop platform and set up processes to extract, transform and load the data. We built analysis modules and a web application for analysts.
Tools: Python, JavaScript, Shell, SQL, Hadoop, HDFS, Spark, YARN, Hive, Tez, Hue, ZooKeeper, Luigi, Kafka, NiFi, PostgreSQL, Microsoft SQL Server, Oracle, PI System, Django, AngularJS, Bootstrap, CSS, Docker, CentOS/RHEL
In over 80% of cases, the confirmed diagnosis was among the model’s top three predictions
Objective:
Help doctors assess possible diagnoses using readings from patient monitors.
98% probability that the condition the model considered least likely in the group was absent
Solution:
The model used readings from patient monitors to estimate the probability of each condition in a defined group and rank the possible diagnoses.
Tools: R
Algorithms: GBM, AdaBoost, k-means
Our clients
Where we’ve delivered projects
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Finance
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Industrial production
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Energy
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Construction
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Media
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Insurance
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Local government
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Healthcare
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Tourism
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Housing and utilities
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Logistics
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Marketing
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Telecom
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Public administration
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Trade
The AJ team
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Our team includes specialists with at least 10 years of experience working with data
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Over 40 completed projects
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We take projects from the initial question to deployment
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We support systems after launch
AJ builds software for business analytics.
We combine and clean data from different sources, build models and present the results in charts and reports.
We combine and clean data from different sources, build models and present the results in charts and reports.
Technologies we use
Tell us about your challenge
Tell us what you want to achieve and what data you already have.