Almaz Monitoring takes control of data quality!

The system takes advantage of innovative self-training algorithms and detects significant deviations of business operational KPIs, financial statements or operational reporting in high load technological processes and big data lakes.

The application simply connects to various corporate data sources, detects possible dysfunctions in real-time and informs you immediately, before business analytics or technological flows suffer from a negative impact.

Solution workflow

Data from various
sources

Standalone, AI-powered, real-time
computer analysis system,
detecting significant deviations

Mobile notifications
and incident management

Solutions for

Telecom
Banking
Energy
Retail
Digital
Services

Business Stories

Telecom

Task

Real-time decision offering should constantly and effectively deliver target offers through inbound and outbound channels. Distribution should be under constant monitoring in order to prevent downtimes and incorrect targeting.

Monitoring KPIs

Hit rate, taker rate, response rate by target offer, region, channel (CRM inbound, IVR, SMS, self-service, mobile app, and more).

Result

More than $600k additional revenue generated due to prevention of loss or consistency in target offering performance.

Bank. Data Science

Task

Predictive modeling must be based on verified and trusted data. Credit scoring, spending segmentation and other data models sometimes give questionable results due to undetected irregularities in temporary malfunctioning data sources.

Monitoring KPIs

Validation by 30,000+ independent models covers more than 500KPI of customer profiles from 12 data sources.

Result

15 percent increase in effectiveness of data science department due to reduced spending on model data verification and bugfixing.

Energy

Task

Automated monitoring of complete technological process to detect overall anomalies and to prevent internal fraud.

Monitoring KPIs

Resource consumption dynamics (coil, electricity) on each technology stage and final product values.

Result

Detection of resource misusage and losses. Comparative analytics of equipment effectiveness.

HelpDesk

Task

Product managers should be informed about anomaly spikes of user tickers.

Monitoring KPIs

Average minute quantification of tickets over reasons for call. Size of waiting queue by each request topic. Fraction of tickets on each stage of Kanban process.

Result

Implemented a self-learning monitoring of anomaly spikes of user activity. Product owners and support managers now start being timely informed of 2nd and 3rd level support anomaly spikes and about dangerous deviations in the resolving cycle.

Web Application Monitoring

Task

Unnoticed web application malfunctions and slow web user interface response undermining the best user experience.

Monitoring KPIs

More than 50 different system performance metrics in Java logs, Oracle log tables, response timings, Kafka and IBM MQ queue sizes.

Result

More than 30 percent of systems malfunctions start being detected and suppressed before getting the ticket from users. Team start monitoring more than 5000 system services and starts reacting on changes of service response time quality, leading to superior user experience.

Digital Content Provider Antifraud

Task

Unscrupulous content provider forces users to activate paid services by deception.

Monitoring KPIs

Dynamics of activation by paid services.

Result

Immediate reaction on unreasonable spikes of fraud activations and reduction in customer claims.

DWH/Data Lake

Task

Financial and operational reports contain inconsistencies due to undetected temporary data corruption in some data sources.

Monitoring KPIs

Data sources data, ODS, DDS, Datamarts (more than 1500 entities).

Result

Implemented improved data verification process in each stage, preventing further data transformation and usage of non-cleansed or non-verified data. Significantly reduced the number of report recalculation after user claims on report inconsistencies.

Retail

Task

Some items cause difficulties during the self-service process due to incorrect product data. This leads to a longer service time and lower user experience.

Monitoring KPIs

Average processing time per item correlated to other items. Cases of self-service cancellation.

Result

Reduced self-service time and improved success rate. Better customers experience.

Event-based Marketing

Task

Abnormal events trigger behavior, leading to less targeted campaigns and revenue losses.

Monitoring KPIs

Event frequency and event queue dynamics.

Result

Revenue increase in sensitive event-based target offers due to improved control of offer availability.

Oil

Task

Effectively deal with high water cut well problem in mature oil field.

Monitoring KPIs

Sensor data (water cut, pump intake pressure, flowline pressure, flowing bottom hole pressures, static bottomhole pressure, etc.).

Result

Increased ultimate oil recovery.

Retail. Loyalty

Task

Prevent incorrect awards.

Monitoring KPIs

Amount of loyalty points per action.

Result

Implemented loyalty points verification system. Prevented cases of significant losses caused by incorrect points calculation and rewarding.

Problems

— Permanent, qualitative data of financial and operational reporting, production aggregates and views are necessary.

— Real-time monitoring of technological, economic and operational KPIs based on big streaming data is necessary.

— Timely response to any emergency situation before it makes a significant impact

Solutions

Almaz Monitoring

— Permanent stand-alone monitoring of streaming data and reporting quality

— Instant report in case of statistically significant deviations (mobile application notifications)

— Self-learning adaptive system trained on available data, tuned by user actions that don't require any expert knowledge

Benefits

Reliable data
Impartial process monitoring
and instant emergency alert notifications
Corporate earnings growth
due to downtime reduction
Prevention of decisions
driven by inaccurate data
Potential malfunction prediction

Presentation

Partner programs

Creating the highest quality product, we particularly value our partners in matters of system integration and implementation.
We want to maximize the motivation of everyone who’s set to contribute to data usage process development in any areas of digital business and production.

Flexible approach and focus on quality results
Training and certification
Established processes of technical and marketing support
An open platform for proprietary partner development and value-added products
Favorable business arrangements
Significantly competitive prices

We’re happy to work with you! Fill out the form, and we’ll contact you!

Contact Us

Get in touch to learn more about Inleksys, our partnership programs and products.


Ekaterina Abramova
Development Manager
+7 (961) 182 96 66
eabramova@inleksys.com