- Article
Using Data Quality to Enable Customer Centricity
28. 01. 2021
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millions end users
of one of our apps
digital transformation projects
countries in which we have run digital projects
years of experience in facilitating digital transformation
instead of hours for customer onboarding
increase of ARPU in the monthly fee
incoming customer requests resolved automatically
increase in operating profit
reduced paper use across the company
reduction of fraud levels
fraud decrease
ROI
A large Czech mobile service provider, even though it had implemented a rules-based system and authentication of new customers, suffered from subscription fraud and tried to curb it.
accurate detection of the number of store visitors
T-Mobile wanted to offer customers a great shopping experience built on experience and hard data about their behavior.
Adastra leveraged IoT for people counting, face detection, product interest and other analytics. Data is gathered using sensors, facial recognition and mobile motion monitoring.
T-Mobile has real data about visitors and their demographics and analysis of customer interest in products and sales correlated with marketing campaigns.
ARPU fixed in monthly fee
T-Mobile has made it a goal to reduce attrition during time extensions and migrations. Segmentation should enable the creation of strategies to communicate effectively and maintain/increase profitability.
Adastra has created an individual offer for each client consisting of a basic tariff, a discount and a non-public offer. We also introduced a value-based index as an immediate indicator of the long-term impact on gross margin. In this way, we improved renewal success rates, discounted tariffs had a neutral impact on gross margin and a 10% increase in ARPU fixed in the monthly fee.
months to complete the migration
attributes of physical reports analyzed
Vodafone wanted to migrate the commission performance reports to the new EDW with a complete project that included the definition and set of new processes, new data flows and the implementation of new technology. Adastra carried out the following actions: analysis, implementation of data-maps for commission related data. The solution was delivered as a bespoke set of spreadsheets and procedures.
And the result? Vodafone's reporting runs without a hitch. The waterfall project turned semi-agile due to the high level of change at the business strategy level.
It took only 3 months to deliver the complete solution
faster data upload
We developed a financial data warehouse and reporting platform for a leading investment and debt recovery company. The ADASTRA DWH-IN-THE-BOX solution fulfills common business requirements in a set of standardized and customized technologies.
The result was faster time to market, enthusiastic finance users, quality, reliability, automation.
The client also appreciated all the necessary components in one place (BWF, ETL, DWH, OLAP, Reporting).
faster problem identification and resolution
We provide application monitoring for clients from banks, insurance companies, telcos and e-commerce.
We have implemented Dynatrace for them - a platform that offers end-to-end insight into critical applications and digital user experience. With AI, it enables quick and easy decisions on actions taken. According to Gartner, the Dynatrace platform is a leader in its field.
saved
messages resolved automatically
The European peer-to-peer lending platform wanted to reduce the burden on customer support staff.
Adastra trained a natural language processing model to identify useful information and define templates for automated responses to incoming emails.
More than 80% of incoming messages were correctly classified from the first day the solution was deployed.
of billions of records processed per day
One of the main Internet providers in the Czech Republic wanted to find a solution for storing large amounts of metadata about network traffic with a strong emphasis on smooth operation and high availability of the new solution. Adastra designed and delivered a purely generic data platform that provides excellent computing performance and whose disk capacity can be easily expanded according to the client's future needs.
The result is a big data platform with maximum performance, versatility, 24/7 support and reporting.
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