Reporting, research and modelling solutions

Kyivstar Data platform

Consolidate and analyze data from various sources, automate reporting, make predictive analytics, and develop modelling.

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Kyivstar Data platform (Data Warehouse, DWH) is a modern tool that allows you to analyze a holistic information picture based on data from various sources. Make the most informed decisions for your business quickly and accurately.

Benefits of Kyivstar Data platform

Consolidation of different data types

Combines data from any source: Excel, ERP, Dynamics, Terrasoft CRM, Google BigQuery, SAP HANA, YouTube, Google Ads, Facebook Ads, messengers, bots, any data from the Internet, etc.
External data, including data from the telecom operator Kyivstar can enlarge it. For example, this may include public data on competitors, market dynamics, existing and potential customers.
Stores data for an unlimited period. You will be able to use historical data, and it will be protected from cyberattacks and other threats.

Data quality is guaranteed

Kyivstar Data platform has an automated system to control data quality and completeness. If an error or any anomaly is detected in the data, you will be informed about it.
It allows you to eliminate the need for manual reporting. This minimizes the human factor and helps to eliminate mechanical errors.
It collects the latest versions of data and serves as the only source of reliable information in the company.

Reporting and modelling automation

With Kyivstar data platform, you can:

Generate Power BI reports automatically to save time and resources.
Create complex visualisations in Power BI to present analytics results in a more presentable and understandable way.
Access analytics from any device (mobile phone, tablet, laptop).
Develop predictive modelling and data science in the company to improve production, increase sales, and enhance customer experience.

Kyivstar’s experts will help you create analytics so that you can get up-to-date data from any source, process it automatically, and make decisions quickly. Visualization will make any work with data easier; it will allow you to track patterns and exceptions and help you present research results to a wider audience.

Using modern cloud infrastructure based on Azure Cloud

Azure Cloud storage allows you to store as much data as you need – securely and without the cost of your own infrastructure. You can pay only for the actual storage usage and access your data anywhere and anytime. Kyivstar is a Microsoft Authorised Partner, so you will get favourable tariffs, assistance with connection and further support to use Azure Cloud successfully.

Benefits of Azure Cloud

No need to buy your own servers and spend money on maintenance

You can quickly launch new projects or scale existing ones (for example, during peak periods)

Closed network infrastructure and triple redundancy guarantee data security and availability

Transparent pricing means that the price list for services is available on the Microsoft website

No additional licenses for connectors to external systems for data exchange

You can use standard technologies for data processing and storage (Spark, SQL) without vendor dependence

Convenient data management via mobile applications

Kyivstar managed service means favorable tariffs for storage, assistance with connection and further support

Example of use

Client portrait

Kyivstar's product “Customer Profile 360” is an excellent example of the use of consolidated data and analytics. It combines all available customer data from different sources in one interface. This makes working with clients much easier and more efficient. For example, a sales manager receiving a call from a customer can instantly check who the customer is, when and what purchases they made before, how long they took to decide, what else they were interested in, what their needs and concerns were, etc.

Advantages:

Collects all available customer data (including data from Kyivstar) in one interface
Reduces the number of systems used by employees
Reduces the time spent searching for the information they need

FAQ

What systems does the data platform interact with?

With any internal or external systems, for example, Excel, ERP, Dynamics, CRM, Terrasoft, Google Big Query, SAP HANA, YouTube, Google Ads, Facebook Ads, websites, any data from the Internet, or other data sources.

What framework is the data platform built on?

On the Microsoft Azure cloud platform using the following tools for data processing and visualization: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics.

Is it safe to store data in the Microsoft Azure cloud?

You can find important security certificates for the services at these links. Due to the high requirements for such services, storing data in the Microsoft Azure cloud is completely safe.

How does the data upload work?

Data uploading is fully automatic with the help of special platform components.

What tool is used to create reports and visualizations?

Dashboards and reports are created in Microsoft Power BI.

Can the customer company develop and maintain the data platform on its own after implementation?

Yes. Kyivstar does not use any closed technologies, the software code belongs to the customer company. Kyivstar can also provide comprehensive training to support the system.

What are the terms and costs of implementing a data platform?

The duration and cost of implementing a data platform depend on the customer's needs and the specifics of their existing systems. Therefore, before starting work, we carry out a detailed analysis of all factors and calculate the scope of tasks, estimates and deadlines.

When building a data platform, do you need to cover all the company's functions at once, or can you implement the new system in stages?

Kyivstar usually suggests starting with a PoC/MVP, i.e., a small project. It lasts 1–2 months and allows you to evaluate the actual benefits of the data platform. After that, you can decide whether to continue working and set priorities.