DWH Models are world’s leading, industry standard data warehouse solutions for telecommunication, banking, insurance and retail industries
Delivers competitive advantage by enabling the consolidation of clean data across multiple systems
Supports rapid implementation of warehousing solutions with meaningful data
Facilitates a structured approach to subsequent customization and extension of the data warehouse
Data warehouse models
Improve your decision-making process based on quality data using advanced analytics and be a part of digital transformation. Extract consumer insights to learn more about their preferences and reinvent the customer experience.
Gain insight into customer trends and historical data – optimize discounting, improve retention and segment your customer base to effectively acquire new customers. Data warehouse provides the basis for quality analysis of available data by deriving accurate information.
Make informed and data-driven decisions and transform information into meaningful actions. Turbulent times of saturated markets and new regulations, highlight the importance of the availability of the right information at the right time for the (re)insurance industry.
Retail DWH model ® is standard industry data warehouse model applicable for retailers and wholesalers, covering traditional Business Intelligence requirements, regulatory requirements and Big Data Analytics requirements.
Join us at this award-winning event from the comfort of your desk! Be sure to tune in and watch some amazing business leaders speaking, so don't miss out on the opportunity to learn from these visionaries!
We just updated our Data Warehouse Telco model! Version 4.1 brings you two new Subject Areas – Customer Experience and Artificial Intelligence Model.
We are proud to present BBI Consultancy, our new reseller for Data Warehouse data models!
We are welcoming InfoMatrix as the newest addition to our reseller network which will allow our new partner to develop a sales channel in the Pakistan and Middle East region.
The largest digital telco gathering this year goes fully digital series of more than a month of exciting and engaging content that will help you connect, collaborate and co-create more than ever before.
We joined TM Forum, the global industry association that drives collaboration and collective problem-solving to maximize the business success of communication and digital service providers and their ecosystem of suppliers.
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Make informed and data-driven decisions and transform information into meaningful actions.
The logic of the model is following NRF ARTS, as a common reference model that retailers use to describe enterprise management information systems.
Simplify the way you gather data, have a single point of truth and ensure data quality, consistency, accuracy, complexity and the right timing.
Telco DWH model is a standard industry data warehouse model applicable for fixed and mobile telecommunications operators, covering traditional Business Intelligence requirements.
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Contact us today and learn how our Data Warehouse Models helps your business!
Testimonials
We are producing and collecting anenormous amount of data. Implementation of Telco DWH model enabled us to achieve competitive advantage by allowing clean data consolidation across multiple systems, minimized our development cost and helped us transform our business requirements into solution that works best for us.
– Andrija Derežić, CIO at United Group
We are member of the one of the world’s largest mobile telecommunications companies, with over 133 million customers across 12 markets, which speaks a lot about extent of our needs when it comes to managing our collected data. Ooredoo Algeria recognized Telco DWH model as a model that allowed us to reduce the risk of failure, manage our data better and minimize development cost while at the same allowing modifications that we need when we need them.
– Badredine Allouche, Chef de service DWH
Telco DWH model has been proven to be flexible and easy to use which enabled faster time to the market of CT products and significantly easier maintenance. It did not require any changes since the implementation few years ago, besides integration with new systems, which is the best indication of its quality.
– Jovana Mihajlovac, Head of Enterprise IT solutions
Petrol is a company that operates in several industries; Oil and Gas, Retail and Utility. Different business requirements are challenging to fit to same reporting structures. Retail DWH model is covering most of our important business areas. It is flexible, easy to use and modify so implementation of selected Subject area is quite fast. Subject areas designed in the model are also great reference for Business Analysts when elicitating and structuring business requirements.
– Andreja Štirn, Director business intelligence
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Resell one of the most comprehensive and prominent data warehouse solutions for telecommunication, banking, insurance and retail industries.
Latest Blog posts
Data Democratization starts with Data Governance
There is no consensus of where the data democratization process begins and where it ends. It is a complex strategy with many proposed steps for data democratization to drive businesses. Each and every organization is unique and should define its own democratization steps according to its own needs, challenges, risks.
Data democratization | Why is it Important for Your Business in 2021
In a world lead by data, an enormous amount of data is getting generated every second. We know by now that a data warehouse adds a significant value to an enterprise, helping to improve decision-making processes, but what about access to the raw data? By implementing data democratization, you enable everybody in the organization to take advantage of data-informed decisions.
Data Analytics in Event-Driven Economy
World and business are changing rapidly, and analytics is changing too. I will not talk about technical terms that are very popular now – Data Lakes, unstructured data, real-time analytics, Data Science, artificial intelligence, and other nice things everyone is talking about in the last few years. Instead, I would like to emphasize the change from a process-driven economy to an event-driven economy and what it brings to the analytical landscape.
Data Democratization starts with Data Governance
There is no consensus of where the data democratization process begins and where it ends. It is a complex strategy with many proposed steps for data democratization to drive businesses. Each and every organization is unique and should define its own democratization steps according to its own needs, challenges, risks.
Data democratization | Why is it Important for Your Business in 2021
In a world lead by data, an enormous amount of data is getting generated every second. We know by now that a data warehouse adds a significant value to an enterprise, helping to improve decision-making processes, but what about access to the raw data? By implementing data democratization, you enable everybody in the organization to take advantage of data-informed decisions.
Data Analytics in Event-Driven Economy
World and business are changing rapidly, and analytics is changing too. I will not talk about technical terms that are very popular now – Data Lakes, unstructured data, real-time analytics, Data Science, artificial intelligence, and other nice things everyone is talking about in the last few years. Instead, I would like to emphasize the change from a process-driven economy to an event-driven economy and what it brings to the analytical landscape.
Top 8 reasons why you need Data Warehouse
According to Bill Inmon – the father of the data warehouse, “a data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in
