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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.
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 are constantly working on delivering the best possible version of our Data Warehouse model and are proud to present the 1.5 version of PI Insurance DWH model.
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.
Optimize your business
Contact us today and learn how our Data Warehouse Models helps your business!
Testimonials
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
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
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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
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
What are the main building blocks of Data Warehouse models?
In the previous and first blog in this series, we have tried to answer the question: Why do we need Data Warehouse models? In this blog, I will focus on model architecture and continue the analogy that I have used in the first blog – how is building a house similar to building a successful Data Warehouse.
Why do we need Data Warehouse models?
If you are in telco, retail, healthcare or any other business, this business is the field where you are strong. You are not a Data Warehouse Architect, and if you want to implement a Data Warehouse system, you need somebody experienced in that field and a blueprint that you will use as standard and guidance.
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
What are the main building blocks of Data Warehouse models?
In the previous and first blog in this series, we have tried to answer the question: Why do we need Data Warehouse models? In this blog, I will focus on model architecture and continue the analogy that I have used in the first blog – how is building a house similar to building a successful Data Warehouse.
Why do we need Data Warehouse models?
If you are in telco, retail, healthcare or any other business, this business is the field where you are strong. You are not a Data Warehouse Architect, and if you want to implement a Data Warehouse system, you need somebody experienced in that field and a blueprint that you will use as standard and guidance.
Risks, costs, quality and timeframes in DWH projects
In the first two blogs in this series, we have tried to answer the questions Why do we need Data Warehouse models and What are
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Latest blog posts
