Strategic Consulting & Advisory
Industry Data Models
Turn your data into a powerful business advantage with our flexible, industry-specific, and vendor independent Industry Data Models.
Key clients
Vendor-independent DWH Models to Organize, Integrate, and Scale Your Data
01
Telco DWH Model
Experience excellence with the only TM Forum certified Telco DWH model in the last decade.. Discover how to perform advanced analytics and generate valuable insights for business intelligence purposes.
02
Banking DWH Model
Uncover how to leverage advanced analytics techniques, such as predictive modeling and stress testing, to identify potential risks, implement risk mitigation strategies, and ensure compliance with regulatory requirements
03
Insurance DWH Model
Learn how to leverage predictive analytics and machine learning algorithms, insurers can improve risk assessment accuracy, minimize adverse selection, and optimize profitability.
04
Retail DWH Model
Discover how to get insights into which products are generating the most money, which items are not selling well compared to others, which strategies generate better results, what are the trends of your shoppers before, during, and after they make a purchase.
Get a Data Model that actually works for your business, not the other way around
Our Industry Data Models are built with your industry’s unique challenges in mind. Whether you’re in telecom, banking, insurance, or retail, we’ve crafted a solution that makes your data work harder and smarter.
These models don’t just organize your data — they enhance it, making it easier to manage, analyze, and act on. Integrating these models means you’ll be able to streamline your operations, ensure compliance, and get faster, more reliable insights that help you stay ahead of the competition.
Where do Solvership’s Industry Data Models come in?
- Unified data view across multiple systems
Bring together data from various sources within your business, creating a single, clear view that improves decision-making and operational efficiency. - Enhanced decision-making with advanced analytics
Use our structured data models to run complex queries and generate insights that drive informed business decisions. Our models are designed to handle the demands of advanced analytics, enabling you to forecast trends, identify opportunities, and mitigate risks more effectively. - Streamlined compliance reporting
Navigate complex regulatory requirements like GDPR or IFRS 15 with ease. Our Industry Data Models include built-in features that help you meet compliance standards, reducing the risk of costly fines or operational disruptions. - Scalable data infrastructure
As your business grows, so does your data. Our models are designed to scale with your needs, ensuring you can manage increasing data volumes without compromising performance. - Customization for business processes
No two businesses are the same. Our Industry Data Models can be tailored to fit your specific processes and goals, ensuring that the system supports your unique operational needs and helps you achieve your strategic objectives. - Improved data quality and consistency
Say goodbye to data chaos: our models help you consolidate and clean your data, ensuring it’s accurate, reliable, and ready to use whenever you need it. - Faster time-to-insight
With our models, you can drastically cut down the time it takes to turn raw data into actionable insights. This means quicker responses to market changes and more agile decision-making. - Support for business intelligence tools
Our models integrate seamlessly with leading BI tools, making it easier to visualize data, track key metrics, and share insights across your organization. - Operational efficiency and cost savings
By simplifying data management and reducing redundancies, our models help you save time and money, allowing you to allocate resources more effectively across your business.
Our process
Requirements definition
In the first 1–2 weeks, we conduct a series of workshops to establish the general requirements, set expectations, and identify the project timeline.
Model customizations
The model is customized and source-to-target mappings are done based on the functional groups defined during the workshops.
Prioritization
The “Customer, Account & Subscriber” functional group is always the first to be customized; the order of other functional groups is determined according to the client’s priority.
Implementation
Customization and mapping for each functional group may take 4–8 weeks, depending on the complexity of the functional group and source knowledge availability (source documentation or expert knowledge).
What our clients say
Petrol
Ooredoo Algeria
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.
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.