Data Products.
Meet Business Expectations by Leveraging Data Products
Learn how our Data Products can drive efficiency and profitability in your manufacturing business. Data Products are clearly defined solutions that align with your business objectives and satisfy business needs by leveraging domain knowledge and data.
Standardized Data Products
Our standardized data products are ready-made solutions that leverage our extensive expertise in finance, profitability, sales and operations, and compliance, among other areas, where we have pre-built data models and integrators ready to use. We’ve successfully implemented these solutions multiple times, ensuring fast delivery and effective integration.
Co-build Data Products
Collaborate with us to develop new data products to fulfill common industry needs. Our co-build approach follows a structured seven-step methodology, which involves defining success metrics, creating standard data marts, and designing the output. We are particularly interested in collaborating in areas such as IoT, digital factory, quality, supply chain, and production.
Custom-build Data Products
For your unique requirements, we also offer the option of custom-build data products. We create data products that fit perfectly within your specific operational context using our talent and an iterative, agile approach.
When deploying standardized data products, we minimize lengthy workshops and interviews. We understand the common issues manufacturers face and focus on quickly delivering value and translating business needs into standard solutions.
How We Work
With You
Benefits
Tailored Data Solutions
Select from standardized, co-build, or custom-build options to meet your specific business needs.
Scalability & Flexibility
Our data products grow with your business, providing adaptable solutions that evolve with your changing requirements.
Proven Outcomes
Experience improved decision-making, increased efficiency, better resource management, and enhanced profitability.
Frequently asked Questions
How does your 7-step methodology work?
Our 7-step methodology transforms raw data into actionable insights by following a structured, end-to-end process. Here’s an overview of how it works:
1. Scoping: We start by understanding the data sources and modeling rules and mapping them to the required data points, building a solid foundation for the entire process.
2. Landing: Next, we secure the necessary accesses and ingest raw data into the data lake, ensuring it’s ready for processing.
3. Staging: We reshape, organize, and load the data, preparing it for further analysis within the database.
4. Intermediate: We perform light modeling required to standardize the data across sources with the clear terminology for the organization and allow for easy analytics
5. Data Marts: We create structured datasets by that align with specific business areas and include all relevant business logic, rules and exceptions to answer key domain questions.
6. Validating: We validate the data to ensure its accuracy and reliability, maintaining high standards of data quality.
7. Operations: Finally, we continuously monitor and maintain the data and systems, ensuring ongoing performance and data integrity.
Each step includes a go/no-go gate to ensure alignment and quality before proceeding. This approach improves speed, transparency, and efficiency, providing a robust framework for transforming data into valuable business insights.
What is a Data Mart?
Data Marts are specialized data tables focusing on an organization’s specific area of interest. They are inside data domains. They store a subset of relevant data for a particular group of users, allowing for targeted analysis and reporting.
