Our key services & practices are:
- Future-ready business solutions
- Agile Digital Transformation & Data Governance
- Enterprise Data Management, Data Engineering & Acquisition
Future-Ready Business Solutions
Together, let’s anticipate the future and start building the solution which fits to your strategic purposes:
- Artificial Intelligence (AI), Operational & Business Insights (BI): we help construct operational solutions with the help of Machine Learning (ML) or Business Intelligence (BI) in order to generate operational or business insights for your decision making process. AI & BI help discover new correlations, optimize operational tradeoffs as in manufacturing, logistic and any management problems. One of the biggest challenges and prerequisites for successfull running AI & BI solutions are the access to high-quality data-sets and even better, enterprise-wide data products.
- Cloud-based operations, Data Engineering & Acquisition: To automatize more and sustain the data-ecosystem, it starts with a strong architecture. Poor enterprise architecture solutions do not scale on the medium/long terms and provide poor benefits, typically for sustainable business model, AI-driven decision tools, smart automation systems, scalable IT infrastructure. Mature integrations are built in a way to ensure highest level of sustainability in the data-reusability, data-quality and business-value. For example, with the help of API and data-catalog, data-products can be self-served and benefit to the whole company across divisions.
Agile Digital Transformation & Data Governance
Digital disruption enables the exploration of fresh and new use cases which provide tangible opportunities. A digital transformation starts with a clear strategy and change management process to implement & test the needed changes withing the digital ecosystem. Our service in agile digital transformation helps organizations to quickly start leveraging technology to enhance efficiency, streamline operations, and drive innovation for long-term growth.
Data Governance tends to identify and establish the various roles with key responsibilities in relation to the organization’s data for strategic decision-making. It supports the implementation of mechanisms, tools, control rules and data management processes that ensure the understanding, quality management, flow and sharing of operational data. Our Data Governance practice ensures that the right people have access to high-quality, in a secure way and that data is exploited systematically and to the fullest extent possible by the organization and between organizations suppliers.
Use-case: Hyperconnected Data Hub
by setting up an hub (data platform) with Informatica and the appropriate BI tool our team succeeded to elevate the data-quality from 64% to 95%. We have ended 10 years of poor or none-existent data-quality management by leveraging and scaling up our lean-agile iterative approach.
Poor data quality costs organizations an average of USD $12.9 million each year.
Benefits our customers reported:
- High level of data quality management thanks to consistent automatic data control routines
- Optimize overall costs of enterprise data-management by reducing the complexity and the manual effort of data sheets
- Enable “plug & play” consumption of data for tier systems and/or any other data-needs
- Single source of truth of data and therefore solve the critical issue of having multiple conflicting versions of data
- Empower analytical insights for informed decision-making process in business, operation and/or IT
- System-independent core data which ensures and ease system decommissioning and data-migration
- Decrease the complexity of an integration IT landscape (data-flows) by decreasing the number of point-to-point interfaces
- Building up the actual data-governance by having the “right” data-curators/owners at the table
