MongoDB Atlas
MongoDB Atlas stands out as the leading cloud database service available, offering unparalleled data distribution and seamless mobility across all major platforms, including AWS, Azure, and Google Cloud. Its built-in automation tools enhance resource management and workload optimization, making it the go-to choice for modern application deployment. As a fully managed service, it ensures best-in-class automation and adheres to established practices that support high availability, scalability, and compliance with stringent data security and privacy regulations. Furthermore, MongoDB Atlas provides robust security controls tailored for your data needs, allowing for the integration of enterprise-grade features that align with existing security protocols and compliance measures. With preconfigured elements for authentication, authorization, and encryption, you can rest assured that your data remains secure and protected at all times. Ultimately, MongoDB Atlas not only simplifies deployment and scaling in the cloud but also fortifies your data with comprehensive security features that adapt to evolving requirements.
Learn more
DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
Learn more
DecisionsFirst Modeler
This is a one-stop shop that allows you to create decision models, to draft decision logic, to link to additional resources, and to act as a front end to your BRMS. DecisionsFirst Modeler allows you to model decisions as part your requirements process. It is based upon the Decision Model and Notation standard to future-proof both your decision models and skills. Using DMN decision models to solve decision-making problems is more productive, easier for Subject Matter Experts (SMEs), faster than traditional methods. Decision modeling allows you to combine analytics, AI, rules and machine learning in one model. Decision modeling with DMN is essential for the future success of your business. Decision Management Solutions is the experts in Decision Management and Decision Modeling.
Learn more
DecisionBuilder
Analytics lose their value if the insights they generate are not actionable. With DecisionBuilderTM, business users gain autonomy over decision management, allowing them to formulate and implement business rules and analytical workflows independently of IT assistance. For small and medium-sized businesses, navigating decision management can be particularly daunting. Often, essential business logic and processes remain entangled in code, leading to lengthy and cumbersome alterations. A more effective strategy is to utilize rules to steer these processes. As a legitimate business solution, DecisionBuilderTM prevents decision management from becoming a significant hindrance to leveraging and scaling data-driven analytics. This platform enables you to concentrate on strategic development and optimization. Integrating business rules, analytics, and operational processes is not only quick but also user-friendly, simplifying both administration and testing. Ultimately, DecisionBuilderTM enhances the speed, convenience, and flexibility of implementing analytics and data-driven business rules, empowering organizations to adapt more rapidly to changing market conditions.
Learn more