Unify your data modelling and processing to ensure data integrity, validation and transactional performance.
Built from the ground up for growth, scale and speed across multiple applications and deployment models.
Synchronization with a variety of industry standards-based RESTful web services and OData as well as I/O tools for data exchange.
Moving data is one thing, ensuring that your data remains intact, validated, and status-monitored is the next level of assurance that your data is not only fast, but self-validated for performance completion and accuracy.
Greatly improve user productivity and integration flexibility, scalability and expandability over custom manual coding. Hand coding, either by IT workers writing SQL scripts or business people using spreadsheets, is still being done extensively in organizations. This isn't just being more efficient, it's a business model enhancement of your brand.
ETL automation tools have evolved and matured into robust workflow processes. It's no longer enough to just transfer data – error handling, robust validation and data governance are now central to the value proposition offered by ETL tools.
It used to be enough to call a single database lookup, something a reasonably capable on-staff IT database engineer could do. Workflow Automation and real time systems need deeper awareness of stored procedures and processes, these go well beyond simple SQL queries of old making changes and dependencies more complex, consuming and valuable to your bottom line.
Global privacy legislation including GDPR is already here. Regardless of your geographic headquarters, chances are, your reach, suppliers, or vendor providers are, in some way, touching on areas where compliance is mandatory at some level. A managed Data Integration Platform strategy provides the model through which you can strategically mitigate data flow and geo-located positioning.
Effective decisions depend on aggregated, calculated, and time-series data values in a data warehouse—data and data structures that wouldn’t exist without data integration. Your business performance depends on aggregated team participation and KPIs from all business entities. This is true whether operations are within a single enterprise or separate entities that share data.
Value Proposition for organizations can vary from single performance systems, to comprehensive data conversions, replication, and synchronization. ROI is already significantly faster and larger with the maturing of Data Integration platforms.
Every department needs data to understand, evaluate, and dive into all aspects of operations. They need to understand Financials, Growth initiatives and trajectories, Marketing effectiveness and opportunities, Customer Service interactions and responsiveness, Inventory availability and supply chain performance, and so much more.
With the right tools, strategy and growth vision in place, a myriad of opportunies will begin to open for your organization. It needs a bedrock, however, without which your team cannot see the larger play. When your departments, data flow, workflow automation, and operational speed move to the next level, your organizational culture transform with it, to a next-level performing company where you are not grinding out single queries and menial manual reports, instead higher level analysis, and strategic trajectory decision making that gets so much more value out of your team, and provides so much more for your brand.
Operational Data Integration (OpDI) takes many forms within the operational application exchanging, migration, consolidation, and collaboration of data. This usually continues 24x7 in diverse industries from supply chain to manufacturing, to financial and insurance. Scale and compliance are very often the drivers that necessitate Operational Data Integration.
Application Integration (also referred to as Enterprise Application Integration) is the sharing of continual processes and data between applications in medium and large enterprise. This form of constant systems-level communication has become mission critical to connect sometimes widely separate applications to create additional value across enterprise departments, locations, and disciplines to drive value for customers, the brand, stakeholders, and reduce costs.
Regulatory change and platform evolution drives the need for a flexible data integration framework, compatible with changing standards as well as vision and execution growth. Understanding that standards evolve, and demands evolve is central to selecting a Data Integration platform that has the capability to shift with compliance, vision and entity ownership standards and demands. It is precisely the foundation of the high-quality infrastructure of SMARTSync that allows business the flexibility to change compliance objectives over time.
Data Integration, Location Intelligence, as well as Data Location are intertwined in a complete data architecture and integration strategy. While some data is enterprise-wide, employing location awareness improvess decision-making and planning. Employed with MDM, your location-aware data model can be leveraged for geo-specific performance as well as customer-delivery compliance with local jurisdictions as well as KPI and targetted reporting.
Extract, Transform, and Load your data. When you extract you determines how your data source ties into your system. Your transform process manage and model into events, locations, quantities, and other meaningful data. Useless or erroneous data are set aside for later inspection. The final load phase determines whether what will finally be done with the transformed data batches of data.
There is an important distinction between Data Integration and Application Integration (or Enterprise Application Integration – EAI). Uniting the databases and workflows associated with business applications to ensure that the business uses the information consistently and that changes to core business data made by one application are correctly reflected in others. component technologies, including microservices.
Reducing the burden of workflow integration is key to growth as so much of business process relies on common touchpoints. Event-driven triggers and decision-making already move beyond traditional interfaces as SME moves towards microservices and event-driven applications to boost their automation.
Build interactions in areas such as IoT (Internet of Things), reengineered Business Application Workflow, Data Deduplication and Standardization are a few examples of use cases leading to improved speed, reduced burden of workflow, validation, and data transformation best practices.
Interoperability is not just about rise of connected devices and smart systems nor about gathering data in your real time supply chain flow; it's about being able to put that information to use to drive better operations. Emphasizing on collecting and acting on data in the most expeditious and intuitive ways possible and integrate it across lines of the business supply chain.
The right data integration strategy puts your distributed team, vendors and customers at the forefront of real-time operations and sales. This level of mobile and global reach changes how you and your customer think about your brand and interact with you.