Faster development of data applications
Accelerate your development deliveries with repeatable service catalogs
For many IT departments, their task in delivering new applications based on data is made more complex if attempting to consolidate different sources of data from a diverse, complex legacy data architecture. Understanding the data that business users need is made even more difficult when there isn’t a common way of finding data definitions and each type of data requires a different access method.
The Data-as-a-Service approach of the Datasynthesis Platform means that developers use standard service catalogs for finding and retrieving enterprise data, accelerating project delivery through a repeatable approach to accessing high quality data. Based on a Common Data Model, data, its transformation and flow for the new application are transparently available to all, leveraging and building on what has gone before.
Data Collaboration for All
Self-service data access and analysis
IT staff, data experts and business users all want easy access to high quality data. The Datasynthesis Platform offers everyone the data they need, where they need it and when they it. A single set of services to find data, to improve data quality in tools such as Slack and Microsoft Teams, to access data in all major programming environments and to analyse data in BI tools like Microsoft Power BI and Tableau. The Datasynthesis Platform is the technology foundation for encouraging data collaboration, a foundation that can help reduce complexity, reduce costs and encourage innovation with data.
Simplify your data ecosystem
Single service, multiple workloads
Data management is often said to be about removing silos, but many legacy data management tools ultimately create more silos than they remove. Different tools for specific data types. Separate tools for data governance, data integration, data quality and data mastering. Multiple separate databases to cope with ever-higher data volumes.
Utilising the Datasynthesis Platform’s cloud-native scalability and concurrency, it offers a more integrated approach to enterprise data quality. Instead of more and more instances of different data tools being installed, one service is simply applied to each data workload, and the platform automatically allocates the resources necessary to get the job done.
Near-zero systems maintenance
Use less resources on the mundane, focus on the strategic
Putting aside the direct licensing and support fees incurred in many legacy data architectures, so much resource is deployed simply to maintain systems, optimize databases and in the general administration of IT. Organizations need to free IT resources to deliver on strategic business initiatives rather than on the tedium of maintaining the status quo.
The cloud-native design of the Datasynthesis Platform means that scale and capacity issues around processing, storage and user concurrency are no longer constraints. The platform’s modern, serverless design means that it automatically scales to meet the agreed performance service levels. Combined with a no-code approach to enterprise data rule management, the mundane maintenance workload for IT is drastically reduced, enabling greater focus on projects that can deliver new value to the business.
Decouple IT and data to the benefit all
Less time on data requests, more on strategic delivery
For many IT experts, it is frustrating to receive seemingly ad-hoc requests from data professionals to correct some data issue, particularly when these requests compete for time with the project deliverables you have been tasked with. And for many data experts, it is frustrating that many organizations use data quality tools that need programming skills to monitor and improve data quality.
Adopting a self-service approach, the Datasynthesis platform offers no-code data governance and data quality management. This increases the productivity of the IT expert as data issue are left to the people who know the data best and frees the data expert from dependency on IT time and resource. Combining this approach with the scalability of the platform enables data experts to ask questions such as “Tell me about any data issues right now” and receive enterprise-scope responses in real-time, delivering a new level of transparency for enterprise data quality.
Provision with security and trust
Secure, governed access to your data
Data security is a key concern for all organisations. Regulations such as GDPR have driven many security initiatives, but in addition the sheer reputational damage of a data breach is something that is unquantifiable for many. In a data architecture of comprised of many legacy tools with complex cross-dependencies, it is unsurprising that weaknesses exist and are difficult to mitigate.
The Datasynthesis Platform provides a single set of secure services for accessing enterprise data. These services take care of authorizing users, authenticating credentials and granting access to only the data they have been permissioned to see, based on their role in the organization. Given the scalability of the platform, point-to-point and departmental tools can gradually be rationalised as you move towards a modern data architecture.
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Please contact us if you would like to discuss how you and your colleagues can spend less time on data issues and more time on strategic delivery, based on a modern data architecture designed for incremental deployment.