Cinchy Platform Overview
There's a tsunami of change driving the demand for new applications
IT teams are being pushed to build new apps faster than ever. There are new challenges to unlock cloud efficiencies, meet new privacy regulations, and meet client needs. The trouble is that no matter how fast you build, you're going to end up with the same problem. Today's ‘app-centric’ model means that every new app we build is a new data silo. And, we all know the story from there, more data silos lead us to more integration, more complexity, and ultimately more suffering for our IT teams.
Data-centricity is emerging as a new way forward
There is a major shift happening in IT towards data-centricity that means every new build is NOT a new data solo. Data-centricity breaks down the silos of rigid legacy systems and unlocks true intelligence for the enterprise. It does this by decoupling data from applications where it can be managed as an interconnected network. All of this means an end to point-to-point integration and a beginning for dramatically shorter build times, lower project costs, and a new level of intelligence for your organization.
Intelligence is the new oil
Forrester shows Insight-driven business are growing at an average of more than 30% every year. By 2021, they are expected to take $1.8 trillion worth of business from their less-informed counterparts.
Data Fabrics are rapidly emerging as a data-centric technology
Data Fabric is a rapidly emerging category of data-centric technology that is gaining with recognition from leading analysts. Global enterprises are already leveraging Data Fabric for its ability to unify data, accelerate digital transformation, and maximize data value. It eliminates point-to-point integration, with existing systems only needing to be connected to the Fabric once.
This frees up a tremendous amount of IT resources, but it's only by adding the power of Autonomous Data Management that Data Fabric reaches its full potential.
Cinchy’s unique Autonomous Data Fabric uses a network-based architecture inspired by the human brain, enabling real-time collaboration and making applications a thing of the past. Data can be born natively on the Fabric, where logic is managed as data, and highly configurable controls (like versioning, recycle bins, erasure, change approvals, and others) take zero effort. This frees up 50-80% of enterprise IT capacity compared to current efforts, unlocking massive time and cost savings and giving you a clear advantage over your competition.
The Autonomous Data Fabric eliminates data copying and offers the first real evolution of data in nearly 40 years. It’s also the first time in the history of data that it has become easier to collaborate on and easier to control.
Leverage the platform to accelerate the delivery of super-intelligent business capabilities
Business teams can directly access, view, and edit data through a business-friendly UI without requiring IT resources. Allowing direct access to data cuts down on integration times and centralizes data controls and API/data management. All of this happens within a unified experience that adapts as the data fabric evolves.
Granular data controls persist across users, applications, and systems. IT teams can set permissions once per dataset, instead of with each new application, and business users can easily set a variety of controls on the data that they have ownership over.
Metadata Plasticity Engine
Plasticity makes it possible to federate development using a shared data platform. Your IT team can make changes to systems and data models without breaking downstream or upstream dependencies. Plasticity allows for rapid changes to business processes, and removes the limits placed by data structures.
Active Metadata Engine
Automatic metadata creation and management evolves as your fabric grows. This allows your IT team to understand complex structures as the fabric evolves, without worrying about managing extracts in a separate system. It enables total discoverability, as you can access and manage all metadata through a unified experience.
Autonomous Data Management
Data can stand on the fabric without the need for an app-specific datastore. This autonomous data allows IT teams to easily make changes to data models and add new capabilities to existing apps, while business teams can operationalize their own datasets without requiring IT to stand up a new datastore.
How the Autonomous Data Fabric is being applied in the real-world
Companies are already using Cinchy’s Autonomous Data Fabric to create new solutions. Here are a few examples of what they’re able to accomplish.
Concentra Bank connected 35 credit unions to a Data Fabric, enabling distribution of $200M for COVID-19 relief. This was delivered with Cinchy in just 5 days.
The YMCA of Greater Toronto
The YMCA of Greater Toronto used Cinchy to augment their existing legacy systems, creating a hands-free solution for monitoring facility entry during COVID protocols.
Why embracing data-centricity is key
Companies who adopt a data-centric approach can improve their enterprise IT capacity by 50-80%. By managing logic as data and using controlled data access instead of shared data copies, you’ll be able to build faster and better solutions than your app-centric competitors while taking advantage of unique capabilities to protect data privacy and create meaningful data ownership. Cinchy’s Autonomous Data Fabric is one of the only ways to achieve enterprise intelligence and enable a data-centric approach to building new technology.
Take a deeper-dive with the
Data Fabric learning series
Super-charging your existing technology investments and leveraging a data fabric to enable a hybrid approach while saving you significant costs.
Learn about how you can take a data-centric approach to deliver the outcomes you're after 10x faster… and no, this isn’t a low-code platform approach!
Dan, our co-founder and CEO, discusses how our technology works in an enterprise environment and how it supports your long-term goals.