AInalytics help customers shifting to an operating model that treats data as products to make data quality easily findable and accessible for development teams and reduce the total time to execute use cases by three to six months.
Customers that establish clear ownership of data can vastly improve quality and increase the efficiency of technical and business teams. This effort can also cut IT spending by 10 to 20 percent by alleviating duplication efforts for data development teams and consolidating IT systems and licenses.
AInalytics offers significant benefits that can be achieved with the right operating model and the right team structure—but these shouldn’t be excuses for not investing in the underlying technology backbone. Often, the improvements from moving to an appropriate technology also act as catalysts for better access to talent and the relevant automations to enable the right future operating model. The movement to cloud is a core part of this technology enablement.
Cloud (i.e. edge, hybrid, public cloud) is a significant accelerator of data transformation as well as an essential enabler for disruptive business opportunities.
Our cloud services offer clients across industries built-in, seamlessly integrated platform services, such as centralized monitoring and logging functionalities, scheduling, and orchestration. Furthermore, compute and storage capacity can be easily tailored to specific industries and enterprises, thanks to a variety of offerings, from optimized compute power to storage nodes.
In most cases, a full move to cloud isn’t necessary to begin to capture its benefits. In fact, the target hosting option will typically be hybrid and offer advantages from both worlds: cloud provides organizations with the opportunity to explore compute needs as their use cases evolve. This flexibility from cloud service providers (CSPs) reduces up-front capital expenditures.
AInalytics delivers these cloud benefits