Enterprise organizations continue to face challenges when dealing with the effective management of information today. We reached a point where the exponential growth of data generated in the enterprise makes it extremely challenging for organizations to manage efficiently. Data management is a vast functional lifecycle domain that involves numerous characteristics beyond just protection, recovery, retention, and replication of data. With the current and impending data sovereignty and compliance regulations, additional data management characteristics such as analytics, governance, and compliance are of vital importance to enterprise businesses and organizations.
Data today is being classified to be equivalent to oil from currency and value perspective. For enterprise organizations to maximize the value of their data, they must manage the access to information efficiently and efficiently by never losing access and visibility to their data. Institutions must maintain access and visibility to all forms of relevant data for their business, whether it be for services rendered, regulatory compliance, business functionalities, new opportunities, trending, etc.
Satisfying these requirements is challenging from both a technology and operations perspectives. From a technology perspective, the limited capabilities and outdated architectures the majority of the available data management solutions are designed and built as specific point solutions that are unable to fulfill the requirements to manage data according to today’s demands adequately. As a result of these shortcomings, organizations are forced to introduce risky and inefficient solutions with complexed procedures into their infrastructures to manage their data.
From an operational perspective, the ongoing demands to reduce infrastructure cost, collapse management silos, and operational risks, etc., are contentious and at times contradictory when combined with technical requirements and capabilities in-demand by the business. To satisfy the business requirements for the management of information and have the opportunity to comply with the infrastructure cost reduction demands and still get the most value out of their data for business advantage, and compliance.
Identifying modern data management solutions that are capable of performing multiple data management functions that been designed and built with holistic data platform approach capable of spanning and scaling across different infrastructures is the way to comply with the majority of the business requirements and demands for the management of information. When looking at the value proposition, Cohesity offers from a modern data management platform perspective. With Cohesity, enterprise organizations can transform some of their multi-point data management solutions and converged them onto a data platform capable of collapsing multiple point solutions as well as data management silos well beyond data protection and recovery.
Take for instance the need to have visibility to comply with public and private compliance regulations. With Cohesity data platform analytics, organizations can gain visibility into any piece of data that is resident within any of the repositories supported by Cohesity cluster as part of their data lake constructs irrelevant to their retention purpose (archived, tired) and locations. For example, when compliance is an essential factor, there is typically a procedure that may require the movement or copying of data onto separate systems to analyze the data and gain visibility into pertinent information. That process, whatever it will take time, introduce cost, and risks by potentially leaving multiple copies of data and potentially leaving valuable business information exposed and possibly compromised.
What if enterprise organizations could gain secured access and visibility into their data and those capabilities are available on the same platform that is used to protect, recover, archive without potentially having to move data onto different systems for processing? With Cohesity, organizations have visibility into their on-premise and public clouds (AWS. Azure) data and have the ability to validate the contents of their data against regulatory compliance acts such as PCI-DSS (credit cards), HIPAA (patient information and retention), and more.
Think of the potential transformation, agility, cost reduction, operationally efficient, and risk-mitigating value Cohesity can offer to enterprise organizations as a modern data management solution.
Well imagine no more, take a look at the brief demonstration below of what its possible today.
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