Hi, you know Data is the engine of Digital Transformation. It is the lifeblood of applications, the currency of business, the beating heart of digital life. Data is the driver of new technologies, solutions, and businesses. The source of important and actionable business insights. The ability to find new markets, discover opportunities for improvement, and make good business decisions. Data about who, when, how, where, and why products are used gives product engineers, designers, and manufacturers insights on how to improve and innovate. Data is key to understanding customers and their preferences and optimizing sales channel strategies to fit their needs at the moment. Data enables organizations to streamline their operations and improve their efficiency. And data equips decision makers with the ability to predict trends to put the business in the best position to capitalize…
The sheer amount of data and its rapid growth is a massive challenge. The size of the digital universe is at least doubling every two years. That means more than a 50-fold growth of data in a little over a decade. Human- and machine-generated data together are growing 10x faster than traditional business data, and machine data alone is growing at 50x the rate of traditional business data. Not only is there much more data, it’s also changing at more rapid and unpredictable rates. Moreover, to compound the complexity, data generated at each source has its own unique change rate. Traditional servers, mobile devices, and telemetry-generating devices like automobiles all produce data that changes at varying rates.
As data grows and changes, so do the costs of managing isn’t just storing, securing, and moving it from place to place but also the lost opportunity costs of not having data where and when you need it, of missed insights, of flawed analysis. And, there’s also the rising costs of data misuse, loss, and theft, resulting in lost business, shaming headlines, brand damage. Moving data to the Cloud does not absolve your business of responsibility for it. Interestingly and wrongly, 69% of organizations believe that Data Protection, data privacy, and compliance are the responsibility of the Cloud Service Provider. But, in fact, most Cloud provider contracts say otherwise. The enterprise is responsible for its own data.
Data is everywhere:
There is not only much more data, there’s much more data everywhere. Today, apps and data may be located anywhere in the world in private Clouds, public Clouds, managed Clouds, SaaS Clouds, locked in legacy apps and disparate databases with fragmentary ownership, trapped in data silos, lost amongst a myriad of often incompatible devices, systems, and processes. In addition, more and more data is being generated from emerging sources like edge computing and the Internet of Things (IoT). We are entering an age where data is produced by nearly everything cars, thermostats, and household appliances as well as servers, workstations, and mobile devices.
The new expectation for data in today’s enterprise:
As the importance of data has grown to drive every aspect of our digital lives, so has the need for solutions that can do far more than ensure its availability. In this new reality where enterprise data is scattered across many different Clouds and systems, ensuring availability across the entire enterprise becomes both much more critical and much more challenging. So does getting visibility into all this data across all the nodes where it resides and the networks across which it moves… Organizations are struggling just to know where all their data is. It’s even more challenging to be certain that it’s recoverable in the event of an outage, attack, loss, or theft. That it’s available for the predictive analytics that helps them gain a competitive advantage and improve business performance. That it’s in compliance as new regulations like GDPR go into effect anywhere across the globe. And that it’s always available for services and users. Availability is ultimately important for every enterprise.
Today, availability is based on policy-based mechanisms where data is often manually relocated to optimize cost and performance or to recover from a security intrusion. Tomorrow’s availability must evolve to a more autonomous model where the system reacts and adjusts automatically to any significant changes in the behavior of data, apps, or users anywhere across the enterprise. This level of automation is a big leap from where we are today. How can we bridge that gap from where we are to where we need to go? Keep in mind that Data Protection is crucial for ensuring the security of YOUR data… My opinion is based on this Life Cycle: Data Protection = Cybersecurity approach + Data Governance + Modern Backup & Disaster Recovery.
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