Dave Packer, VP Product and Alliance Marketing, Druva
Data&StorageAsean: Why is managing data through its life-cycle becoming so important?
Druva: Data management has become increasingly important as businesses face increased compliance mandates, data volume and flexibility challenges with various end points. It’s no longer about just storing data that you’re required to keep, as that often serves little utility to the business. Today, new cloud architectures are transforming stores of enterprise data into sources of greater business insight to help companies more nimbly address corporate compliance and litigation support needs.
Data&StorageAsean: Is the term data life-cycle management just a glorified name for archiving?
Druva: Data life-cycle management delivers more than the data archiving of the past. Today, advanced machine learning capabilities ensure organizations can leverage predictive analytics, early data assessment, forensics, and information lifecycle management capabilities to understand data risks before they impact your business
Data&StorageAsean: With cloud, mobility and data driven business, are the challenges of data life-cycle management becoming more complex?
Druva: Today’s technologies give enterprises new ways to leverage the data that hasn’t always been quite at-their-fingertips. Top on the list of enabling technologies is cloud computing, which provides anytime-anywhere data access and control at blistering speeds. With cloud computing, there is also a convergence of data across business silos, which provides new opportunities for exploration with the data we create and collect. While these are exciting changes, navigating them is difficult and complex. At every point in the data lifecycle there are opportunities for a business to look at data in different ways and for different reasons.
Data&StorageAsean: With the amount of data we now create how do businesses decide which data to manage?
Druva: Today’s companies generate huge amounts of data, and as a result enterprises are unnecessarily duplicating data across devices, resulting in heavy backups and an inefficient use of infrastructure resources. To overcome this overload of data, enterprises first need a smarter solution that dramatically reduces storage and bandwidth requirements for smaller, faster backups. Once that solution is up and running, businesses need to define the problem they’re trying to solve and decide if an inclusion (backing up files identified as business critical) or an exclusion (include everything by default and exclude the file types you don’t want) strategy around data management will best fit their needs.
Data&StorageAsean: Is there anything unique about your Data Life-cycle Management solutions?
Druva: Druva delivers the industry’s first data management-as-a-service solution that aggregates data from endpoints, servers and cloud applications, and leverages the public cloud to offer a single pane of glass to enable data protection, governance and intelligence—dramatically increasing the availability and visibility of business critical information, while reducing the risk, cost and complexity of managing and protecting it.
Druva’s award-winning solutions intelligently collect data, and unify backup, disaster recovery, archival and governance capabilities onto a single, optimized data set. As the industry’s fastest growing data protection provider, Druva is trusted by over 4,000 global organizations, and protects over 40 petabytes of data