The Future of Enterprise Data Management

Transcription

1 The Future of Enterprise Data Management April 18, 2017 Tony Navarro Sr. Director, AMS Technology Practices

2 The Digital Organization Transformation 45x 9x $2.4T Data flow increase since 2005 Data flow will increase in next 5 years Created GDP in 2014

3 Data is the most critical asset Customer Service Personally Identifiable Mobile Workforce Legal/Regulatory Electronic Supply Chains Big Data/ Analytics Digital Workflows IoT Data Always Available, Compliant, Relevant

4 But There Are Significant Challenges Today Poor Visibility Data is scattered, mostly unstructured, across heterogeneous systems No single source of truth to make informed decisions Exposed to Risk Low visibility into what is being stored or accessed by users, backed up, retained Business risk from non-compliance, unplanned downtime, service interruption $ Paying Too Much Storing everything, including old, redundant or irrelevant data Maintaining accumulated legacy infrastructure Not Agile Enough Not developing new applications quickly enough Limited by traditional IT processes

5 IT is Under Pressure from Multiple Directions Hybrid Clouds Need ability to reliably migrate/failover workloads seamlessly across Clouds as needed Big Data Need to provide visibility into large sets of unstructured data for business decision making, monetization Open Source Open Stack and Containers being adopted by developers, but need enterprise class -ilities IT Increased Regulation Need to know where your data is, and apply compliance policies consistently White Box Storage Need to reliably store, protect and provision enterprise data at scale on choice of hardware Always On Need to protect and preserve data at all times, ensure it is available & recoverable with no interruption to operations

6 Evolving IT Architecture Does Not Solve the Problem APPLICATION Pressures Always On Data Explosion Cloud Economics More Regulations Open Source DATABASE INFRASTRUCTURE STORAGE Challenges Nothing Goes Away Workload Proliferation Developer Demands Skillset Shortage DIY Integration Orchestration is a challenge in this environment

7 Today s Requirements for Enterprise Data Management Insight Protection Availability

8 The Veritas Data Management Portfolio Legal Disposition Unstructured Data Visibility Archiving & Retention Backup & Recovery Integrated PBBA Copy Data Access File Classification Data Distributed File System SDS for Unstructured Data Storage QoS for OpenStack Business Resiliency/ DR Software Defined Storage

9 Summary: Benefits of the Veritas Approach Business Agility and Competitive Advantage Quickly locate the 5% target rich information for faster, more informed decisions Enable greater collaboration and productivity across/between organizations Unprecedented Visibility and Control See the Where, Who and What of all your data, with ability control via policy in realtime More efficient feeds into Big Data/Analytics projects from overnight backups/discovery Minimized Exposure to Legal and Security Risks Resilience to security threats, rapid safe recovery, policy based access controls, compliance Archive safe information to minimize discovery risk $ $ Dramatically Lower Operational Costs Efficient storage management, retain useful data, delete dark data & redundant copies Lower IT TCO from platform approach vs managing multiple silos/point technologies

10 THE MISSION ENABLE ORGANIZATIONS TO HARNESS THE POWER OF THEIR INFORMATION