Data Dynamics - IT Press Tour #46 Oct. 2022

Transcript

1. Unified Unstructured Data Management Platform
2. © 2022 Data Dynamics, Inc. Restricted and Confidential Confidentiality Statement 2 The contents and information contained herein are privileged and confidential proprietary information of Data Dynamics Inc. No dissemination, copying or use of the contents should take place without the prior written consent of Data Dynamics Inc.
3. © 2022 Data Dynamics, Inc. Restricted and Confidential Data Dynamics, Inc. (DD) 3 Business Overview Est 2012, HQ: Upper Saddle River, NJ Unstructured Data Management Software Platform MOBILITY • Migration • Data Pipeline • Copy and Archive ANALYTICS • Data Discovery • Classification • Index and Search SECURE • Data Sharing • Risk Discovery • Risk Management COMPLIANCE • Privacy • Governance • Audit Log Revenue Breakdown: Software: 92% Maintenance & Support: 7% Consulting Services: 1% Differentiated Value Add  Software platform vs point solutions  Support multiple use cases across organizations  Enterprise scale w/ hybrid deployment model  Less than 1 year ROI on software investment  Industry leading training & support Notes: 1) Represents average net dollar retention annually from 2018 to 2021 for same customers buying in both years 2) Average contract value of recurring bookings with clients over the past 5 years. GTM Partnerships Key Highlights Trusted & Proven  28 of Fortune 100 use DD Platform  Over 468PB of data analyzed & migrated  Net customer retention rate of 160%1  Average contract value of $178K1  Recent Awards: • Stevie 2022 – Migration, Big Data Solution, Technology Innovation • Globee 2022 – Customer Growth & Success, Tech Innovation, Cloud Security Innovation • Data4Good – EDM, and CDMC - Affordable and Clean Energy • DCS Cloud Project & Storage Innovation of the Year Sales Success & Vertical Segmentation Vertical Geography 145 Total Family Members Management: 6 R&D: 93 Sales & Marketing: 22 Training & Support: 10 Customer Success & Consulting Services: 4 G&A: 10 Data Dynamics Family 23 119 3 Cloud Systems Integrators Storage Bookings 2017 to 2021
4. © 2022 Data Dynamics, Inc. Restricted and Confidential By 2025, 85% of the worlds’ Data will be Unstructured 4 Total Cost of Ownership Rising Lack of Visibility Remote Office File Data Storage Proliferation & Full Data Centers Data Sprawl (TBs > PBs) Data Sovereignty & Privacy Data Security Enterprises lack visibility into their data landscape, often migrating data to a public cloud without understanding the value of the data moved. Managing unstructured data at remote offices brings its own issues as technology often lags behind the data center resulting in a sprawl of different technologies throughout the business. As a company grows and data centers fill up, storage infrastructure expands to manage data growth. IT adds to existing systems, so one system grows to two systems; two systems become three, four, five and ten. Legacy storage systems were designed when 100TB was a lot of data. At PB scale, storing, protecting, backing up and especially recovering all this data is problematic using legacy solutions. Data sovereignty restrictions block enterprise migration to the cloud due to PII and governance requirements. Data privacy is a major challenge for customers given lack of visibility. Risk of ransomware continues to increase as more and more copies of data exist without knowledge of them. Source: IDC.
5. © 2022 Data Dynamics, Inc. Restricted and Confidential Data bottlenecks create business bottlenecks 5 CDO Ensure proper data governance Know where data is located Extract Value from Data CISO Identify & protect sensitive data Ensure Compliance & Mitigate Data Risk Policy based Data Protection IT Manage SLAs Understand storage infrastructure Hybrid Cloud File Management Current model is siloed… lack of comprehensive solution Business Strategist Align Data with Business Objectives Leverage Data as an Asset Generate competitive advantage Data Driven Enterprise Storage Optimization Risk Mitigation Data Governance Business Value
6. © 2022 Data Dynamics, Inc. Restricted and Confidential 6 Customers can eliminate Silos with our… Unified Unstructured Data Management Platform
7. © 2022 Data Dynamics, Inc. Restricted and Confidential Our Platform touches all 14 aspects of Cloud Data Mgmt. 7 The Data Sovereignty and Cross-Border Movement of sensitive data must be recorded, auditable and controlled according to defined policy A register of Authoritative Data Sources and Provisioning Points must be populated for all data assets containing sensitive data The Ownership field in a data catalog must be populated for all sensitive data or otherwise reported to a defined workflow Data Control Compliance must be monitored for all data assets containing sensitive data via metrics and automated notifications Data Lineage information must be available for all sensitive data Cost Metrics directly associated with data use, storage and movement must be available in the catalog Data Quality Measurement must be enabled for sensitive data with metrics distributed when available Data Retention, Archiving and Purging must be managed according to a defined retention schedule Data Protection Impact assessments must be automatically triggered for all personal data according to its jurisdiction Appropriate Security Controls must be enabled for sensitive data and evidence must be recorded Data Consumption Purpose must be provided for all Data Sharing Agreements involving sensitive data Entitlements and Access for Sensitive Data must default to creator and owner and access must be tracked for ala sensitive data Classification must be automated for all data at the point of creation or ingestion and must be always on Cataloguing must be automated for all data at the point of creation or ingestion, with consistency across all environments 5 6 7 8 9 10 11 12 13 14 1 2 3 4 Source: EDM Council's whitepaper on Cloud Data Management Capabilities Framework.
8. © 2022 Data Dynamics, Inc. Restricted and Confidential How we do what we do - architecture On Premise Azure, AWS and GCP Example illustrated below: Microsoft Azure Azure Analytics Azure Functions Azure Compute Azure Solutions DFS Namespace Management Azure Blob Azure Files SMB/NFS ANF Azure Storage Services Intelligent Data Management on Hybrid Cloud File Shares & NFS Exports File Servers (SMB & NFS) NAS On Premise Storage Scalable Native Integration Applications Clients/Users File Discovery & File Content and Context Analysis Advanced Custom Tagging Intelligent Data Management Identify Data Sets Blockchain- based file audit trails Your Apps Quarantine at-risk datasets File re- permission and access control Intelligent data Placement Automated policy-based migrations
9. © 2022 Data Dynamics, Inc. Restricted and Confidential Platform roadmap 9 07 06 05 04 03 02 01 08 09 10 11 12 Migration, Replication, Storage Tiering, & DR Metadata Analytics within the Container Data Classification with Custom Tagging Content Classification Template Content Analytics Policy Automation & Orchestration Integration Privacy Risk Assessment Privacy Risk Remediation Cloud Data Management. ML for data classification Data Ops Data Democracy ASP Time Enterprise Data Management Value The Future Power of Data Dynamics!
10. © 2022 Data Dynamics, Inc. Restricted and Confidential Business value delivered 10 Finance Policy driven intelligent data mobility to support consolidation and divestures Oil & Gas Place data as required across regional sites, mega data centers and cloud providers Healthcare Secure and efficient exchange of clinical and insurance data between practitioners, patients and healthcare centers. High Tech Effective data life-cycle management across teams to optimize infrastructure use. Life Sciences Data sharing within and across research teams in a secure manner. Identify personal and business sensitive data to derive more value for the financial customer. Identify IOT devices with IP addresses in files for upstream business Classification of patient data for retention, deletion, and future queries Extract business data to accelerate time to market and gain a competitive edge. Captures information to keep a track on the performance of drugs or clinical trial phases Ensuring customer info in banking documents have appropriate access permissions Quarantine upstream or downstream data from risk of ransomware Safeguarding confidential patient data and ensuring chain of custody Isolates data to prevent rogue usage of personal or business sensitive information Policy driven or user led re-permissions ensures proper data management Immutable audit reporting for SEC, EBA, and other regulatory financial authorities Records for safety and OSHA reporting in a secure and immutable manner Establishes a method for demonstrating that patient data meets HIPAA requirements Assures state-wide data privacy laws are met and satisfies CCPA regulations Chartering data democratization and GDPR governance Mobility Analytics Security Compliance
11. © 2022 Data Dynamics, Inc. Restricted and Confidential Competitive Dynamics Unified Unstructured Data Management Software Platform Storage ILM Governance Cloud/Digital Acceleration Compliance
12. Use Cases
13. © 2022 Data Dynamics, Inc. Restricted and Confidential 78.7% lower TCO with smart data storage lifecycle management A Fortune 200 bank had three existing file storage applications and two object storage applications. They were suffering from high storage costs because they were underutilizing object storage and piling more data on file storage. Data Dynamics enabled them to optimize their total cost of ownership by intelligently moving data from file to object storage. Here’s how. 13 The bank had a total cost of ownership of 80.72M for 57.67 PB of data on file storage and 13.46M for 26.39 PB of data on object storage. They used only 53% of their total usable file storage and paid a surplus of $26.38M yearly for unused storage capacity. The average cost of file storage per TB was $1,333, whereas it was $475 for object storage, i.e., 64% lower than file storage 53% Capacity Utilization Total Capacity Used Capacity $80,722,200 $13,458,950 57.68 26.39 File Storage Object Storage File Storage Vs Object Storage Total Cost of Ownership Total Raw Capacity in PB $1,333.00 $475.00 File Storage Object Storage Cost Optimization
14. © 2022 Data Dynamics, Inc. Restricted and Confidential Business outcome The objective was to move data from file storage to object storage to reduce costs, enable higher capacities of usable data, and ensure pay-as-you-go pricing  Data Dynamics helped the organization realize a cost saving of 79.2% in one year with intelligent data management.  For every TB moved to object storage, the bank could save $858 and increase total usable data capacity by 29%.  Proactive analysis of data on an ongoing basis  Policy-based ‘Intelligent’ tiering (local and cloud)  Full transparency on the physical and logical location of data  Avoid new hardware purchases  Massive carbon reduction impact (ESG value addition)  Large reduction in data center footprint 14 $46,822,320.00 $9,989,815.20 Cost Comparison Current New TCO Calculation
15. 3 million files scanned for PII identification with a unified unstructured data management platform for a Fortune 50 Financial Institution Data Dynamics’ unstructured data management platform: • Single installation of platform for data consolidation and multiple regions. • Content Analytics backed by Data Science Engine for a Single Pane view of Personal Identifiable Information (PII) data • Risk Classification using industry- standard compliance and governance templates (system & custom) • Empower user to perform a free text search for a processed analysis set • Remediation for the identified sensitive data - Quarantine, Secure, and Audit Trail backed by Blockchain • Centralizing the management of the sensitive data for key geographies • 21K files with PII/sensitive data detected from 3MN files scanned for better risk management and remediation • Audit Trail: Immutable audit log for better security • Massive unstructured data spread across multiple geographical regions and needed data consolidation across the US, UK, Europe & Asia Pacific • Increasing storage costs because of the widespread global data estate • Complexities in unstructured data management • Concerns related to the risk of moving data to a new S3 platform • Data consolidation across multiple locations globally • Identification of sensitive information from the millions of files spread across the globe • Ensure data protection for sensitive data identified and plan remediation for enhanced data compliance and governance Solution Offered Business Impact Challenges Faced Business Need
16. 80B files of data sprawl optimized with intelligent data management to protect customer privacy and reduce the risk of data exposure for a Fortune 50 U.S. Bank Identification • A preliminary assessment of data sets • Identifying deep insight within data • Classification of data location, format, extension, type of data, and more Analysis • Removing duplicates and optimization of search by adding data tags • Data analytics for higher governance and risk mitigation • Identify files with privacy information Action • Applying intelligence to the high-risk data for compliant and secure data management • Creating an immutable audit log backed by blockchain technology to track the data access activities • Data consolidation to drive compliance, analytics, and security, and giving role- based access • 80 billion files of data sprawl optimized to reduce the risk of data exposure • In an era where the average cost of a data breach in the USA is $7.91 million, we helped the bank mitigate potential penalties with a fortified compliance & security ecosystem by: • Consolidating the data governance across data silos and role-based access • Data intelligence to optimize data sprawl and technology- driven privacy controls • Realized an ability to report to regulators efficiently • Strengthening customer trust • Eliminated reputational risk • Unstructured, unsecured, duplicate, and ungoverned data sprawl of customer PII leading to potential data exposure, cyberthreat, and non-compliance • Lack of customer data intelligence leading to multiple rounds of customer follow-ups and poor CRM • Inability to leverage the data due to the lack of centralized data management, interoperability, and efficient data sharing & access • Data sharing for internal constituents while protecting customer privacy. • Integrating organizational data silos with data governance to enhance security, compliance and privacy controls. Solution Offered Business Impact Challenges Faced Business Need
17. © 2021 Data Dynamics, Inc. Restricted and Confidential 96% reduction in customer outage time and 100% ROI in data center & storage migration for one of the world’s largest Fortune 500 Healthcare Data Science Technology Companies • Use of automated, policy-based file data migration to ensure the right data was moved to the cloud • Automation and standardization, using a unified platform – from 12 to 24-hour outrage during data transfer to one minute. • Accelerated data integration and migration of acquired companies to the master data center by reducing the complexity of unstructured data from arrays, separate ACLs, and different domains • Intelligent data analysis to gain visibility and knowledge of the data, for data compliance, improved productivity, and 100% reduction in potential penalties Data Dynamics’ unified data management platform helped the customer achieve: • 96% reduction in customer outage and 100% ROI during data transfer • 24-hour outage reduced to sub-hour • 97% improvement in data integration of acquired companies to the master data center • From 30 days to one day • Zero penalties related to invalidation of data • Reduced cost of data migration • Mixed distinct data ownership on the same volume • 24-hour outage windows for data migrations • Complex data integration of acquired companies • Security and access complexity creating data loss • Massive penalties for invalidated clinical trial data – paid $0.5M+ in fines per occurrence • Merger & Acquisition • Tech Refresh • Incompatible versions • Heterogeneous Vendor Storage • Data Migration and consolidation Solution Offered Business Impact Challenges Faced Business Need
18. © 2021 Data Dynamics, Inc. Restricted and Confidential $7.5 MN annual TCO saved by implementing intelligent data lifecycle management for dark data for a Fortune 50 integrated healthcare services companies Implemented Data Dynamics StorageX capabilities. • Analytics – Metadata scan and file level tagging • Archive – File to Cloud Object • Replication – File to File Sync • Migration – File to File Move/Transform/Security • APIs for Business Process Integration • Enhance data understanding • Enabled File metadata discovery and classification (tagging) • Identified Dark Data and potential risk exposures • Enrich metadata for AI, ML • Annual savings of $2 MM / PB • TCO savings of $7,500,000 annually • DC Consolidation Acceleration ∙ Unstructured Data Growth and Sprawl • Created Business Risk (Legal and Compliance) • Created IT Risk (Stressed Production, Backup, and HA Systems) • Non-Critical Data managed as Critical Data ∙ Lack of data understanding and lifecycle management ∙ Dark Data (Older than five years, not used) • ⅓ of Storage was for files untouched for 5 Years • ⅘ of files were orphaned • To implement Data Lifecycle Management • Mitigate risk resulting from Data Sprawl • Understanding the data for better accessibility, security, and management • Manage Dark data for cost optimization • Optimizing File Data storage Solution Offered Business Impact Challenges Faced Business Need
19. Top 5 medical device manufacturing company analyzes and modernizes 2 PB of data For one of the top 5 medical device manufacturing companies in the world Unified data management platform by Data Dynamics was implemented for: Data Analysis: • Removed duplicates and optimized search by adding data tags to identify the owner of the file (based on verticals) • Re-permissioning of the files based on ownership • Data analytics for higher governance and risk mitigation by identifying files with PII • Enabled secure data sharing by supporting data obfuscation • Mobility: • Metadata Scanned 10s of 100s of files and performed metadata analysis to discovers and tag healthcare data set • Use of automated policy-driven capabilities to migrate data across healthcare vertical • 2 PBs of healthcare data across 6 geographical location was identified and moved to the healthcare vertical for simplified and secured data access and sharing • Enhance data understanding: Data enrichment through file metadata discovery, classification and tagging • Gained visibility: Reduction of data storage waste by removal of duplicate files • Actionable intelligence for 110M data files • Secured access to patient diagnostics with automatic access control, policy- driven file re-permissioning, and file security management Multinational conglomerate with a global file estate comprising data from three distinct subsidiaries resulted in: ∙ Data silos that restricted efficient data sharing and accessibility ∙ Lack of ownership of data ∙ Lack of data knowledge ∙ Lack of data visibility ∙ Data Sprawl and risk associated with private data • Identify the ownership of data based on users across three company subsidiaries - energy, healthcare, and airline • Segregate healthcare data from the parent organization’s global file estate and move it to the healthcare vertical • Re-permission files based on the vertical and users • Conduct a privacy assessment for healthcare data Solution Offered Business Impact Challenges Faced Business Need
20. 250 terabytes of data moved to Azure File Share in 16 days for FREE For a Fortune 500 multinational mining company Utilized Microsoft’s sponsored Data Dynamics' StorageX for free data migration through the Azure File Migration Program. – - Mobility • Large amounts of unstructured data from on-premise datacenters were migrated for free into Azure. • Identified a set of matching shares/exports to be moved • Provided automated and policy-based migration • Data from two data centers was consolidated by moving it to Azure File Share. • Scan 10s of billions of files • Minimal disruption to business for cutover. • Consolidated on-premise data centers into Azure File Share resulted in enhanced data management, cost savings, improved efficiency, and next-level risk management. • FREE migration of data into Azure through Microsoft sponsored Data Dynamics’ StorageX helped the company to save huge amount of migration cost • Migrated millions of files in just 16 days in a fast, secured and efficient manner • 3X faster migration, 10x more productivity through automated and policy-based migration • High cost associated with Data center management: • Increasing CapEX – Increase in on-prem data center cost related to server hardware, server software licensing, network infrastructure, storage and backup infrastructure. • Increasing OpEX -Increase in on-prem data center cost related to server hardware support, software support, network infrastructure support, storage warranty, data center power and facilities, current system admin labor, IT training and IT staff turnover. • Had trouble archiving data and optimizing storage because 250 TBs of data contained 84% cold data. • Consolidate two data centers from data lakes on Azure cloud environment for better data management • To close the data centers to save cost associated with it • The company’s vision is to move all its legacy infrastructure to Azure phase-by-phase Solution Offered Business Impact Challenges Faced Business Need
21. Reduced enterprise carbon emissions with intelligent cloud adoption For Fortune 20 Energy Company ∙ Data Dynamics combined the CDMC™ Cloud Data Management Capabilities Framework and four proprietary practices to ensure effective cloud adoption: • Structured the unstructured data with a unified approach – Unlock data-driven insights, secure data, ensure compliance and governance & drive hybrid cloud data management • Reimagining cloud migration - Transition from traditional Lift and shift to intelligent data-driven migrations • Assured in-year ROI on software investment - Storage optimization and risk mitigation creates sub-12- month ROI • Enabled unparalleled scale and compute power - Build compatibility with scalable cloud applications and APIs ensuring flexibility, zero-latency & downtime, and cost savings • 600 TBs of data migrated in 20 days • 35% reduction in operational emissions • Low carbon energy projects grew by 400% • 60% savings through improved TCO • 3X faster migrations and 10X increase in productivity • Recognized data center closure savings of $10s of millions of dollars ∙ Azure data migration delays causing an expenditure of $10s of millions of dollars ∙ 600 TB Data Center Closure ∙ Migrate data to ANF ∙ Maintain proper ownership and access ∙ 250+ volumes ∙ 45 days to move ∙ Additional challenges include manpower & migration expertise, performance lags, lack of scalability, loss of metadata/security, and complexity ∙ To rapidly reduce carbon footprints ∙ Drive cost improvements ∙ Consolidate data centers to the cloud to reduce carbon footprints. ∙ Reduce oil and gas production and lower emissions while keeping up cash flow by growing bioenergy. ∙ Accelerating net-zero ambition – aiming to be net-zero by 2050 or sooner across operations, production and sales. Solution Offered Business Impact Challenges Faced Business Need
22. 59% in run rate reduction & 10X increase in productivity by implementing intelligent data lifecycle management For one of the largest Fortune 50 energy companies • Leverage Data Dynamics’ Intelligent Data Management platform for: • Mobility – ⮚ Use of automated policy- driven capabilities of StorageX to migrate data across different storage vendors and tiers ⮚ Scan 10s of billions of files • Analysis – ⮚ Use AI/ML to classify data ⮚ Intelligent identification of sensitive data ⮚ Metadata analysis for storage optimization • APIs for Business Process Integration • Enhance data understanding • Data enrichment through file metadata discovery and classification (tagging) • Remediation of dark and sensitive data • Cost saving through data classification and storage optimization • Every 1% of data archival from file to S3 resulted in a reduced cost of $3 million / year • Data rationalization - optimizing infrastructure use to reduce cost • 59% cost savings through improved TCO/efficiency for high-risk file storage environments • 10X increase in productivity • Eliminate Risk from end of life / out of support environment • Unstructured Data Growth and Sprawl • Created Business Risk (Legal and Compliance) • Created IT Risk (Stressed Production, Backup and HA Systems) • Non-Critical Data managed as Critical Data • Lack of data understanding and lifecycle management • Risk associated with obsolete technology • Decreased productivity,, increased support cost, parts availability • Implementing Storage Lifecycle Management • Mitigating risk resulting from Data Sprawl & obsolete technology • Streamline data management and operations for cost optimization • Classification of data for identification of critical and dark data Solution Offered Business Impact Challenges Faced Business Need
23. 37.5 million directories migrated with the last sync in 48 hours For a Fortune 10 US-based Technology Company StorageX was selected to perform the migration of the process: • Single pane view across migration process • The policy-based approach maximized the data access, minimized cutover windows, user downtime, and other disruptions related to file storage rebalancing, migrations, and tech refreshes • Minimal disruption to business for cutover meeting the estimated target of 48 hours • Sync up of incremental copies of the baseline copies • Ability to set QoS during replication to minimize client impact 37.5 million directories with 977 million files migrated with the last sync in 48 Hours. • Greater efficiency with incremental migration - Enabled automated data replication policies facilitating the replication of source files to destination location. The policy ran while migrating the baseline and incremental copies. • Reduced Outage - Accelerated the migration process within the cluster with minimal disruption • During the file movement process, the file system was constantly being updated causing additional efforts in comparison and update. • Allotted cutover window of 48 hours only • The previous tool was unable to sync the incremental copies of the baseline copies delaying the process and adding glitches • Achieving optimal throughput while migrating the files with accuracy • Move billions of files from NetApp’s Infinite Volume to a Flex Group on the same cluster • Moving millions of directories with millions of files within an allotted time. • Sync incremental updates in the files • Achieving optimal throughput while migrating files Solution Offered Business Impact Challenges Faced Business Need
24. © 2022 Data Dynamics, Inc. Restricted and Confidential Why Data Dynamics 24 • PROVEN! • Delivered at enterprise scale (28 of the Fortune 100) • Strong ecosystem of partners who can execute on the Platform • Vertical agnostic yet domain centric knowledge across regulated industries • Platform approach to data management vs competitors with ‘single value’ tools • Capital efficient and strong profit margins, important in challenging macro environments • Experienced team with proven execution abilities • Vision of DATA DEMOCRATIZATION is transformative and imperative to address data privacy challenges
25. Confidentiality Statement The contents and information contained herein are privileged and confidential proprietary information of Data Dynamics Inc. No dissemination, copying or use of the contents should take place without the prior written consent of Data Dynamics Inc. Thank You! Visit www.datadynamicsinc.com Piyush Mehta Ph. 201-218-2785 Piyush.mehta@datdyn.com