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5 REASONS TO CLEAN UP THE DIGITAL LANDFILL Presentation to Boston ARMA September 12, 2011 Brent G. Stanley
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WHAT IS A DIGITAL LANDFILL? Repositories containing data which has unknown composition, usefulness, value, or risk Unstructured and semi-structured data Fileservers, email servers, content management environments (SharePoint), ECM environments (Documentum et al) Edge of network (laptop drives, desktop drives, remote office servers) Structured data (Oracle et al) Backup tapes Cloud storage, Managed Service Providers (MSP’s) Could represent a significant cost and liability risk to the enterprise Growing at exponential rates Average employee generates __GB/year of new data and average enterprise has __ years of legacy data comprising __ GB of data
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TYPICAL COMPOSITION OF A DIGITAL LANDFILL Trash 10-30% Records Duplicates 20-30% Convenience Information 10-30%
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5 REASONS TO CLEAN UP 1. Infrastructure Cost Containment 2. E-Discovery Cost and Risk Containment 3. Information Security Cost Containment 4. General Employee Content Search Efficiency 5. Business Intelligence
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1. INFRASTRUCTURE COST CONTAINMENT All-in cost for managing, securing and protecting data All copies (primary, secondary, tertiary, disaster recovery, continuity of business) Bricks and mortar People Software Hardware Bandwidth Cost range: $15-50 per GB per year (declining) Hard cost savings
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2. E-DISCOVERY COST AND RISK CONTAINMENT Average costs for suits Small $____; Medium $____; Large $____ Aggregate as a percent of annual sales for highly litigated verticals: 0.1 – 0.4% Hard cost savings Identification ProcessingPreservation Presentation Production Collection Review Analysis
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3. INFORMATION SECURITY COST CONTAINMENT Content containing sensitive or restricted information which should be more tightly managed PII, company financials, audit data, compliance data, strategic planning data, contracts Event Types PII theft or inadvertent release - $170 per record Sensitive and restricted information release – compromised trade secrets and brand risk Quantification 3-year rolling average cost Peer average %of sales: 0.1-0.3% Hard cost savings
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4. GENERAL EMPLOYEE CONTENT SEARCH EFFICIENCY Time spent by average employee hunting for content: 24% (IDC) If content is cleaner and better identified, this can be conservatively reduced by 3-5% Can be considered soft or hard cost savings Soft savings if employee time is ‘sunk cost’ Hard or partial hard savings if opportunity cost is considered
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5. BUSINESS INTELLIGENCE Decision making Ability to make best decision is to know how they were made in the past Data quality Data that is not clean or incomplete compromises the ability to control cost and risk and optimize organizational value Example: Insurance Claims Legacy claims documents are sitting as TIFF or PDF images across the digital landfill Claims contain data that is hidden and obscure to the rest of the organization and constitutes opportunity (raising premiums) as well as risk (over-paying a claim, insuring those who should not be insured, failure to comply with regulatory obligations). Critical to running a thriving business
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INPUTS FOR THE BUSINESS CASE CategoryMetricValueNotes Infrastructure Cost$/GB/Year$25.00Provided by Client Legacy Data: File Stores, Email, Edge-of-NetworkTB250Provided by Client Go Forward Data: File Stores, Email, Edge-of-NetworkTB/Year25Provided by Client Average Employee Labor Cost$/Year$75,273Provided by Client Knowledge Collection (Claims Mgmt.)/Search, Business as Usual % Time/Year/Employee4.00%Agreed Default Knowledge Collection (Claims Mgmt.)/Search, Post- Processing% Time/Year/Employee1.00%Agreed Default Classification CategoriesNumber20Agreed Default Number of EmployeesNumber3500Provided by Client Initial Disposition, Legacy DataPercentage30%Agreed Default Year 2-3 Disposition, Legacy DataPercentage10%Agreed Default Litigation, Investigation and Audit% of Annual Revenue0.20%Agreed Default Security Risk Cost% of Annual Revenue0.10%Agreed Default Annual Revenue$6,400,000,0002010 Financials
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ROI CALCULATIONS
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SUMMARY Leaving the digital fill alone and allowing it to grow unabated creates a toxic mess that must eventually be dealt with World-class organizations will figure out how to extract business value and improve competitive positioning Quantification of the 5 reasons is possible and can create an attractive ROI Technology and services are available to accomplish this objective
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REFERENCE INFORMATION Cost-Effective Big Data Retention Enables Better Analytics http://www.dbta.com/Articles/Editorial/Trends-and-Applications/Cost-Effective-Big-Data- Retention-Enables-Better-Analytics-75457.aspx http://www.dbta.com/Articles/Editorial/Trends-and-Applications/Cost-Effective-Big-Data- Retention-Enables-Better-Analytics-75457.aspx How much would it cost to store 4TB of data using Amazon's S3 service? 4TB would cost about $340/month. 4TB = 4,000 GB. At that service level (99.99%durability and more than 1TB but less than 49TB), the price is $.083/GB. $.083 times 4,000 is $332. It would also cost you $400 to upload the data in the first place. http://www.emc.com/collateral/analyst-reports/idc-extracting-value- from-chaos-ar.pdf http://www.emc.com/collateral/analyst-reports/idc-extracting-value- from-chaos-ar.pdf
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