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Business Impact of Bad Data
 

Business Impact of Bad Data

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The connected world is piping in data from all over, leading to a surge in data volumes. Its good to accumulate a lot of data but its futile to just do that. What is more critical is to understand ...

The connected world is piping in data from all over, leading to a surge in data volumes. Its good to accumulate a lot of data but its futile to just do that. What is more critical is to understand what that data is trying to tell you. Whether one is able to depict trends & patterns from the information surrounding them. Question is - Can you trust your data to take those fact-based strategic decisions? Can your data help you steer your organizations forward?

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    Business Impact of Bad Data Business Impact of Bad Data Presentation Transcript

    • Business Impact of Bad DataJaydeep DeshpandeMarketing ManagerSAS Institute (India) Pvt. Ltd. Copyright © 2010 SAS Institute Inc. All rights reserved.
    • Jaydeep Jaydeep Deshpande Girish Deshpande Jaideep Jagdeep JaydeepDeshpande Deshpande Despande Jaydeep JG Deshpandey Deshpande • Is this the same person? • Are these different people? • How sure are you? 2 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • Global Challenge “Strategies of yesterday may no longer work today.” 3 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • Information Explosion 4 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • Information RevolutionDigital Information Doubling Rate 2005 1100 days 5 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • Information RevolutionDigital Information Doubling Rate 2005 1100 days 2007 11 months 6 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • Information RevolutionDigital Information Doubling Rate 2005 1100 days 2007 11 months 2011 11 hours 7 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • Information Revolution “The data deluge is such that human beings can no longer be expected to spot patterns in the data.” “Nor can they grasp the size and complexity of one database and see how it relates to another.” 8 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • Trend: Information OverloadStudy: 1009 Managers (US & UK $500M+) 42% “Too much information” 44% “Other departments not forthcoming with data” 39% “Can’t figure out which information is current” 38% “Need to weed out duplicate information” 21% “Don’t understand the value of the information” ` 9 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • Data That is Most SuspectWhat types of data are most susceptible to quality problems in your organization ? 10 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • Questioning the Data “What happened?” “Where exactly is the problem?” “What if these trends continue?”“How many, how often, where?” “What’s the best that can happen?” “What will happen next?” “What actions are needed?” “Why is this happening?” 11 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • Business Impacts of Poor Data Quality• Reduced customer satisfaction• Inaccurate or non-existent reporting (sales, profitability, inventory)• Reduced productivity• Excess inventory or stock outs• Inaccurate billing and invoicing• Inaccurate margins on products• Incorrect commission payments• Delays in product launch (inability to ship or sell at launch)• Lost sales (inability to ship or sell) 12 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • What is Poor Data Costing MyBusiness? Which data integrity issues are the highest impact from a business perspective (Revenue, costs, risk?)– Revenue: • What is the loss from failed business transactions due data issues? • How quickly can we respond to business opportunities?– Costs: • How has throughput suffered due to errors? • What percentage of time has been lost in scrap and re-work?– Risk: • How is poor data increasing risk? (Compliance, project failure, etc.) • Can your organization effectively perform mergers and acquisitions (M&A)? 13 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • What Makes Data Credible? Accuracy • Is it realistic or believable? Integrity • Is it structured and managed? • Is it consistently defined andConsistency maintained? • Is the data valid based on business Validity or industry rules and standards? • Is it from known sources and in the Reliability form that the users understand? 14 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • Data is the strongest competitive weapon inthe hands of the organization, provided it isunderstood correctly & used appropriately 15 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • Is data quality impacting your businessperformance? Jaydeep Deshpande Jaydeep Girish Deshpande Jagdeep Imagine the amount, organizations Jaideep Deshpande Deshpande may spend if they reach out to the same person, due to poor data quality! Jaydeep Deshpandey Jaydeep Despande J G Deshpande Lets untangle… 16 Copyright © 2010, SAS Institute Inc. All rights reserved.
    • Copyright © 2010 SAS Institute Inc. All rights reserved.