Data Lifecycle Management To Enhance Flow And Quality Of Organizational Information Complete Deck

Slide 1: This slide showcase title Data Lifecycle Management to Enhance Flow and Quality of Organizational Information. State Your Company Name.
Slide 2: This slide showcase Agenda for data lifecycle management to enhance flow and quality of organizational information.
Slide 3: This slide exhibit Table of content.
Slide 4: This slide highlights the Title for the Topics to be covered further.
Slide 5: This slide analyses the performance of KPIs to measure the effectiveness and efficiency of data operations within an organization.
Slide 6: This slide presents the current loss incurred by the company due to ineffective management of organizational data.
Slide 7: This slide highlights the Title for the Topics to be covered further.
Slide 8: This slide analyses the current data lifecycle management process and identifies challenges and issues faced by the organization.
Slide 9: This slide presents a gap analysis while analysing the challenges faced by organization in data management.
Slide 10: This slide highlights the Title for the Topics to be covered further.
Slide 11: This slide presents an overview of the data lifecycle management process.
Slide 12: This slide presents the three main goals of data lifecycle management to ensure a seamless flow of information throughout its lifecycle.
Slide 13: This slide introduces a new and optimized data lifecycle management process to ensure an unhindered and streamlined flow of information within organization.
Slide 14: This slide showcases the importance of data life cycle management. s
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Slide 16: This slide presents an overview of data lifecycle management strategy.
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Slide 18: This slide presents an overview of the data creation and collection stage.
Slide 19: This slide presents an overview of data acquisition.
Slide 20: This slide presents the methods for data collection and defines when to use and how to collect them depending on business needs.
Slide 21: This slide presents data collection responsibilities across the organization.
Slide 22: This slide help organization establish a data collection protocol to ensure data accuracy and consistency.
Slide 23: This slide presents a schedule for data collection training for employees.
Slide 24: This slide highlights the Title for the Topics to be covered further.
Slide 25: This slide presents streamline data entering processes for your business.
Slide 26: This slide compares data entry automation software to reduce manual entry errors.
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Slide 28: This slide presents an overview of data-capturing stage.
Slide 29: This slide presents the several methods of digital data capture that are available to meet the needs of enterprises.
Slide 30: This slide presents an overview of data capture forms.
Slide 31: This slide presents strategies for creating a great data capture form to collect relevant and accurate information.
Slide 32: This slide highlights the Title for the Topics to be covered further.
Slide 33: This slide presents an overview and establishes metrics to measure data quality performance in the organization.
Slide 34: This slide presents strategies to ensure and sustain data quality.
Slide 35: This slide presents multiple levels of data quality testing to ensure information quality management.
Slide 36: This slide presents tools to automate the data quality check process.
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Slide 38: This slide presents an overview of the data storage stage.
Slide 39: This slide presents the consideration and best practices for data storage.
Slide 40: This slide presents the types of data storage technologies for data lifecycle management.
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Slide 42: This slide presents an overview of data backup and recovery strategy.
Slide 43: This slide presents the levels of data backup to identify the most suitable place to store organizational data.
Slide 44: This slide helps determine the type of data recovery that’s best for business and establishes goals concerning two measurements: RPO and RTO.
Slide 45: This slide presents data backup and recovery strategy best practices.
Slide 46: This slide presents a data backup and recovery strategy.
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Slide 48: This slide presents an overview of data encryption strategy to store organizational data securely.
Slide 49: This slide presents algorithms for encrypting data to ensure its protection and security.
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Slide 51: This slide presents an overview to data usage and processing stage.
Slide 52: This slide presents an overview to data processing and identifies the issues in current process.
Slide 53: This slide presents a checklist to help assist organization in selecting a right data processing tool.
Slide 54: This slide presents a comparison table that help organization in choosing appropriate processing technology.
Slide 55: This slide highlights the Title for the Topics to be covered further.
Slide 56: This slide presents an overview of data analysis.
Slide 57: This slide presents the methods for data analysis.
Slide 58: This slide presents a comparison for selecting a right data analysis tools assisting in gaining valuable insights from data.
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Slide 60: This slide presents an overview of data visualization process. It provides details about data visualization techniques and best practices.
Slide 61: This slide presents a comparison of data visualization tool to integrate the right tool for visualizing complex data.
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Slide 63: This slide presents an overview of data dissemination strategy.
Slide 64: This slide addresses the challenges faced by organization in effective data sharing.
Slide 65: This slide help select a right data sharing technology and tools.
Slide 66: This slide help establish data access control measures to limit data access and usage security.
Slide 67: This slide highlights the Title for the Topics to be covered further.
Slide 68: This stage presents an overview of the archival data stage to optimizes how necessary resources perform in the active system.
Slide 69: This slide presents steps for establishing a data archiving strategy.
Slide 70: This slide represents factors to consider when creating a successful archive strategy for the organization.
Slide 71: This slide help implement a data archival policy and procedures.
Slide 72: This slide presents a comparison of various data archiving tools to select the right one to support an organization's data archiving strategy.
Slide 73: This slide help determine which legal requirements for data retention apply to their organization.
Slide 74: This slide establishes a schedule for data retention to reduce data silos.
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Slide 76: This slide presents an overview of data destruction stage.
Slide 77: This slide presents various data destruction techniques for securely disposing of data.
Slide 78: This slide outlines a data disposal policy and procedure for ensure secure data destruction.
Slide 79: This slide help ensuring compliance with data destruction policies and procedures.
Slide 80: This slide presents a training program for teaching employees how to manage data disposal.
Slide 81: This slide presents various tools that company can integrate to automate the data destruction process.
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Slide 83: This slide provides an overview of data governance for data management.
Slide 84: This slide presents the best practices that organizations can create an effective data governance program.
Slide 85: This slide presents policies and procedures for data management.
Slide 86: This slide showcases a data governance framework to manage data throughout its lifecycle.\
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Slide 88: This slide presents data lifecycle flowchart.
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Slide 90: This slide presents a budget for effectively allocating resources for each stage of data lifecycle management.
Slide 91: This slide allocates teams for effectively managing the data lifecycle in the organization.
Slide 92: This slide highlights the Title for the Topics to be covered further.
Slide 93: This slide analyses the performance of KPIs to measure the effectiveness and efficiency optimized data lifecycle management.
Slide 94: This slide presents the current loss incurred by the company due to ineffective management of organizational data.
Slide 95: This slide highlights the Title for the Topics to be covered further.
Slide 96: This slide represents a data management dashboard. It monitors KPIs such as capacity by department, redundant content, obsolete content and trivial content.
Slide 97: This slide represents a data quality management to the highest quality.
Slide 98: This slide shows all the icons included in the presentation.
Slide 99: This is a Thank You slide with address, contact numbers and email address.