Cure for Dark Data
1. Big Data’s Relentless Growth
Data Optimization
connects, identifies, enriches, indexes, and properly routes all your data for maximum utilization.
Data Optimization helps to turn your Dark Data into Intelligent Data, eliminate ROT, dramatically reduce unnecessary storage costs, make informed AI-augmented data policy decisions, and maximize the value of your data.
In today’s data-driven world, organizations are sitting on vast amounts of escalating Big Data, and harnessing the true potential of this data [as well as recognizing and eliminating its inherent risk] remains a daunting and costly challenge. That’s where Zantaz's Data Optimization comes in. Data Optimization is designed to provide rapid identification and deep AI-augmented insights into the intricate landscape of data stores.
By unlocking the untapped potential of your relentlessly increasing data assets, Zantaz Data Optimization empowers you to turn Dark Data into Valuable Intelligent Data, eliminate ROT, dramatically reduce unnecessary storage costs, modernize your archive, make informed AI-augmented decisions, and maximize the value of all your data.
Dark Data is Dumb Data
Data Optimization provides comprehensive visibility into your organization's entire data estate. It helps identify, classify, and profile all data, including the Dark Data that often flies under the radar. With Universal Data Connection, your organization can transform its approach to Big Data, harnessing its potential value while ensuring robust Data Management. Data Optimization will equip you with the tools necessary to understand your data landscape better, make informed decisions, modernize your legacy storage environments, and leverage your data assets optimally.
Artificial Intelligence
Data Optimization’s human-augmented Artificial Intelligence can be used in determining your critical data policies by leveraging the strengths of both humans and machines. Artificial Intelligence’s ability to quickly process and analyze large amounts of data is combined with human expertise and judgment to help you make more informed, cost-effective, and successful decisions about data policies. Additionally, Data Optimization's human-augmented AI can be used effectively to analyze data usage patterns and identify potential eDiscovery and compliance issues.
Powerful Capacity
With Universal Data Connection, you can interrogate massive volumes of Big Data, even at the exabyte scale. By doing so, you can identify sensitive information, such as personally identifiable information [PII], protected health information [PHI], and payment card industry [PCI] data. Data Optimization’s built-in AI-infused Data Governance workflows further facilitate the secure movement of data to modernized repositories, archives, review platforms, and more.
Empowering Your Organization with Valuable Intelligent Data
Zantaz Data Optimization is a next-generation Data Management tool that offers you a robust solution for modernizing and optimizing your data storage, bolstering efficiency, achieving regulatory compliance, substantially decreasing data storage expenses, and unlocking the inherent value of your data assets. Equipped with sophisticated features, AI-enhanced functionalities, and an intuitive interface, it enables you to make strategic, data-driven decisions, reduce operational expenses, and stay competitive in the contemporary data-centric market … and it more than pays for itself.
2. Metastasizing Dark Data
Zantaz Data Optimization turns Dark Data into Intelligent Data.
The remarkable strength of Zantaz Data Optimization lies in its ability to identify, enrich, index, classify, profile, and route Dark Data from virtually any repository - turning all your Unstructured Data, including troublesome Dark Data, into self-aware and Valuable Intelligent Data.
Zantaz Data Optimization goes beyond being a mere Data Management tool - it is a transformative solution that converts your Unstructured Data into Valuable Intelligent Data. With its suite of features and benefits, it simplifies data management, significantly reduces data storage costs, and modernizes your data strategy. In essence, Data Optimization unlocks the untapped potential of your data assets, making it an indispensable companion for digital engineers navigating the intricate landscape of Unstructured Data.
Demystifying Your Dark Data
A considerable part of enterprise data, up to 80%, is Dark Data – data that your organization has forgotten or may not even realize it possesses. Unlike physical assets, data isn't visible, which complicates the process of identifying and disposing of superfluous Dark Data. This kind of data, generated by humans, machines, and processes, is stored but rarely used, leading to needless recurring storage costs and cluttering outdated legacy data repositories, thereby hindering access to valuable data. Furthermore, the environmental impact of storing redundant data is significant, demanding excessive energy, cooling, and data center space.
Automated Data Classification
Data Optimization enhances the speed, accuracy, and scalability of data classification by automating the process. By harnessing advanced machine learning algorithms, Data Optimization eliminates the need for manual data sorting, thereby reducing human error and bias - thus ensuring precise classification. The adaptable algorithms of Data Optimization evolve with changing data patterns, thereby maintaining its effectiveness in dynamic data environments. By staying up-to-date with emerging technologies and trends, Data Optimization provides your organization with continuous support in its data management efforts.
In addition to these significant features, Data Optimization provides tangible environmental benefits by reducing legacy data storage needs and, consequently, electricity consumption and carbon footprint. This result translates into significant cost savings for enterprises, alongside reduced energy usage and carbon emissions. It also offers the potential for earning carbon credits.
Valuable Intelligent Data
With Data Optimization, your organization can convert its underutilized data into Valuable Intelligent Data, substantially amplifying the utility and value of its data assets. This groundbreaking Data Governance tool introduces a new level of transparency and control to data management [modernizing all legacy archives]. The AI-powered approach not only minimizes unnecessary legacy data storage costs but also uncovers potential business insights hidden within Big Data. It provides an opportunity to enhance decision-making, boost operational efficiency, and foster innovation.
Comprehensive Data Management
Zantaz provides a modern next-generation approach to effective Data Management by offering comprehensive insights into your data landscape. It facilitates informed decision-making about data retention, organization, and cleanup, enhancing data quality and management practices.
3. Unrecognized ROT
Zantaz Data Optimization
automates the identification and classification of data for retention or disposal.
Data Optimization's machine learning algorithms allow your organization to intelligently decide what data to retain and what to discard, making data management more effective.
These algorithms comb through vast volumes of data, accurately distinguishing between valuable data and ROT.
ROT Disposal & Cost Savings
Data Optimization revolutionizes data management by offering intelligent solutions to the ever-present challenge of data ROT. Utilizing cutting-edge machine learning algorithms and data analysis techniques, Zantaz provides a suite of features designed to address the increasing complexities of Data Management, especially the limitation of legacy archive solutions.
It Just Keeps On Growing …
Interestingly, about 30% of an organization's Big Data is redundant, obsolete, or trivial [ROT], lacking any substantial business or legal value. However, your organization continues to store such unnecessary data. The challenge is compounded as the volume of Big Data grows rapidly, constituting 80% to 90% of all new enterprise data and proliferating at triple the rate of structured data. A significant portion of this data exists outside traditional data centers, accumulating swiftly and invisibly. In an era where IT departments are tasked with reducing escalating expenditures both on-premises and in the cloud, it is essential to eliminate or at least minimize debilitating ROT.
Significant Cost Reduction
Data Optimization enables you to achieve substantial cost savings by identifying and disposing of ROT. By purging redundant and obsolete data, you can optimize storage resources and reduce expenses associated with managing extraneous data.
Identify, Classify, and Profile
Lack of visibility into Dark Data makes it challenging to identify ROT, let alone manage it efficiently. This is where Data Optimization becomes an invaluable next-generation archiving tool. It enables you to cut through the clutter of your legacy data repositories swiftly and unearth Dark Data. By deploying advanced AI-enhanced algorithms, Data Optimization can identify, classify, and profile your data, distinguishing between valuable data and ROT. Such clarity allows for streamlined and cost-effective data management. Additionally, understanding your data can also facilitate more effective cloud migration strategies.
ROT Scoring and Analysis
Data Optimization delivers accurate ROT scoring and analysis, categorizing data based on redundancy, obsolescence, and triviality. With this data categorization, your organization can efficiently prioritize cleanup, migration, or archival activities, targeting its resources toward the most impactful areas, resulting in considerable time and resource savings.
Enhanced Security and Compliance
With its intelligent handling of ROT, Data Optimization minimizes the risk of data breaches and non-compliance issues. It ensures that sensitive and obsolete data are properly managed, mitigating potential security vulnerabilities and compliance risks. It truly modernizes any legacy storage option.
4. Reducing Storage Costs
Zantaz Data Optimization empowers your organization to assess its escalating data estate costs and take action to dramatically reduce storage expenses.
Data Optimization facilitates fast, petabyte-scale metadata AI-augmented analysis to determine critical criteria such as data ownership, utilization, redundancy, and age. Through AI-augmented analysis and defensible deletion, you can remove unnecessary data that exceeds defined retention schedules, achieving immediate cost savings and a more streamlined data environment.
Data Remediation
Data Optimization facilitates fast, petabyte-scale metadata AI-augmented analysis to determine critical criteria such as data ownership, utilization, redundancy, and age. By eliminating old, redundant, and irrelevant data, especially Dark Data, your organization can improve data quality, dramatically reduce storage costs, and enhance its overall security and compliance posture.
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Data Storage Optimization and Cost Savings
Data Optimization empowers your organization to assess its escalating data estate costs and take actionable insights to reduce legacy storage expenses dramatically. Through AI-augmented analysis and defensible deletion, you can remove unnecessary data that exceeds defined retention schedules, achieving immediate cost savings and a more streamlined data environment.
Since Data Optimization can help reduce storage infrastructure, support, and power by up to 70%, the savings in annual data storage costs can be significant. For example, if an enterprise is currently spending $50,000 per terabyte of data per year, reducing its storage needs by 70% would result in savings of $35,000 per terabyte of data annually. For a regional enterprise with 10 terabytes of data, this could result in savings of $350,000 per year, and for a large international enterprise with 1,000 terabytes of data, the savings could be as much as $35 million per year.
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Reducing Electricity Consumption
Utilizing Data Optimization to reduce data storage can result in significant cost savings, as well as a reduction in electricity consumption and carbon footprint. By reducing the amount of data stored, your organization can mitigate the environmental impact of its data storage practices.
In terms of electricity consumption, the average electricity consumption for the storage of one terabyte of data in a disk array is approximately 120 kWh per year. Therefore, if an enterprise is able to reduce its data storage by 70%, it could potentially reduce its electricity consumption by up to 84 kWh per terabyte of data annually.
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Cost Savings From Carbon Credits
Reducing electricity consumption can have a significant impact on an enterprise’s carbon footprint, as the generation of electricity is a major source of greenhouse gas emissions. The reduction of 84 kWh per terabyte of data annually could result in a reduction of approximately 60 kg of CO2 emissions per year, assuming an average carbon intensity of 0.71 kg CO2 per kWh. For an enterprise with 100 terabytes of data, this could result in a reduction of approximately 6,000 kg of CO2 emissions per year.
As of March 2023, the average price of carbon credits in the European Union Emissions Trading System [EU ETS] was approximately €60 per tonne of CO2 emissions. Using this price as a reference, the reduction of 6,000 kg of CO2 emissions per year would represent a cost savings of approximately €360 per year. Reducing electricity consumption through the use of more efficient data storage solutions can have significant environmental benefits while reducing costs for enterprises over the long term.
5. Unidentified Data
Zantaz Data Optimization
enables you to gain comprehensive visibility into all your disparate data estates, by identifying, classifying, and profiling unstructured and Dark Data.
Data Optimization provides a seamless experience for data discovery, analysis, and remediation, empowering users to harness the power of data identification without the need for extensive training or specialized skills.
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Data Visibility
Data Optimization enables your organization to gain comprehensive visibility into its entire data estate, helping identify, classify, and profile Unstructured Data.
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Dark Data Discovery
Data Optimization provides powerful search capabilities, allowing efficient access to Dark Data by streamlining data discovery processes and extracting valuable insights. One of its remarkable strengths lies in its ability to identify, classify, and profile Dark Data from virtually any repository.
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Adaptability to Evolving Data Patterns
Data Optimization’s AI-augmented algorithms evolve with changing data patterns, ensuring its effectiveness in dynamic data environments. It stays up-to-date with emerging technologies and trends, providing your organization with continuous support in its data management efforts.
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Support for Advanced AI Initiatives
Data Optimization provides a solid foundation for organizations looking to leverage advanced AI initiatives. The tool strategically incorporates machine learning capabilities, improving data quality, automating object classification, and enhancing data retention and deletion policies. This allows your organization to unlock the full potential of AI technologies and drive innovation within its operations.
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Comprehensive Reporting and Analytics
Data Optimization provides comprehensive reporting and AI-augmented analytics capabilities, offering detailed insights into data usage, storage optimization, compliance metrics, and more. Your organization can leverage these analytics to drive data-driven decision-making, measure the effectiveness of data management strategies, and identify areas for improvement.
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Scalable and Future-Ready Architecture
Data Optimization is built on a scalable and future-ready architecture, capable of handling large and growing data volumes. It can adapt to evolving business needs and seamlessly integrate with existing data management systems and workflows. This ensures long-term viability and flexibility for your organization as its data requirements continue to evolve.
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User-Friendly Interface and Intuitive Workflow
Data Optimization features a user-friendly interface and intuitive Data Management workflow, making it accessible to users with varying levels of technical expertise. The solution provides a seamless experience for data discovery, analysis, and remediation, empowering users to harness the power of data identification without the need for extensive training or specialized skills.
6. eDiscovery & Compliance
With pattern recognition and natural language processing capabilities,
Zantaz Data Optimization enhances the quality and relevance of data exported during the early case assessment process.
Data Optimization ensures that only essential records are preserved for
business, compliance, and legal purposes.
Data Optimization assists in meeting regulatory compliance requirements and maintaining robust Data Governance practices. It provides comprehensive visibility into data assets, helps identify sensitive information, and facilitates data subject access requests. By ensuring compliance with data privacy regulations and implementing strong Data Governance measures, your organization can mitigate risks.
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Security and Data Protection
Data Optimization prioritizes data security and protection by employing robust encryption mechanisms, access controls, and auditing capabilities to safeguard sensitive information throughout the data management process. By implementing stringent security measures, your organization can mitigate the risk of data breaches and maintain data privacy, integrity, and immutability.
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Agnostic Collaboration and Integration
Data Optimization supports seamless collaboration and integration with existing data management and analysis tools. It can integrate with popular data platforms, such as data lakes, data warehouses, and analytics solutions, allowing your organization to leverage its existing technology investments. This agnostic integration enables a unified data ecosystem.
Sensitive Data Classification Management
Data Optimization offers robust capabilities for sensitive data classification and management. It enables your organization to identify and catalog sensitive and possibly compromising data across various locations and file types, ensuring compliance and protecting sensitive information. To comply with data privacy regulations like GDPR and CCPA/CPRA, Ai Data Processing supports your organization in identifying and fulfilling data for subject access requests and enforcing data minimization. It streamlines the process of managing privacy requests and enables effective data management.
Adaptive Hosting for Multinationals
Data Optimization offers flexible hosting options, catering to varying data sovereignty requirements. This versatility ensures your organization can maintain control over its data while complying with various government and industry regulations.
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Archive Pre-Processing
Data Optimization integrates into the archival process, ensuring that only essential records are preserved for business, compliance, and legal purposes. This optimization of long-term archival storage saves costs and improves the efficiency of future investigations or eDiscovery processes.
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Discovery Enhancement
Your organization can streamline the discovery process and reduce time and cost. With pattern recognition and natural language processing capabilities, Data Optimization enhances the quality and relevance of data exported during the early case assessment process. Your organization can streamline the discovery process, reduce time and cost, and improve overall litigation readiness.
7. Connecting with Unlimited Data Sources
AI Data Connection captures and connects data from all your data sources, including enterprise channels, mobile devices, social media, and collaboration tools.
AI Data Connection offers seamless integration with various data sources through its extensive plugin architecture and out-of-the-box connectors. It allows you to collect data from any source and send it to any target destination.
With its comprehensive range of features and benefits, Data Optimization’s AI Data Connection provides access to a wide variety of data sources for a Data Detect deep scan [while improving data accessibility and enabling informed decision-making].
As a key component of Data Optimization, AI Data Connection offers unparalleled control and flexibility over data management processes. It seamlessly captures and preserves content from various enterprise channels, simplifying compliance and eDiscovery. The effortless data mobility feature enables secure data shipment to desired destinations, supporting digital transformation and data consolidation. The powerful data transformation engine overcomes challenges posed by legacy applications, ensuring easy access and transformation of data from any source.
In today’s fragmented and siloed data landscape, your organization faces complex data management processes. AI Data Connection simplifies this by providing a robust solution that streamlines digital transformation, ensures compliance, and increases operational efficiency.
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Seamless Data Capture and Preservation
AI Data Connection enables your organization to capture and preserve data from various sources, including enterprise communication channels, mobile devices, social media, and collaboration tools. It simplifies compliance with regulatory requirements, facilitates eDiscovery, and ensures the retention of valuable data. By connecting and capturing data from any source and sending it to any destination, Data Connect empowers your organization to optimize its data management processes and drive business success in the digital age.
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Effortless Data Mobility
AI Data Connection simplifies data mobility by securely transferring data from its source to the desired destination. It facilitates digital transformation, data consolidation, and application migration, allowing your organization to orchestrate and manage data mobility with ease.
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Flexible Data Transformation
With a powerful data transformation engine, AI Data Connection overcomes challenges posed by legacy applications and seamlessly connects to unstructured and semi-structured data. It transforms data into formats suitable for long-term preservation, enabling your organization to accelerate its digital transformation journeys.
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Enhanced Integration and Automation
AI Data Connection offers seamless integration with various data sources through its extensive plugin architecture and out-of-the-box connectors. It allows your organization to collect data from any source and send it to any target destination. Automation schedules can be configured to streamline data management workflows and create customized outputs.
