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  • Empower Business Users to Make Faster, Smarter Decisions with Big Data

    Discover how to simplify big data adoption, ensure data quality, and accelerate analytics by learning about the Infogix Data3Sixty platform for data quality, governance, and analytics.

  • The Top 3 Obstacles to GDPR Compliance

    Discover the top 3 obstacles to GDPR compliance and find out how an enterprise-wide data governance program that incorporates analytics and KPIs for validating personal data quality can help you comply with GDPR regulations.

  • Case Study: Automating Reconciliation of 834 Membership & Enrollment Data

    In this case study, learn how one of the top-5 health insurers in the U.S. was able to automate their reconciliation process, reduce administrative costs, and have more reliable policyholder data after deploying Infogix Enterprise Data Analysis Platform.

  • Achieving GDPR Compliance with Data Governance

    Discover how to meet GDPR compliance requirements with an organization-wide data governance program that relies on collaboration, shared accountability, machine learning analytics, and enhanced data visualizations.

  • From MDM to Data Governance: True Mastery of the Insurance Corporate Data Assets Requires a New Way of Thinking

    Given the potential risks that poor or ineffective data management can have resulting in financial damage, harm to a company's reputation and the operational inefficiencies caused by misinformation, data governance is an important investment to make. Learn about what makes a data governance initiative successful.

  • Accelerate Advanced Analytics to Gain a Competitive Edge

    Discover how to accelerate analytics with highly visual data management and self-service capabilities that scale with the growth of your business. Plus, learn about the Infogix Data3Sixty platform and how to incorporate machine learning, enhanced data visualizations, and data governance into your analytics strategy.

  • Ensure Big Data Quality with Infogix Data3Sixty

    Discover how to maximize the value of your data by learning about the Infogix Data3Sixty platform for big data quality. Plus, find out how to bring the power of Hadoop, enhanced data governance, machine learning, and self-service to your big data analytics strategy.

  • Managing Big Data Quality in a Big Data World

    Managers are under incredible pressure to deliver revenue and cost reduction business transformation. But the need to utilize data analytics to improve results is critical to a business's success – are you falling short of analyzing data at the speed of business? Learn how to successfully manage big data quality in a big (and fast) data world.

  • How Infogix Prevents Data Mishaps ... With Data Governance

    If you've ever had Medicaid, you may have missed your card at one time or another. Why? Because Medicaid Membership systems aren't synchronized and bad data is causing Medicaid membership mishaps. In this infographic, learn how Infogix works with data to implement a governance plan ... and prevent issues like those with Medicaid from happening.

  • Data3Sixty Govern: Data Governance Tool Overview

    Data today can be both an appreciable asset and a latent liability. In this era of big data, information is being amassed, disseminated, and deployed at a record pace. It's essential to institute data governance to keep data at its best. Learn about the Infogix Data3Sixty Govern tool which can help elevate your data governance.

  • Liberate Your Data: Infogix Data3Sixty Overview

    Data governance shouldn't have to be a struggle. In this brief infographic, learn how to know if your data is trustworthy and of good quality. Plus, get an overview of the Infogix Data3Sixty & how it can help transform your data into insights.

  • General Data Protection Regulation (GDPR) and the Vital Role of Data Governance

    Data policies and processing are under further scrutiny as the most expansive and impactful regulation to cover Personally Identifiable Information (PII) ever legislated is being enacted - the General Data Protection Regulation (GDPR). Learn what the GDPR is, how is will affect your business, what constitutes as PII, and more.

  • Maximize Your Data for the Finance Audience

    If your financial team doesn't have data controls, you could be risking inaccurate revenue recognition, fines exposure for inadequate compliance, or high costs from inefficient manual operating controls. Learn how to free your team from flying blind by maximizing your data.

  • Product Data Sheet: Infogix Data3Sixty Data Governance Tool

    With the sheer volume of data today, it's crucial to ensure your organization has a firm understanding of your data, and can quantify its value. In this product data sheet, learn about Infogix Data3Sixty, a cloud-based tool that delivers a perspective of your data landscape.

  • Product Overview: Infogix Sagacity To Turn Data Into Insight

    Learn about how your enterprise can use Infogix Sagacity to make faster, smarter data-based decisions. Uncover how Sagacity can be used to turn raw data into insights with a sample case study.

  • Stay on Top of Data Processes to Unlock More Big Data Value

    With the ever-increasing volume of big data, it's imperative that your company stays on top of data governance and preparation processes. In this expert e-guide, learn how to unlock greater value from big data. Plus, discover how Nationwide Mutual Insurance Co. realized great value and benefits from their finance data governance initiative.

  • 5-Step Data Quality Framework For Data In Motion

    6 out of 10 users don't trust their data – and this is all the more strengthened when data is flowing through a myriad of systems prior to analysis. The truth is, if your data is in motion, you may have data quality issues. Learn a 5-step data quality framework for data in motion.

  • Data Governance and Data Integrity: What's the Real Cost of Bad Data?

    80% of insurers identified as having issues with customer data in a recent survey. Inside this research report, discover the impact of poor or inconsistent data, the priority of these issues amongst your peers, and some potential strategies for taking steps to better data integrity.

  • Personalize the Member Experience to Deepen Member Engagement

    Personalization is the key to success in today's consumer-motivated setting. But in the health care industry, personalization is expected at a challengingly high level. Learn about how to build member engagement through personalization and data analytics, using the health care industry as an example.

  • Case Study: Enhancing Risk Mitigation with Automated, Flexible Analytics

    Meta Payments Systems wanted to identify and mitigate information risks proactively within their processing environment by deploying automated analytics. Find out how they enhanced visibility, generated valuable operational insight, and resolved information risks with an advanced analytics platform.

  • MTS Allstream Leverages Advanced Analytics to Reduce Fraud by 200%

    This case study explores how MTS Allstream resolved the disconnect between the information they were storing and their ability to analyze this data. Access now to learn more about the enterprise-grade analytics platform they leveraged to revolutionize fraud management.

  • Ensuring Integrity of Financial Data Warehouse Information

    Learn how a large insurance company overcame poor data integrity from its varied sources and platforms and gained consistent financial reporting from all sources, efficient, timely reconciliation between GL and data warehouse, and SOX compliance.

  • How a Top 10 Bank Uses A Data Analytics Tool to Manage Operational Risk

    In this case study, learn about the analytics tool a top 10 U.S. Commercial Bank ultimately adopted to gain visibility and operational controls for compliance. Discover the benefits they achieved, including reduced costs while increasing productivity, processed full audit in real time, and more.

  • Improved Operational Efficiencies through End-To-End Financial Reconciliation

    This case study investigates how an insurance company transformed financial reconciliation using automation, which they gained after adopting a data analysis platform. Learn the benefits they achieved as a result, including improved operational efficiency, reduced costs, and more.

  • Case Study: How a Fortune 100 Company Automated Data Quality to Reduce Errors

    In this case study, explore how a financial services company leveraged data analysis techniques to better manage its $500 billion in assets and improve data quality. Learn how you can implement this process to lower risk rate and automate your data quality.

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