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From Chaos to Control with Data Intelligence

by Mariann McDonagh       • December 3, 2020

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives.

It’s no secret that data has grown in volume, variety and velocity, with 2.5 quintillion bytes generated every day and 90 percent of the world’s data volume created just in the last two years. This data explosion has overwhelmed most organizations, making it nearly impossible for them to manage much less put to smart, strategic use. How do you identify the time-sensitive, relevant insights that could mean the difference between the life and death of your business?

Data Intelligence

Time sensitivity in data management and analytics is a massive issue. Data needs to fuel rapid decisions that make your organization more effective, customer-centric and competitive. That was true before COVID 19, and it’s even more important in the face of the radical disruption it’s caused. The answer is radical transformation, made possible by an intelligent, data-driven approach to:

  • New business models
  • New products and services
  • Hyper-competition
  • Market expansion

One Customer’s Journey to Controlling Data Chaos

Ultra Mobile recently shared how it uses erwin Data Intelligence (erwin DI) as part of a modern, ongoing approach to data governance and therefore control versus chaos.

To manage not only risk but also to grow and compete effectively requires the ability to deal with both planned and unplanned change.

With erwin DI as its data governance platform, Ultra Mobile has a one-stop shop to see all of its data – and data changes – in one place thanks to forward and reverse lineage. Now, questions about the health of the business can be answered, including how best to retain customers, and it can explore ways to grow the subscriber base.

Being able to integrate all data touchpoints, including erwin DM for data modeling, Denodo for data visualization, and Jira for ticketing, has been key. This metadata is ingested into the data catalog, definitions are added within a business glossary, and the searchable repository enables users to understand how data is used and stored.

erwin DI’s mind map also has proved helpful with being able to see associations and entity relationships, especially in terms of impact analysis for evaluating planned changes and their downstream effects.

Watch the full webinar.

Data Intelligence Just Got Smarter

erwin just released a new version of erwin DI. The enhancements include improvements to the user interface (UI), plus new artificial intelligence (AI) and self-service data discovery capabilities.

 

The new erwin DI makes it easier for organizations to tailor the solution to meet the unique needs of their data governance frameworks, identify and socialize the most valuable data assets, and expand metadata scanning and sensitive data tracking.

Using erwin DI, customers are powering comprehensive data governance initiatives, cloud migration and other massive digital transformation projects.

It facilitates both IT- and business-friendly discovery, navigation and understanding of data assets within context and in line with governance protocols.

And it provides organizations with even more flexibility to ensure the software fits their unique frameworks and workflows because one size does not fit all when it comes to data governance.

Backed by a flexible metamodel and deep metadata-driven automation, the updated erwin DI uniquely addresses both IT and business data governance needs to safeguard against risks and harness opportunities.

It combines and then raises the visibility of business and physical data assets in a framework that is flexible but always in sync and therefore sustainable. Then stakeholders from across the enterprise can discover, manage and collaborate on the most relevant and valuable data assets.

The latest erwin DI release builds on prior 2020 updates with:

  • New role-based and governance assignment capabilities, making it easier for an organization to tailor erwin DI to its data governance needs and framework
  • Enhanced UI, workflow and search to speed navigation, asset discovery, contextual understanding and data governance management
  • Expanded AI capabilities to enrich metadata scanning and speed the handling of sensitive data for automated GDPR and CCPA compliance programs
  • Greater visibility into business and data lineage through new vantage points, filters and drilldowns
  • Improved socialization and collaboration features to increase business user engagement and capitalize on organizational data quality knowledge
  • More administrative tools to efficiently onboard new users and roles, manage access rights, and address audit requests

Additionally, erwin DI was recently evaluated by Gartner for the 2020 “Metadata Management Solutions Magic Quadrant,” which named erwin as a “Leader” for the second consecutive year. Click here to download a copy of the Gartner Magic Quadrant Report.

You also can request a free demo of erwin DI here.

Gartner Magic Quadrant

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