You will agree that as the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue. Also, its for achieving regulatory compliance and accomplishing other strategic objectives.
Seriously, it’s no longer a secret that data has grown in volume, variety and velocity. It has gone asa far as generating about 2.5 quintillion generated every day. Also, about 90 percent of the world’s data volume has been created in the last two years. From the look of things, this data explosion has engulfed a lot of companies around the world.
This has specifically made it nearly impossible to manage them, not to talk of putting it to smart and/or strategic use. The question now is; how do you identify the time-sensitive, relevant insights that could mean the difference between the life and death of your business/organisation?
Note that time sensitivity in data management and analytics is a massive issue. Information and Data needs to fuel fast decisions that make your company more effective, competitive and customer-centric.
To be sincere, this was the case before Corona Virus (COVID 19) pandemic. In addition, it’s even more important in the face of the radical disruption it’s caused. Quickly, the answer is radical transformation. This is 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
The Ultra Mobile recently shared how it makes use of Data Intelligence (DI) as part of a modern, ongoing approach to data governance and therefore control versus chaos.
However, to manage not only risk, but also to grow and compete effectively requires the ability to deal with both planned and unplanned changes in the system.
Now, with Data Intelligence 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. In the most part, answers to questions about the health of the business can be provided. This also includes how best to retain customers, and it can explore ways to grow the subscriber base of an organisation.
To be able to integrate all data touch-points, including Denodo for data visualization, and Jira for bookings and ticketing, DM for data modeling has been key. This metadata is introduced into the data catalog. Next, definitions are added within a business glossary, and the searchable repository enables users to understand how data is used and stored in the cloud.
Several company’s Data Intelligence’s mind map also has proved helpful with being able to see associations and entity relationships. This goes that way especially in terms of impact analysis for evaluating heir downstream effects and planned changes.
Data Intelligence Just Got Smarter
Every season, several companies releases new version of data intelligence (DI). The enhancements include improvements to the user interface (UI), plus new artificial intelligence (AI) and self-service data discovery capabilities.
The new Data Intelligence makes it easier for organizations to tailor the solution to meet the unique needs of their data governance frameworks. They can also identify and socialize the most valuable data assets. Lastly, then expand metadata scanning and sensitive data tracking.
Using DI, customers are powering comprehensive data governance initiatives, cloud migration and other massive digital transformation projects.
Secondly, it facilitates both IT- and business-friendly discovery, navigation and understanding of data assets within context and in line with governance protocols.
Thats not all, it goes forward to provide companies with even more flexibility to ensure the software fits their unique frameworks and workflows. This is because one size does not fit all when it comes to data governance.
Coupled by a flexible meta-model and deep metadata-driven automation, the updated DI uniquely addresses both IT and business data governance needs to safeguard against risks and harness opportunities.
Finally, it combines and then raises the visibility of business and physical data assets in a framework that is flexible but always in synchronization and therefore sustainable. Then stakeholders from across the enterprise can discover, manage and collaborate on the most relevant and valuable data assets.
The Latest Data Intelligence (DI) release builds on prior 2021/2022 updates with:
- First of all, new role-based and governance assignment capabilities, making it easier for an organization to tailor DI to its data governance needs and framework
- Secondly, the enhanced UI, workflow and search to speed navigation, asset discovery, contextual understanding and data governance management
- Thirdly, Expanded AI capabilities to enrich metadata scanning and speed the handling of sensitive data for automated GDPR and CCPA compliance programs
- Fourth, Greater visibility into business and data lineage through new vantage points, filters and drilldowns
- Fifth, Improved socialization and collaboration features to increase business user engagement and capitalize on organizational data quality knowledge
- Lastly, More administrative tools to efficiently onboard new users and roles, manage access rights, and address audit requests
Additionally, Data Intelligence companies was recently evaluated by Gartner for the 2020/2021 “Metadata Management Solutions Magic Quadrant,” which named some of them as “Leaders” for the year. Finally, you can learn more by downloading a copy of the Gartner Magic Quadrant Report from Google.com.
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