5 Considerations for Augmented Data Management
Augmented data management (ADM) involves using machine learning (ML) and artificial intelligence (AI) engines to automate some of the manual tasks involved with managing data.
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Preparing for the California Consumer Privacy Act (CCPA)
The California Consumer Privacy Act is the latest data protection law designed to keep your sensitive data out of the wrong hands. Learn how a unified data platform can help with that.
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Becoming the Next Modern Bank
Digitalizing consumer banking in the Middle East to meet consumer needs is a massive digital disruption for the industry. Banks need to adopt new digital technologies to stay relevant.
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Zaloni Recap of Strata New York 2019
The Strata Data Conference covers key data management trends that are present in the big data industry today (and in the future). We've put together this summary for those that couldn't make the show.
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Unifying Your CRM and Customer Data into Golden Records
Understanding customers has become critical for companies who want to provide customized and unique experiences for their customers, but first they need access to accurate and reliable customer data.
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Get More Value from your Data with Zaloni
Getting the most out of your data involves many different aspects of a data platform but ultimately boils down to access to that data. We’ve been adding new features to our platform to help with this.
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How to Prep for Strata NY
Follow these simple tips to get the most out of your time at Strata NY!
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5 Tips for Selecting a Data Management Solution
Data management, data lineage, metadata management, governance, and cloud capabilities shouldn't be all you look at for a data management solution. Keep these tips in mind too.
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Three Methods to Take your Data from Shoddy to Sensational
Organizations that have mastered the access and understanding of data have promoted multiple paths for users to reliably and securely use data for better business outcomes. But it needs to be trusted.
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DM Radio Podcast: Volume, Velocity and Variety? How About Vision?
We all know about the three Big Data Vs by now: Volume, Velocity, and Variety. But what’s the tie that potentially binds all of these? Vision! Listen to this on-demand DM Radio podcast to learn more.
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Data Provisioning and Automation for Meaningful Business Insights
Real-time access to data depends on there being minimal bottlenecks to ensure rapid time to insights. To orchestrate & streamline automation, a unified & scalable data platform should be implemented.
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Self-Service Data for Your Organization in 3 Logical Steps
You can’t truly demonstrate the value of your data lake investment until you enable more business users to access it. The key to making data self-service a reality is right-sized data governance...
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What’s Wrong With Today's Data Catalog?
A future-proofed data catalog is what we call an “active data hub,” meaning an integrated catalog that enables faster delivery of “actionable” data to line of business (LOB) users...
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Active Data Hubs and the Data-Driven Organization
Business users need data, lots of it, and faster than ever. Waiting weeks or months for a programmer to code up a report had been the norm until recently. But this practice is no longer acceptable...
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6 Advantages of a Microservices Approach to the Data Lake
Enabling these microservices to work independently brings a number of advantages that can help you derive more value from your team and the data lake.
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How to Make Data Less Difficult
Modernizing a Data Platform: How to shape data flow, refine data quality and right-size data governance for the finding value.
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Key Components of a Modern Data Architecture
As organizations evolve their data architecture to solve for emerging use cases, they’re finding this process overwhelming. There are 3 key components to help them overcome those challenges.
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Data Governance and Data Science, Working Together
Data discovery sandboxes offer even more value if they are easily merged into an automated end-to-end process between back-end governance and self-service engagement by analysts. Read more!
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