Unveiling the Power of Dark Data in Strategic Decision-Making

If you’ve never heard of dark data, you’re not alone. Setting aside the ominous name, dark data isn’t something that is inherently bad – although, in practice, it usually does end up this way. Dark data is usually unstructured data, though it can also be semi-structured or structured data that a business collects and stores but…

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Building an Effective Data Strategy for Edge Deployments

Data analytics and integration are the key components of building a data strategy. For organizations to have an effective data strategy, it requires the definition of measurable metrics and proper consideration of all data sources. An effective data strategy also needs to define how data can be moved from various sources to a location where…

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Databricks Announces Data Intelligence Platform for Communications

According to a new press release, Databricks has announced the launch of the Data Intelligence Platform for Communications, a comprehensive data and AI platform designed specifically for telecommunications carriers and network service providers. This platform offers Communication Service Providers (CSPs) a unified foundation for data and AI, allowing them to gain insights into networks, operations,…

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Dremio Partners with Carahsoft to Help Public Sector Organizations Harness Data Analytics

According to a new press release, Dremio and Carahsoft Technology Corp. have officially partnered, with Carahsoft serving as Dremio’s Master Government Aggregator®. This collaboration aims to offer Dremio’s comprehensive cloud and software portfolio to various public sector entities, including government, defense, intelligence, and education, through Carahsoft’s reseller partners and multiple government contracts such as NASA…

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2023 DATAVERSITY Top 20

As the year draws to a close, we here at DATAVERSITY have an annual tradition of digging deep into our data and reflecting on the hits and misses. What was the most popular Data Management content on dataversity.net and our training center over the past 12 months? Which core topics did you – our data…

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The Data-Centric Revolution: Best Practices and Schools of Ontology Design

I was recently asked to present “Enterprise Ontology Design and Implementation Best Practices” to a group of motivated ontologists and wanna-be ontologists. I was flattered to be asked, but I really had to pause for a bit. First, I’m kind of jaded by the term “best practices.” Usually, it’s just a summary of what everyone…

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The Role of Dark Data: Uncovering Insights in Unused Information

Dark data remains one of the greatest untapped resources in business. This is due to the vast amounts of usable data that exists within an organization, but is not utilized or analyzed to serve a specific purpose. These untapped sources could include customer information, transaction records, and more. Since dark data represents missed opportunities for…

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Data Catalog, Semantic Layer, and Data Warehouse: The Three Key Pillars of Enterprise Analytics

Analytics at the core is using data to derive insights for measuring and improving business performance [1]. To enable effective management, governance, and utilization of data and analytics, an increasing number of enterprises today are looking at deploying the data catalog, semantic layer, and data warehouse. But what exactly are these data and analytics tools…

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Data Activation: The Key to Taking Data Reports to the Next Level

Let’s talk about an inconvenient truth: For the typical business, data reporting has a tendency to fall short of producing the desired outcomes. Despite the significant resources that organizations often invest in producing data reports – and in the data collection, governance, and analytics processes that happen prior to reporting – the people who actually…

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Self-Service Data Access Best Practices

Today’s digital realm increasingly emphasizes the value of self-service data access. Firms are recognizing its potential to empower users and accelerate decision-making processes. However, with this rapid shift towards democratized data access come challenges that organizations need to address. One central conundrum confronts businesses: How can they provide expansive data access while ensuring that information…

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