The Real Costs of Building vs. Buying Data Analytics Capabilities

February 1, 2019

Today, many organizations must find solutions that organize and analyze the masses of data in their systems. It’s a complex puzzle that requires skillful resource management and careful planning, which leads organizations to weigh the two options: build an in-house solution or buy it from a vendor. Big data can be a source of tremendous value to organizations however, managing, organizing and mining that data can seem like an overwhelming task. Having the right analytics accessible through dashboards, reports and visualization can increase organizational efficiency and spur innovation. Companies that leverage big data analytics outperform their competitors by 20% or more and big data can help businesses realize a potential increase of 60% operating margins1.

Spotlight

YarcData

YarcData delivers business-focused real-time graph analytics for enterprises to gain business insight by discovering unknown relationships in Big Data. Adopters include the Institute of Systems Biology, the Mayo Clinic, Noblis, Sandia National Labs, the Canadian government, as well as multiple deployments in the United States government. Started as a division of Cray Inc., the YarcData business is in the process of transitioning to YarcData Inc., a Cray company. YarcData is based in the San Francisco bay area.

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Human-Proofing Sensitive Data Governance with Automated Data Classification

whitePaper | December 1, 2022

IT and business leaders are increasingly seeking to harness the valuable data they collect every day to transform their business operations. Yet, these data assets are only as valuable as their organization’s ability to securely access and convert siloed information into scalable enterprise-wide insights. Even though every modern enterprise generates a goldmine of data, many lack the necessary infrastructure to mitigate data privacy and security concerns enough to fully leverage that data for informed decision-making and maximum impact.

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Top 6 use cases for a self-sustainable Contact Center powered by Connected Data

whitePaper | August 10, 2022

Connected Data, though used synonymously with Big Data, is carefully created and curated for storage and reference during the customer’s lifetime. As we already know, enterprises need to carefully build and store Big Data to avoid creating a data swamp. Connected Data goes a step ahead of Big Data. It is customer-specific data built in a context-sensitive framework to ensure a 360-degree view of the customer profile, purchasing habits, preferences, etc., at a glance.

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Dell PowerMax 2500 and 8500 Best Practices for Mission Critical SQL Server Databases

whitePaper | August 25, 2022

The new PowerMax 2500 and 8500 storage systems with PowerMaxOS 10 feature some of the most advanced performance, data protection, data reduction, and data mobility servicing enterprise workloads and applications. The new PowerMax systems come with large DRAM for user data and persistent memory for metadata, end-to-end NVMe, 100 Gbit RDMA fabric, real-time machine learning, 64-bit native file services, seamless cloud mobility, and ability to deliver millions of IOPS at submillisecond latency.

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Do No Harm Guide Centering Accessibility in Data Visualization

whitePaper | December 29, 2022

Every day we are inundated with tables, graphs, charts, and maps explaining everything, including the unemployment rate, COVID-19 vaccination rates, baseball home run launch velocities, and our investment portfolios. When made well, data visualizations can help readers and users find insights and make discoveries. When made poorly, they obfuscate, mislead, or make it difficult for people to use them effectively.

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Analytical Data Infrastructure MarketStudy (Excerpt)

whitePaper | June 23, 2021

Analytical data infrastructure (ADI) platforms underpin key analytics models via processes like data integration, preparation, management, and storage. But with complex cloud architectures, as-a-service offerings, and innovative new analytics and process developments, how can the discerning expert choose the right ADI offerings for their business?

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Building Data Products: The Ultimate How-To Guide

whitePaper | November 18, 2022

It’s time to treat data like a product, not an afterthought. A new paradigm has emerged among forward-thinking data teams: treat your data like a product. This may sound easy in theory, but it’s far from it! Product development processes have become incredibly sophisticated, with resources dedicated to reliability, adoption, feature roadmaps, and more.

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Spotlight

YarcData

YarcData delivers business-focused real-time graph analytics for enterprises to gain business insight by discovering unknown relationships in Big Data. Adopters include the Institute of Systems Biology, the Mayo Clinic, Noblis, Sandia National Labs, the Canadian government, as well as multiple deployments in the United States government. Started as a division of Cray Inc., the YarcData business is in the process of transitioning to YarcData Inc., a Cray company. YarcData is based in the San Francisco bay area.

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