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The future of data: A 5-pillar approach to modern data management

CIO

Poor-quality data is as detrimental as a pipeline outage, and perhaps more, as it can lead to bad decisions and provide harmful information to customers. It also needs to champion the democratization of data by ensuring the data catalog contains meaningful, reliable information and is coupled with proper access controls.

Data 167
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Business intelligence and analytics firm Pyramid Analytics raises $100M

TechCrunch

By handling large amounts of data to analyze and benchmark lines of business, BI promises to help identify, develop, and otherwise create new revenue opportunities. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy.

Analytics 215
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What is a business intelligence analyst? A key role for data-driven decisions

CIO

Business intelligence analyst job description A typical day for BI analysts includes collecting data from sources such as industry reports, public information, field reports, or purchased findings; analyzing data to identify trends; and sharing it with the proper stakeholders.

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Boost team productivity with Amazon Q Business Insights

AWS Machine Learning - AI

Amazon Q Business offers a unique opportunity to enhance workforce efficiency by providing AI-powered assistance that can significantly reduce the time spent searching for information, generating content, and completing routine tasks. In this post, we explore Amazon Q Business Insights capabilities and its importance for organizations.

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CDH Users: If you have done impactful things with data please share how what and why

CTOvision

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads. ADVANCED ANALYTICS.

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Which Government, Non-Profit and NGO Have Big Data/CDH Lessons Learned To Share?

CTOvision

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads. ADVANCED ANALYTICS.

Big Data 105
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Business Analytics tools & use cases

Apiumhub

Today, businesses can collect data along every point of the customer journey. This information might include mobile app usage, digital clicks, interactions on social media and more, all contributing to a data fingerprint that is completely unique to its owner. In this article we will discuss business analytics tools and use cases.