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Sisense’s Q2 Release: A Modern Data Experience Across the Analytics Continuum

Sisense

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

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Become More Data-Driven by Evolving Analytics Workloads

CIO Business Intelligence

Data-driven organizations understand that data, when analyzed, is a strategic asset. It forms the basis for making informed decisions around product innovation, dynamic pricing, market expansion, and supply chain optimization. It’s the “new oil.” The challenge: There. Intel® Technologies Move Analytics Forward.

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Powering Enterprise Revenue Growth with AI

bridgei2i

At BRIDGEi2i, we conducted a webinar with esteemed guest – Nicholas Stamp Miller – Senior Director, Global Planning Strategy, Insights & Analytics, Automation Anywhere. With AI entering the mix in functions such as sales, marketing, even supply chain, the push on driving superior experience becomes real.

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Optimizing the Energy Sector with Data Analytics

Cloudera

In that sense, access to the auction is more conservative and can lead to inefficiencies in the use of assets, as some of the energy produced may be discarded if it is not saleable in the intraday market. Lastly, we examine retail companies, the energy marketers. Towards a better customer experience.

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5 Data Governance Mistakes to Avoid

Alation

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

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How Fifth Third Bank Implements a Data Mesh with Alation and Snowflake

Alation

Every organization wants to better serve its customers, and that goal is often achieved through data. We didn’t have access to hundreds of data engineers out in the marketplace,” Lavorini points out. So instead of looking toward the job market, Lavorini’s team looked internally at their people and supply chain. “If