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Data architecture strategy for data quality

IBM Big Data Hub

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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A comparative assessment of digital transformation in Italy

CIO Business Intelligence

It’s universally accepted that to thrive, enterprises must embrace transformation through technology. The challenge of digital transformation projects lies not so much in the technological implementation, but in the operational change required of people and the entire business organization,” he says.

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Demystifying Modern Data Platforms

Cloudera

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. What is a data fabric?

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

Data engineers and data scientists often work closely together but serve very different functions. Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures. Data engineer vs. data architect.

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The New Normal for FP&A: Data Analytics

Jedox

Today, though, the growing volume of data (currently measured in brontobytes = 10^ 27th power) and the advanced technologies available mean you can get much deeper insights much faster than you could in the past. In addition to using data to inform your future decisions, you can also use current data to make immediate decisions.

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What Separates Hybrid Cloud and ‘True’ Hybrid Cloud?

Cloudera

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. Data comes in many forms. What do we mean by ‘true’ hybrid?