Enterprises are investing heavily in data analytics, business intelligence (BI), and cognitive capabilities. According to IDG's State of the CIO 2020 report, 37 percent of IT leaders say that data/business analytics will drive the most IT investment at their organization this year.
The landscape is in flux as web scale businesses continue to displace old-guard business analytics vendors and those vendors in turn seek to modernize and innovate to maintain their footing.
While you're here, how about this:
Understanding the COVID-19 Pandemic as a Big Data Analytics Issue
April 02, 2020 - The rapid, global spread of COVID-19 has brought advanced big data analytics tools front and center, with entities from all sectors of the healthcare industry seeking to monitor and reduce the impact of this virus.
For more coronavirus updates, visit our resource page , updated twice daily by Xtelligent Healthcare Media.
At the core of these efforts is something with which the healthcare industry is very familiar: Data.
Importance of analytics clear amid COVID-19 crisis
Sisense, founded in 2004 and based in New York City, is one of the analytics software vendors whose tools are being used by organizations on the front lines of the fight against COVID-19 and businesses trying to navigate perhaps the most challenging economy since the Great Depression.
In Part I of a two-part Q&A, Orad spoke about the role of augmented intelligence and machine learning in getting at the true spread of the novel coronavirus. Here in Part II, he discusses how healthcare organizations and businesses alike are using analytics to inform their decisions during the COVID-19 crisis.
KAR Properties Leans on Data Analytics, Tends Hindrances to Mortgage Service | GlobeSt
Quite a lot has been going on:
CEO Perspective: Future Trends in BI and Analytics | Transforming Data with Intelligence
What technologies will help your enterprise become more data driven? Jérôme Lecat, the CEO at Scality, offers insights and updates on where analytics and data management are headed this year and beyond.
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Upside: What technology or methodology must be part of an enterprise's data or analytics strategy if it wants to be competitive today? Why?
Jérôme Lecat: The business world is transforming and is becoming even more data-driven. It is not new -- the shift started with modern accounting over a hundred years ago but it is accelerating fast. Practically, data and data methodologies have become part of the assets of every enterprise. Those who invest time, money, and effort to become truly data-driven will have a competitive advantage. It is not so much a question of technology.
Big data and analytics underscores energy's future | Sustainability | Energy Digital
Orbis Research has compiled a new report on the effect that big data and analytics is having in the energy sector and where it may lead.
The study, called 'Global Big Data Analytics in the Energy Sector Market', offers a comprehensive analysis of the industry, from regional markets to the technologies being explored and their broader appeal for widespread adoption.
Defined as the large volumes of accumulated information gathered from myriad sources within an organisation, big data's value, particularly when unlocked by analytics software, has become a primary focus for companies seeking an easy way to optimise.
Infragistics Adds Predictive Analytics, Machine Learning and More to Reveal Embedded Business
Updates allow users to see predictions based on historical trends and access big data sources including Azure SQL, Azure Synapse, Google Big Query, and Salesforce
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"Our new enhancements touch on the hottest topics and market trends, helping business users take actions based on predictive data," says Casey McGuigan, Reveal Product Manager. "And because Reveal is easy to use, everyday users get very sophisticated capabilities in a powerfully simple platform."
Why Predictive Analytics is the 'Next-big' Thing in Healthcare | Quantzig
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20200402005697/en/
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2. The role of predictive analysis and modeling in providing standardizing datasets to researchers working on curbing the impact of outbreaks like coronavirus
The ongoing advancements in healthcare technologies have led to a sudden surge in the volume and complexity of healthcare data sets. Factors such as these are prompting healthcare organizations to leverage data analytics to improve their efficiency. Predictive analysis and modeling can be very beneficial during this crisis period when the whole world is looking for a predictive model on the outbreak of coronavirus.
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