The Deciding Factor: Big Data & Decision Making

When it comes to making business decisions, it is difficult to exaggerate the value of managers’ experience and intuition, especially when hard data is not at hand. Today, however, when petabytes of information are freely available, it would be foolhardy to make a decision without attempting to draw some meaningful inferences from the data. This is certainly true, but improvements in computing power and artificial intelligence systems mean that asking direct questions of big data and getting an answer, in real time, is now a reality (see WellPoint case study). Although these systems are still very costly and not widely deployed, this research suggests that the appetite for real-time decision-making is huge. And when there is a business demand, it is only a matter of time before the need if fulfilled.

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ListenLogic

ListenLogic is a leading provider of unstructured and structured data analytics and insights serving the pharmaceutical, insurance, financial services, food, communications, consumer packaged goods and technology industries. We specialize in unstructured data modeling, predictive analytics and real-time risk sensing with Fortune 100 clients across multiple vertical industries.

OTHER WHITEPAPERS
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The Inevitability of Data Science Modernization During the Machine Learning and AI Revolution

whitePaper | June 16, 2022

It seems like the business world has gone crazy for machine learning (ML) and artificial intelligence (AI), viewing the technologies as the essential keys to the very future of the enterprise. In fact, a recent survey from ESIThoughtLab found that two-thirds of business leaders see AI as critically important for their future. And yet, the respondents report that only 25% of AI projects are in widespread deployment and 40% of all projects are generating negative or no returns.

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A comprehensive guide to implementing Master Data Management with the Microsoft Intelligent Data Platform

whitePaper | December 28, 2022

For companies looking to innovate, minimize costs, and monetize new opportunities, how they drive value from their data estate is a determining factor in whether they succeed or fail. Similar to the speed, scalability, and efficiencies offered by Cloud computing, the ability for companies to do the same with their data operations – although not yet realized for most – will have a similar impact.

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4 Powerful Reasons Why Your Organization Benefits With Data Sharing

whitePaper | October 18, 2022

We talk about striving to be data driven. But in doing so, we’ve skipped an important step. Today, we must first aspire to be data-sharing organizations. That means becoming businesses where data is easily and proactively shared with every relevant person. Otherwise, there will be no driving possible. We’ll be left in the dust, lacking the gas — the data — to fuel us ahead in the digital economy. Gartner® said, “According to the Sixth Annual Gartner Chief Data Officer Survey,1 respondents who successfully increased data sharing led D&A teams that were 1.7 times more effective at showing demonstrable, verifiable value to D&A stakeholders.”

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Data Analytics Integrity Challenges to Implementation of the Automated Data Collection Processes

whitePaper | March 12, 2020

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of the everchanging Data Collection requirements, it did not have the scope to address technicalities of the RDC processes along with the specific Data Collection tools and methods. The purpose of this paper is to fill the void by looking into implementation of the automated data collection processes.

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Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data

whitePaper | June 24, 2022

The reactive approach to discovering, analyzing, and correcting data quality issues in business applications has been marginally effective throughout the era of data consolidation for analytics (data warehousing, etc.) and the subsequent onset of “big data.”

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Cisco HyperFlex HX Data Platform

whitePaper | September 23, 2022

The Cisco HyperFlex™ HX Data Platform revolutionizes data storage for hyperconverged infrastructure deployments and makes Cisco HyperFlex Systems ready for your enterprise applications—whether they run in virtualized environments such as Microsoft Windows 2016 Hyper-V or VMware vSphere, in containerized applications using Docker and Kubernetes, or in your private or public cloud. Learn about the platform’s architecture and software-defined storage approach and how you can use it to eliminate the storage silos that complicate your data center.

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Spotlight

ListenLogic

ListenLogic is a leading provider of unstructured and structured data analytics and insights serving the pharmaceutical, insurance, financial services, food, communications, consumer packaged goods and technology industries. We specialize in unstructured data modeling, predictive analytics and real-time risk sensing with Fortune 100 clients across multiple vertical industries.

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