datascience

Where Does Your Company Stand Against The Competition? 7 Levels of Decision Making Reliability

The goal of predictive analytics is to combine past and current data to obtain actionable insights. Data-driven decision making has been proven time and time again as the best way ahead for any business, regardless of the sector. We wanted to know how ready the nation’s largest Financial, Healthcare, and Retail organizations are for an

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Most Industry-Leading Organizations Struggle with Deploying Their Data Science Capabilities

During our recent industry survey of 50 of the nation’s best funded institutions, we discovered that even industry-leading organizations aren’t maximizing their data science capabilities when it comes to evaluating the impact of business decisions to the bottom line. Among top retail, banking, and healthcare organizations, we uncovered that: In addition to Fulcrum Analytics providing

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Shocking Data Science Gaps in Industry-Leading Organizations

In today’s business environment, companies are increasingly using advanced analytics to drive actions that are backed by data. The changes in outcomes attributable to such actions are measured to calculate ROI and guide subsequent decisions. As such, almost every data science team within large healthcare, retail, and financial service organizations provides its team with business

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Assemble the System You Need for Cross-Team Automation, Model Selection, and Reporting Sophistication

When it comes to evaluating the impact of business decisions to the bottom line, there are a few common steps every analysis requires: Often, this series of steps is easier said than done. Some organizations may be set up to get through one or more of these steps with ease but have challenges with other

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How to Improve Repeatability and Consistency Among Business Intervention Analyses

When the time comes to measure the impact of innovative business interventions, timely results are critical to ensure effective business decision making. Depending on whether there is a reusable process in place, this type of analysis can prove to be very customized, complex and time consuming. Fulcrum Analytics, trusted by leading financial services, retail, and healthcare companies

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Don’t Throw Away The Distribution: The Importance of Probability Distributions

As data science becomes a key factor in the decision making process of society, along with that comes the democratization of data analysis allowing anyone, not just statisticians, to draw conclusions from data. There is an undeniable ease to summary statistics that makes them appealing, but here at Fulcrum, we often encounter clients throwing away

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Fulcrum Analytics, Inc. Recognized as Best Big Data Analytics Platform by the 2020 Tech Ascension Awards

Fulcrum Analytics announced their Agile Analytics Lab has been recognized as the Best Big Data Analytics Platform by the 2020 Tech Ascension Awards. Fulcrum’s Agile Analytics Lab is a cloud-based, big data analytics platform supplemented with professional services that allows clients to experiment with software, data sources, and technology not available within their own organization. The

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How GPU computing Can Boost Data Science Capabilities

GPU technology is an innovative option that can improve the speed of certain types of processes, namely those that can be performed using parallel processing which require computer systems to “think” and “learn” while processing data as quickly and efficiently as possible. For example, GPUs are used in everyday technology that requires real-time human language

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