datascience

Shocking Data Science Gaps in Industry-Leading Organizations

datascience, impact

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

datascience, impact

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

datascience, impact

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

big-data, datascience

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

big-data, dataplatform-management, datascience

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

big-data, dataplatform-management, datascience

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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Three Emerging Data Science Trends You Need To Know

datascience, website-analytics

Data science has become a necessity for companies looking for innovative and efficient ways of solving complex business problems. As the world becomes more data-centric, trends in data science technologies and practices continue to emerge and evolve. Continual education on cutting edge data science applications can help optimize an organization’s operations, internal processes, and bottom

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Improving Data Quality: Anomaly Detection Made Simple

big-data, dad, dataplatform-management, datascience

From business managers, to data scientists, to UX developers — anyone who works with data knows anomalies can be a chore to find and an even bigger chore to resolve. Incorrect or faulty data can cause a business to miss revenue opportunities or potentially make poor business decisions based on erroneous analysis. For organizations whose

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Comparing Website Analytics Tools: Google Analytics, Adobe & Piwik PRO

datascience, web-hosting, website-analytics

Just about every organization has a website to promote their products, services, and capabilities. Like any other digital interaction, visits to a website generate data which can be analyzed to better understand how visitors are brought to the site and what they do while there. Organizations often try to capture and operationalize this data to

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