Analance

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Massive growth in data today: 3 must-have skills for Data Science

In recent years, there’s been an increasing demand for data scientists left and right, across industries and across departments. In the same vein, companies are getting more and more data than they know what to do with. In fact, according to IBM, 90% of the data in the world today has been created in the last two years alone. To put this influx to good use, organizations are turning to data scientists.

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Predictive Analytics: How to build machine learning models in 4 steps

Predictive analytics is a complex process that involves many steps and procedures—from collecting and preparing data to communicating findings through eye-catching dashboards. But there’s one stage that data scientists enjoy doing more than others: predictive modeling and algorithms. As an integral part of data science, modeling involves building a solution, mining the data for patterns, and refining algorithms.

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Anticipate & adapt: 4 ways Predictive Analytics benefits manufacturing

In a world filled with volatility and unpredictability, organizations must be prepared to deal with disruption. This is especially true for the manufacturing sector, where the slightest error or variation can have a ripple effect across the production line and the organization. For example, as the global pandemic closed restaurants and crowded grocery stores, supply chain management had to be reimagined.

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How the Cloud helps businesses with analytical predictions & insights

For many businesses, data has become the new currency. Organizations have come to rely on data insights to monitor the health of the business, track productivity, and identify key opportunities to optimize outcomes. However, implementing and maintaining analytics efforts can come with its own set of challenges. In order for organizations to make the most out of data, reliable data management is key. In this regard, many are turning to cloud-based analytics models for scalability.

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Businesses are embracing the Cloud for digital transformation

Making the digital shift has always been of key importance, but even more so in the last few months. As organizations across different verticals navigate a new landscape post-pandemic, it has become critical to reevaluate priorities and strategies for digital adoption. But enabling digital transformation requires a solid foundation, and cloud computing plays an integral role in this regard.

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New normal for retail: Adapting to shoppers with Predictive Analytics

Across industries, the COVID-19 pandemic has made digital transformation an urgent necessity. With global calls to stay at home, businesses have gone digital, employees are working remotely, and consumers’ shopping preferences have shifted due to worries of disease transmission and the need for social distancing. In the retail world, this means catering to shifts in buying patterns, rethinking the distribution process, and transforming the sales pipeline as it is.

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Interactive dashboard: Tracking the COVID-19 pandemic in real-time on Analance

We are proud of our Core Team for building an interactive, live COVID-19 global report on Analance. During this challenging time, Ducen presents researchers, public health authorities, and the general public a dashboard that precisely displays key pandemic statistics at a glance. It is accurate, timely, and easy-to-digest. The pandemic data set has been consolidated to report key worldwide statistics at a single glance, including the total numbers and data added in the last 24 hours.

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Ensuring data quality in healthcare: Inching closer to Analytics adoption

Advanced analytics has shaped the healthcare industry in significant ways. It has shown to impact the way healthcare is delivered and received by streamlining workflows, improving the patient experience, and lowering overall costs. Now, not only is the use of advanced analytics widespread—47% of providers are currently using the tool—but 93% of healthcare executives also consider it important to the future of their business.

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The road to Advanced Analytics in Healthcare: Overcoming budget constraints

The healthcare space has much to gain from adopting advanced analytics, a fact that’s becoming more and more apparent during the coronavirus pandemic. In an industry where evidence-based decision-making and proactive intervention can save lives, it has become critical to analyze massive sets of data to streamline clinical and administrative workflows, enhance diagnostic accuracy, improve patient outcomes, and even lower overall expenditures.

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This is a wake up call: Why healthcare should accelerate adoption to predictive analytics for proactive care sooner than planned

In hospitals around the world, ICU hospital beds and ventilators are reserved for patients—regardless of age—who are in critical condition and require mechanical support to keep their bodies functioning and to fight the onset of sepsis. This condition is a complication caused by the human body’s response to infection, and it can lead to organ failure and death, accounting for 1 in 5 deaths globally.