Analytics (37)

Big Data Analytics: Uncovering Hidden Insights

Big data refers to extremely large and complex datasets that traditional data processing tools cannot easily handle. However, with the right analytics techniques and technologies, meaningful insights can be uncovered from big data. The insights derived from big data analytics have the potential to improve decision-making, enhance operational efficiency, drive innovation, and deliver competitive advantages.


Big Data Analytics for Predictive Maintenance

Big data analytics has continued to be the change that many businesses need to revolutionize various aspects of their operations, including maintenance management. Thanks to the evolution of use of data, predictive maintenance strategies have become increasingly popular in recent years, with the main aim being to reduce and eliminate failures during production. With the help of the power of big data and related techniques, companies can now improve the transparency of system health conditions, boost the speed and accuracy of maintenance decision-making, and minimize costly downtime.


Concentrate on these Main Areas of Your Data Analytics

Businesses quickly discover the importance of big data analytics in their operations. They have embraced ideas behind data analytics and associated technologies and even technologies such as machine learning and artificial intelligence. With the focus now shifted to online after the effects of the coronavirus pandemic, enterprises are modernizing their analytics strategies, testing new technologies and tools and training staff, or acquiring new talent to meet the new realities. As the pandemic continues, many organizational leaders are thinking of how they should prepare their data analytics for 2021. Here are areas of data analytics that you need to concentrate on as we begin the new year.


Big Data Consolidation is Dependent on These Four Actions

Over the past few years, big data has evolved from a boardroom buzzword to a force that is now taking the world by storm. A few years ago, business leaders lacked ways to harness vast amounts of data and analyze it to get information. However, big data has become a game-changer, with administrators and business leaders now analyzing and getting knowledge about customers, business processes and daily operations. Although a point of success within a business, big data presents many challenges that must be addressed for success to be realized in big data initiatives.


Covid-19 Has Changed the Global Supply Chain

After almost a year of coronavirus pandemic, it is apparent that the pandemic has significantly strained the industry in a manner that no one has ever seen before. With the pandemic, it has emerged that the supply chain is the backbone of modern businesses. Although these challenges might have impacted the supply chain and logistics industries now, it will ultimately result in more resilience in the future. Here are some changes that the coronavirus pandemic has introduced to the global supply chain:


The Home of Former Florida Data Scientist Rebekah Jones was Raided Last Week

“It's time to speak up before another 17,000 people are dead. You know this is wrong. You don't have to be a part of this. Be a hero. Speak out before it's too late” read the text message that was sent to 1,750 state workers through the state’s emergency management system last month.


The Importance of Story Telling in Data Analytics

The most successful data analysts are able to take key data and weave it into a story to convey their point to stakeholders. This is often called a “data story” and is used by analysts who are presenting to an audience who may not understand the intricacies of data. They do this by presenting their findings visually – which is easier for most people to comprehend.  Often time this is through graphs, charts, or other visualization tools like infographics. But is a data story really that important in the world of statistics?


Can Big Data Prevent Fraud

India is exploring a way for the government to use big data to crack down on tax fraud, reports Economic Times. 

Union Finance Secretary Ajay Bhushan Pandey on Friday hinted at the use of Big Data to track major financial transactions, under-reporting of income and tax frauds in the country, even as he assured that the government would make the taxation process fearless and pain-free for honest taxpayers.


BYU Introduces an Analytics Course focusing on Sports Statistics

Brigham Young University is exploring how statistics coincide with sports in their newest data class taught by Zach Knowlton, a Senior Data Scientist at Progressive Leasing and now an Adjunct Professor at the university.


Castor receives $12M in Series A Funding to Use Data to Simplify the Clinical Research Process

Scientists from all over the globe are racing to find a vaccine for Covid-19. Among the types of scientists playing a massive role are biochemists, microbiologists, scientists specializing in infectious diseases; and now data scientists.


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