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Eiel joins Equifax from Wells Fargo Card, Retail and Merchant Services, where he served as Head of Strategy and Analytics. Recently, he successfully drove innovation analytics and acquisition and strategies for the General Purpose and Co-Brand Credit Card portfolios, Customer Experiences, as well as New Product Development.
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Sean McVay explains his approach to analytics - ProFootballTalk
Near the end of their unexpected and ( in the words of their head coach ) embarrassing loss to the Jets, the Rams had a chance to play for overtime. Down 23-20, the Rams faced fourth and four from the New York 37 with four minutes to play.
The choice were simple: Try to tie the game up with a 55-yard field goal, or attempt to extend the drive by gaining four or more yards.
On Thursday, McVay was asked whether he considered the analytics-based conclusion that he increased the team’s chances of winning by two percent by going for it in that spot.
Use predictive analytics in manufacturing to gain insight
For centuries, manufacturers have been attempting to make the manufacturing process more predictable. Analytics is finally helping to make that possible.
Predictive analytics in manufacturing as well as the other capabilities of a predictive manufacturing system give companies insight in processes that leaders can act on.
To some extent, this is teaching an old dog new tricks. After all, organizations have been collecting data for years, spotting potential problems and engaging in predictive maintenance. But the volume of data companies are collecting, especially through IoT, has grown exponentially. So has the sophistication of the analysis.
ChrysCapital-backed Infogain Acquires AI & Analytics Pioneer Absolutdata | Business Wire
Absolutdata has been a leader in utilizing AI and Advanced Analytics to create scalable business impact for enterprise clients across the globe. Using a combination of its proprietary NAVIK AI platform and AI & Advanced Analytics services, Absolutdata enables its clients to grow faster, increase profitable revenue and develop deeper relationships with their customers. Absolutdata has been widely recognized for its innovation and cutting-edge AI solutions.
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Predictive Analytics, Modeling & Consumer Scoring in 2020 - Business Insider
Advances in artificial intelligence (AI) and predictive analytics are using consumer scores to automate business decisions to predict things like risk and fraud. But concerns over fairness mean companies need to make scores transparent to consumers.
Consumer scoring summarizes relevant information about consumers based on past behaviors. It's influenced by the data collected from the web, mobile, and IoT devices that detail demographics, geographics information, and transaction history. Consumer scoring leverages complex data analytics to evaluate and apply metrics to consumers for automated business decisions.
Predictive analytics: 3 best practices for implementation of this helpful technology -
No matter your field, predictive analytics is likely to help you make more money, improve processes, and more. Don't be afraid to try it.
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Predictive analytics (PA) can save companies money, assist them in identifying upwardly trending buying curves so they can be first in getting products and promotions to market, and anticipate equipment failures on production lines before they happen. PA can also identify potential disruptions to supply chains, predict climate threats, and identify the employees who are most at risk of leaving the company for other opportunities.
4 business intelligence and analytics tools to position your company as a leader in 2021 -
Business intelligence and analytics tools can help companies recover from the COVID-19 pandemic and position themselves as leaders in the new year
COVID-19 has had an impact on customers, the workforce, operations, finances, and technology. Today and into the foreseeable future, companies will need to outmaneuver uncertainty by changing their course as circumstances change—sometimes multiple times.
Sisense simplifies complex data and analysis to deliver insights to everyone across an entire organization and empowers developers to build machine language enhanced analytics into products. It's an end-to-end BI platform that gives data engineers, developers, and analysts the power to build analytic apps to deliver highly interactive user experiences. Data within any department can be connected and analyzed which removes information technology (IT) Bottlenecks.
Analytics in real estate thrive in the commercial market
The idea of using analytics in real estate has been slow to take off, despite the fact that the multitrillion-dollar commercial market presents numerous opportunities. But emerging use cases show that some in the industry are trying to change this.
Commercial real estate is an expansive industry that can be affected by many factors, including economic downturn, environmental impact, technological advancement and even social trends. And while most people associate commercial real estate with warehouses and retail options, the industry also encompasses office spaces and apartment complexes.
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