What Are Advanced Analytics?

on Apr 26, 2019 2:14:32 PM | By Kevin Claybon | Advanced Analytics Analytics
What type of flowers should you get for your mother on her birthday? Let’s say she’s 60 years old and comes from Maine. She might love an arrangement that featured Lupines and Yellow Violets. Those are native to Maine. In addition to pleasing your mother, you’ve also just demonstrated the principles of advanced analytics. You instantly processed numerous variables about your mother’s preferences and came up with the perfect floral choices. But, what if your job was to recommend birthday flowers for 50,000,000 American women? That’s where things get interesting, and a bit challenging.
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What does a successful modern data architecture look like?

The promise of advanced analytics capabilities is incredibly tantalizing, but actually reaching that level of sophistication can be an uphill battle. So much focus goes into acquiring analytics tools and data science expertise that it's easy for organizations to overlook a critical component in the equation: the actual architectural foundation.
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What is business-based data governance (and why do you need it)?

Data governance is a constant struggle for many companies, as business needs, security requirements and compliance demands all grow more complex year after year. It can be enough to overwhelm even the most seasoned IT department leaders. If data governance responsibilities are going unchecked, it may be time to consider a new approach to these efforts. A strategy driven by business requirements could be the best way forward to get these processes back on track.
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4 data governance best practices you need to follow

In the rush to get exciting, advanced analytics projects off the ground, don't overlook the importance of data governance. Data governance practices can sink any analytics initiative before it really has a chance to take shape.
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Top 3 data governance failures (and how to avoid them)

Data analytics is a powerful tool for any organization, but if you don't cover all of your bases--including data governance--you will run into significant problems.
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What we can learn from Capital One anti-money laundering probe

Of all the pressing concerns facing the financial services industry today, fraud prevention may be the most difficult to get right. As technology gets more advanced, fraudsters become more sophisticated, taking advantage of new weaknesses and scamming financial firms and their customers for massive sums of money. On average, organizations lose five percent of their annual revenue due to fraud each year, according to the Association of Certified Fraud Examiners.
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Take fraud prevention to the next level with advanced analytics

Fraud continues to be a thorn in the sides of banks, financial firms and insurance companies everywhere. As technology becomes more advanced, fraudsters grow more sophisticated right along with it.
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Domestic Sourcing: Why Clarity is 100% Onshore

Outsourcing’s American counterpart--domestic sourcing--is in the news. After years of hiring offshore workers to augment staff and cut labor costs, businesses are recognizing onshore talent is worth the investment.
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Are Your Big data projects failing? Understanding Why (and what to change next time)

Working with a qualified analytics consultant can put your big data project on the path to success. Big data has shown tremendous promise, yet it's common to hear about big data projects failing. The opportunity to drive operational improvement in every industry has companies in healthcare, financial services and manufacturing, among many other fields, ramping up investments in data analytics to enhance everything from customer experience to risk management. There are endless big data analytics use cases demonstrating how valuable this technology can be, but not all initiatives have happy endings. 
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