Fri.Jun 18, 2021

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How RPA and Machine Learning Address Business Use Cases

Automation Anywhere

By integrating machine learning (ML) and artificial intelligence (AI) into Robotic Process Automation (RPA) you can perform intelligent automation of repetitive tasks and operations with layers of human perception, judgment, and prediction. What is machine learning? Machine learning is an AI technology that allows systems to learn and improve from prior experience without being explicitly manipulated or programmed.

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Business Intelligence: What does it mean? And why do you need it?

WebCreek

Businesses are always looking to implement best practices, which give them a leg up over competition. While there are certainly many different ways to pursue these goals, the expanding world of business intelligence technology offers the most effective solutions for today’s highly-modernized marketplace. Are you confused as to what business intelligence is, and what it can offer?

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4 Ways to Show Appreciation to Outsourced Workers

Outsource Workers

Many companies make the mistake of treating their outsourced workers as an afterthought–tools that are useful for the time being but which are not really part of the core organization. With so many companies increasing their outsourcing, this is a flawed attitude to take. Good business means carefully tending to all of your relationships, in-house or outsourced.

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The Most Successful Startups You Could Learn From

TMS

Success cannot be measured in diplomas. Universities can educate and train, but successful startups come from many sources. More importantly, the people behind them come from every sort of background. How successful a business will be is not easy to predict. Only 30 percent of seeded startups manage to obtain further funding. It is therefore critical to understand what makes a startup succeed.

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How to Stay Competitive in the Evolving State of Martech

Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researching innovations to expand and refine their technology stacks. To help practitioners keep up with the rapidly evolving martech landscape, this special report will discuss: How practitioners are integrating technologies and systems to encourage information-sharing between departments and pr

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5 Incredible Omnichannel Customer Service Strategies to Win Customers

Mattsen Kumar

All organizations building omnichannel customer service expertise have recognized that different customers will use other channels to browse, engage and seek support. This acknowledgment allows businesses to expand to numerous media, including Call, Chat, Email & SMS, and then integrate them into a central repository. Through this repository, companies can identify queries raised by customers instantly irrespective of the channel it was introduced through.

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Tips on How to Avoid Fraud in Loan Processing Call Center

Magellan Solutions

How outsourcing a loan processing call center prevents high risk of fraudulent transactions? Fraudulent transactions have been the main problem for any financial institution in the US. That’s why many businesses hope that outsourcing a loan processing call center can alleviate this situation. In fact, the fraud call rate is one in every 1,400 calls in retail banks.

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US Opting For Patient Care Services Telemarketing

Magellan Solutions

US opting for healthcare call center outsourcing companies . Health insurance companies make up a massive segment of the U.S. economy. It is a $1.1 trillion dollar enterprise currently. The steady growth has been recorded at 2.9 percent each year on average from 2015 to 2020. . The US currently houses more than 900 health insurance companies. However, the health insurance industry is dominated by: Anthem.

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What is Considered Bad Data For B2B Telemarketing Campaign

Magellan Solutions

Every Bad Data You Can Find in Every B2B Telemarketing Campaign. Bad data in, bad data out. For B2B telemarketing campaigns, bad data means a lot of bad news for companies. Working on bad and inaccurate data results on the following: 27.3% or 546 hours/year wasted time of sales reps. 12% of company revenue loss. 21% of wasted marketing budgets. Smaller companies lose 6% of annual revenue. 21% companies suffers from reputational damage.