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Top 10 Analytics Trends for 2019

Timo Elliott

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. New experience analytics. Understanding and optimizing the customer experience is the bedrock of successful digital transformation.

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3 Reasons Call Center Software Integration Is a Must in 2019

Smart Data Collective

Call centers know that a poor customer experience is all it takes to lose a customer forever, while consistent bad service can ruin the center’s reputation. In order to stand out from competitors, call center software integration is a necessary addition to your call center’s customer service approach.

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Data-Driven KPIs Are Pillars For SME Decision Making In 2019

Smart Data Collective

With this data, your business can improve customer experience, help you refine your digital marketing strategies, conduct more efficient advertising, and even create new streams of income by selling your data to other companies. A growing number of companies in every sector are turning to big data to get better returns.

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What Is Digital Business: Overview, Concepts, and How to Build One | Simplilearn

Simplilearn

In a 2019 survey from Tech Pro Research, 70 percent of companies shared that they’re investing time and energy into digital transformation. Adopting digital business concepts can help boost productivity, improve customer experience, Read More. But why is the urge to go digital so ubiquitous?

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Big Data Partnerships Drive Growth in the Global Remittance Market

Smart Data Collective

Recent revenue reports from its website show its digital partners increased more than 38% in 2020 from 2019. The worldwide pandemic played a key role in the expansion in digital money transfer service , but the growth and business strategy was growing long before with its rates of growth beginning in late-2019.

Big Data 250
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Most Disruptive Data-Driven Software Development Trends in 2021

Smart Data Collective

Hybrid apps are on the way out, and software developers in 2021 are going to have to spend more time creating native apps that provide a more seamless customer experience. These native apps use machine learning and other data technology to give the best possible experience to every user. The Domination of Native Apps.

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Machine Learning Transforms Life Insurance Beyond the Actuarial Process

Smart Data Collective

According to a study by Capgemini (2019), 34% of respondents from insurance companies confirm the use of machine learning (AI) in operations. Huge databases and standardized processes are widely used in the insurance sector. This definitely makes the insurance industry one of the biggest consumers of machine learning technology.