IQR Consulting

EXL partnered with Harvard Business Analytics Services to examine the insurance industry’s current drivers for transformation, common reasons for transformation failure, and the largest digital priorities in the industry. bit.ly/2LxID9m

By empowering every person, process, and system in the organization to be more intelligent, business users who are closest to the data can prepare datasets quickly and accurately, with the help of built-in intelligence and smart algorithms. bit.ly/2Lglh7M

Learn how one EXL customer grew through cross-selling on a digital platform. Download free white paper here: bit.ly/2ZSbyJb

Predictive analytics are likely to be used more widely across pricing, underwriting, claims and mortality risk as insurers increasingly look to boost customer relations. bit.ly/31MDVu1

The major difference between business intelligence and data analytics is that analytics is geared more toward future predictions and trends, while BI helps people make decisions based on past data. bit.ly/2x5LeP5

Brands can make their marketing dollars go further by finding new opportunities within their existing customer base. bit.ly/2IW6hJo

Along with that, the earlier in the data pipeline that you can clean the data, that you can fix errors in the data, that you can validate the data, the easier and cheaper it's going to be for you to use that data later on. bit.ly/2ZyoJ1I

By applying predictive analytics to customer data, retailers can harness their user habits and customer preferences to tailor their offerings to providing a personalized experience that can promote customer retention. bit.ly/2MSKY0M

Though data is the centre of your business, it should never control it – instead, your business should keep control of your data. bit.ly/2X3JTXJ

Even if everyone is data literate, many organizations need to consider if they have the data management piece aligned. bit.ly/31cMyhe

Digital transformation is here to stay, and it is dramatically changing the way we work. bit.ly/2MvCX1J

In weighing up the potential impact of AI and data analytics on their businesses, executives should focus on enabling better decision-making. on.ft.com/2JZV8KK

Insurers who are seeking margin optimization and automation above all else will not survive in the long-run — only those who perfectly balance the human touch and the use of smart technology will. bit.ly/2VW0EEz

We live in an era where data is not only getting more valuable by the minute, but also each minute more data is being produced than the one before. bit.ly/2Jocn8o

According to Harvard Business Review, 99% of businesses surveyed reported that they intend to implement big data analytics and AI in the near future. On the flipside, only around 30% have actually succeeded in doing that. bit.ly/2WCEzY2

Fortunately, most HR departments have a wealth of people data as well as several other systems that provide germane data. This data must be fed into a platform that can convert them to meaningful metrics using underlying formulas. bit.ly/2PX5Q4G

Data-driven personas ... empower people to manage, track and build personalized content marketing and user experiences tailored to each person’s life events, pain points and unique needs. bit.ly/2Jl0EXa

To better understand the use of data analytics in software development, learning algorithms and more it’s important to consider how it’s divided into four main types of data. bit.ly/2J3d2f9