data and analyticsAs we focus on business applications, let’s broaden our scope to review how data and analytics strategies are being implemented.

Insurance is a conservative industry. It has certainly lagged other sectors, in terms of digitization and customer experience. But, insurance businesses have enthusiastically embraced data and analytics capabilities.

As I talk to my insurance clients, most are actively engaged in building/improving this capability.

Talking about this with our old friend Paul Carroll, at Insurance Thought Leadership blog, he pointed me in the direction of Karen Pauli. Karen is a principal at Strategy Meets Action (SMA) advisory firm. In this post she challenges the tendency in insurers to stay in their comfort zone. So, I’m pleased to welcome Karen as our latest guest blogger.

Will insurers (and their customers) really experience the benefits data and analytics could bring if it continues to be used to just enhance traditional investment areas? How could insurers be more innovative and actually drive meaningful transformation.

Over to Karen for an interesting perspective and link to a benchmarking report that you might find useful.

The importance of data and analytics is no longer a debate

Data and analytics is a phrase that is probably in 75% of articles and blogs written today on the industry. In fact, data and analytics is used so frequently that it almost appears to be one word – dataandanalytics. SMA research shows that 92% of insurers have data and analytics initiatives under way in 2017. It is the number two initiative, only three percentage points behind customer experience, to which it is closely aligned!

The importance of data and analytics to the enterprise is no longer debated. However, there is danger in this. A level of complacency has crept into how insurers are addressing data and analytics requirements. SMA survey results show that, on average, 65% of insurers are investing in reporting and dashboards and scorecards, spanning both personal lines and commercial lines of business. Clearly, it is important to do this because managing day-to-day operations is critical. However, and this is the salient point, investing in these areas is historical – it’s where the money has been going for quite some time.

But the money is going to the usual suspects, not innovation

The flip side of this picture is that 80% of survey responders indicate they have no plans for investing in cognitive computing, and 37% have no plans for investing in data and text mining. Use cases follow the same pattern. In terms of the customer and distribution, insurers have been investing in new business analysis and agent performance for years. Yet, 53% of survey responders say they have no plans for using data and analytics for single view of the customer. Numerous other examples abound, as detailed in our research findings.

The insurance industry is definitely focused on investing in data and analytics, but the research shows that the investment is in the same areas, for the same purposes. Insurers continue to get good at what they are already good at. And it is hard not to do this … the positive results are compounding! But one huge factor is making this direction untenable – the pace of change. Technology, particularly technology coming from insurtech organizations, is exponentially advancing. Customer expectations and the rapidly evolving nature of risk are figuratively (and somewhat literally) running right along next to these emerging technologies, eager for the value being delivered.

When it comes to emerging data sources such as the IoT, wearables and drones, there are a handful of insurers that are embracing the data and developing capabilities. Yet, as many as 82% of insurers have no plans to leverage these data sources. Those insurers advancing with new data sources are rapidly creating a gap that insurers with no plans will find difficult to bridge. This is another example of where the pace of change will have a big influence.

Times they are a changing and a benchmarking report

A great percentage of insurers are poised to change direction and move from the data-and-analytics-investment “comfortable zone” and over into innovation. Significant work has been done from an organization and role perspective in terms of data and analytics teams, particularly at an enterprise level. But the measured steps of the past need to be replaced by a faster pace and focused on new targets that emulate the world that we live in.

SMA’s recently released report, Data and Analytics in Insurance: P&C View Through 2020, provides a deep dive into the state of data and analytics today, as well as plans for the future. The report also features an updated version of SMA’s proprietary Data and Analytics Spectrum, which provides a framework for insurers to benchmark their initiatives. It also details the various components of a robust data and analytics strategy. Or is it a dataandanalytics strategy?

Hope are you using data and analytics?

Was that summary and challenge from Karen useful? How do you measure up?

It would be interesting to hear, whether you recognise you are still in your comfort zone or can give us examples of innovative applications.

Feel free to comment below or through social media, it would be great to share more on real world applications of data and analytics.

Thanks Karen.