This blog is the first of a four-part series that explores the importance of FAIR (Findable, Accessible, Interoperable, Reusable) principles to pharmaceutical companies looking for a data platform to tackle their most critical business problems.

Like many industries, pharmaceutical companies have seen the amount of data collected multiply over recent years. Navigating through an ever-growing array of data silos is becoming an increasing burden to data scientists involved in the research

Reduce costs. Catch fraudsters. Improve the customer journey. Collect more data. Boost cross-selling. The list goes on, and claims managers must often find themselves wondering how to meet the challenges that their boards hand to them.

Customer expectations are being re-shaped in the digital era, and ease of engagement is becoming the new norm. The standards are being set by the likes of Amazon, Netflix, fast-food delivery services and, increasingly, by InsurTech disruptors nibbling away

If you’re part of a business that’s involved in performing reconciliation or offering reconciliation services, you certainly understand the importance of automation on productivity, efficiency and client servicing. In part one of this series, we examined the challenges associated with implementing automation and the value of improved data-reconciliation processes. In this post, we look at the role of data integrity as a foundation for optimizing the reconciliation lifecycle and how

At a recent roundtable event hosted in partnership with Insurance Post, we met with a number of c-suite insurance executives to discuss the pressures that increasing regulatory requirements are placing on the industry and how best to overcome the numerous challenges these create. This conversation is one being replicated across the industry as insurers face pressure to comply with new regulations at every turn.

Most recently, the industry faced the challenge of meeting the EU’s General

This is the first in a two-part blog series that focuses on automating and improving data reconciliation. In part one, we will examine the challenges associated with increased automation, the value of improved data reconciliation processes and look to the future of this critical function. In part two, we will cover the role of data integrity as a foundation for improving the performance of the reconciliation lifecycle and how MarkLogic customers are using a data hub to improve