Memes and fads roll like waves throughout enterprise IT. Some live up to expectations. Others end up disappointing many of those who invested. The “Big Data” meme was exceptional in magnitude: exceptional investments, exceptional expectations, and — for many — an exceptional disappointment.

What’s interesting to me is that — despite that massive collective investment — that thirst to better understand data hasn’t been slaked in the least. If anything, people are thirstier than

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

Sometimes I hear folks say things like, “The insurance industry is so risk-averse,” but I don’t really see it that way.  The insurance industry literally makes its living by monetizing risk, so to say it has a strong dislike for risk is like saying it doesn’t like money.

The reason that insurance has lagged behind other industries in the drive toward digital is not due to an aversion to risk, but rather it hasn’t had the catalyst it needs. Inertia is a powerful force, and the insurance industry

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