| | June 201619CIOReviewIntelligence (BI) tools with basic analytical capabilities and an underlying data model, simplified or scaled down for ease of understanding and straight forward data access.Forward thinking enterprises are leaning towards a predictive customer experience where they would like to understand and communicate proactively to customers before they follow-up, incur losses or are otherwise inconvenienced. This not only helps customers plan for any change in schedule/delivery/need, but it also reinforces trust and dependency on the suppliers. Improved customer satisfaction will further result in a better working relationship and on-time payment collection from customers.Life science is all about looking at life with sharp attention to sense of urgency and accuracy. Dealing with regulatory requirements, licenses, jurisdiction, storage conditions, shelf life and delivery lead times are critical to the success of life science research and development. Using conventional means to order lab supplies, such as printed catalogs, and raising purchase orders is time consuming compared to logging on to a website to browse for products and make purchases.Increasingly, life science companies are trying to optimize and adopt e-Commerce platforms to enable customers with a dynamic Search - Decide ­ Buy platform for products and services, offering detailed content including technical specification, real time stock availability, and delivery lead times to improve customer experience.With increasing competition and a race for increasing market share, organizations are under pressure to invest in the best technology, IT tools and processes that will get them closer to meeting customer expectations and providing a cutting edge experience.
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