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Decision automation systems without IT involvement are moving from the frontiers of innovative thinking to a mainstream necessity. This manifests the current “innovate or stagnate” approach in the financial services industry. This article describes potential drawbacks and shows what to keep in mind during technological changes.
The most common challenge of self-service business intelligence systems in banks is accessing insights in a matter of seconds. Over one-third of implementation efforts of commercial banks are spent on customizing technology, according to the recent Price Waterhouse Coopers’ study “Time for an Upgrade: Five Things You Need to Know to Make Your Commercial Lending Transformation a Success.” Yet, there’s still a lot of struggle with making sense of analytics. 59% of organizations using business intelligence tools say accessing relevant, timely or reliable data is their biggest impediment, according to the 2012 BI and Information Management report by InformationWeek.
Below are recommendations on preventing these hazards:
These are the three most important steps to deploy the most efficient and user friendly self-service business intelligence system. CIOs need to develop a precise understanding of information management to ensure focus on the right areas before they even start looking for software vendors.
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
Saumil Patel Content Marketing Manager at InCred Money
21 February
Katherine Chan CEO at Juice
Anoop Melethil Head of Marketing at Maveric Systems
20 February
Ivan Aleksandrov CSO | Core banking, BaaS, Fintech Advisory at Advapay
18 February
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