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すべての組織にとって、従来の、そして新しい業態の競合他社に対する競争力の強化と業績の向上にはイノベーションが不可欠です。どの企業もこのことは理解していますが、


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How Better HR Data Integration Speeds the Flow of Innovation
Posted by Ed Downs on 20 April 2020 09:20 AM

For all organizations, innovation is critical for improving performance and strengthening competitive positioning against traditional and non-traditional competitors. All companies know this, but research continues to reveal that many innovation initiatives at large companies are still not scaling due to slow decision-making, conflicting departmental priorities, risk-averse cultures, and silo-based information.

For Human Resources (HR) functions, these organizational challenges create


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In the first of a three-part blog series, we will discuss how the expanding impact of legislative initiatives on both financial institutions and regulatory bodies are creating new requirements for a more integrated data strategy.

The new era of digital regulation is here. Despite a decade-long trend of expanding and increasingly complex regulatory requirements, the data integration capabilities of regulators and institutions remain surprisingly unprepared for the demands of these new


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Revision – When innovative financial services firm, Northern Trust, was planning its digital transformation strategy, it discovered that the right technology was only part of the puzzle.

The 130-year-old organization needed a holistic, secure technology platform that could make sense of its diverse data sets and the complex relationships between them. It required search and semantic capabilities that made data easier to uncover, link and understand.

But to be successful, it also needed a


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Northern Trust: Bridging the Chasm for Innovation Adoption with MarkLogic
Posted by Ed Downs on 04 September 2019 08:00 AM

When innovative financial services firm, Northern Trust, was planning its digital transformation strategy, it discovered that the right technology was only part of the puzzle.

The 130-year-old organization needed a holistic, secure technology platform that could make sense of its diverse data sets and the complex relationships between them. It required search and semantic capabilities that made data easier to uncover, link and understand.

But to be successful, it also needed a plan and


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