Download this infographic for insight into the five stages of the content lifecycle, tips to improve efficiency, and preparations for tomorrow.
The amount of personal data stored by companies and governments has ballooned, and the value of that data has multiplied as more and more personal business is transacted on the internet. Identity theft has become far more prevalent. In addition to the disruption to businesses and the impact on customer loyalty that data breaches create, many jurisdictions are looking to bring their data protection legislation in line with the new, internet-based world – although unfortunately, not into alignment with each other.
In the late 1990s, Enterprise Content Management became a mainstream technology (at least for large organizations) by first focusing on early adopters eager to automate high-value, mission-critical, and document-intensive processes critical to gaining competitive advantage. Organizations (and the suppliers who supported them) next applied ECM platforms to solving core back-office automation challenges – like accounts payable, invoice processing, contracts management, and HR administration. Over time, we began to think that ultimately, there would be a convergence in an organization around a single ECM platform.
The way we have traditionally addressed business content challenges is by focusing on improving enterprise search – solving the "needle in the haystack" problem, and often solving it by brute force. But if digital transformation projects are to succeed, we must do two things: 1) rethink and automate how we solve the "finding" problem; and 2) move from "finding" to "using" information to create new sources of customer value. Join leading information management executive John Mancini for a lively discussion on how to find value – and opportunity – in the information and data in your business.