HealthLeaders' survey on workforce management queried leaders from a cross-section of U.S. healthcare organizations, including hospitals, health systems, physician organizations, and long-term care/skilled nursing facilities. The 150 respondents represent executives across all disciplines — administration, clinical, operations, finance, marketing, and information. In the next three to five years, hospitals, health systems, and other patient service providers expect to augment their time-and-attendance and payroll systems with integrated applications that enable more sophisticated data crunching around labor analytics, acuity management, and staffing assignments. The goal? To convert the workforce from overhead to asset — a flexible, agile asset that will help organizations succeed in an increasingly demanding regulatory and competitive environment.
Published By: Microsoft
Published Date: Mar 23, 2018
Die Zukunft für den Serviceaußendienst
Kevin Ashton, Technologieexperte aus Großbritannien, begründete am Massachusetts Institute of Technology (MIT) das Auto-ID Lab, in dem Pionierarbeit auf dem Gebiet der RadioFrequency Identification (RFID) und anderen Sensoren geleistet wurde.
Im Zuge seiner Tätigkeit prägte Ashton im Jahr 1999 erstmals den Begriff des „Internet of Things”, kurz IoT, um die Vernetzung alltäglicher Gegenstände und Geräte sowie deren Übermittlung von Daten und Informationen zu beschreiben. Kevin Ashton gilt deshalb heute als „Vater” des IoT-Konzepts. Ende des Jahres 2015 war Kevin Ashton als Referent auf einem europäischen Kongress zum Thema Kundenservice geladen. Seine These: Das Servicemanagement im Außendienst sei die erste Branche, die mit dem Internet of Things eine grundlegende Transformation durchlaufe.
Improved business productivity often requires more efficient IT and more efficient IT cannot be achieved without a better understanding of the way business services are run and delivered. Configuration Management Databases (CMDBs) have emerged as a central component for Information Technology Infrastructure Library (ITIL) and business service management (BSM).
A recent survey of CIOs found that over 75% want to develop an overall information strategy in the next three years, yet over 85% are not close to implementing an enterprise-wide content management strategy. Meanwhile, data runs rampant, slows systems, and impacts performance. Hard-copy documents multiply, become damaged, or simply disappear.
Published By: Asure HR
Published Date: Nov 18, 2013
Improper data management of sensitive data such as employee files, time records, and payroll information has the potential to cost corporations and institutions millions each year in auditing expenses, security concerns, tax violations and legal disputes with employees.
This paper discusses how time management software can resolve the problem, and what the next steps to implementing this technology are.
Published By: Zynapse
Published Date: Jun 16, 2010
Data Governance has emerged as the point of convergence for people, technology and process in order to manage the crucial data (information) of an enterprise. This is a vital link in the overall ongoing data management process for it maintains the quality of data and makes it available to a wide range of decision making hierarchy across an organization
Published By: Zynapse
Published Date: Sep 10, 2010
UNSPSC enables preference item management, better spend analysis, supply standardization and information control.
Whether you are deliberating on the need for a common product and classification standard for your company, or are an advanced UNSPSC adopter, we hope that "Adopting UNSPSC" will answer some of your questions and perhaps help you in some way to improve your purchasing and supply management processes.
Published By: Zynapse
Published Date: Aug 17, 2010
An exclusive success story of a Fortune 200 enterprise.
Learn how the master data management initiative delivered:
. A unified view of the master data across the enterprise
. Accelerated ROI realization from massive ERP investments
. Inventory optimization by duplicate identification
. Improved operational and process efficiencies
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
Hyperconvered infrastructure -- the meddling together of servers and storage into a single appliance with streamlined management -- is a technology growing in popularity even as people struggle to figure out exactly what it can do, what it can't do, and just how it impacts the IT organization.
In the idea economy, time-to-value is the #1 priority. But in a technology-driven world, it takes more than good ideas to be successful. Success depends on how quickly an enterprise can turn ideas into value, and that depends on how fast IT can roll out new services.
Published By: Commvault
Published Date: Jul 06, 2016
Email is the backbone of today’s corporate business processes. It lives as the primary communication vehicle internally between employees and externally with customers, vendors, partners and investors. It is arguably today’s most pervasive and critical business application within which is stored the most valuable business content. To protect this vital information while working to eliminate risk, lower management costs and improve business insight, companies require a comprehensive email archiving solution. This solution should not only work to effectively retain email information in a searchable repository, the best email archiving solutions also provide a smarter approach to collecting, retaining and accessing data so that it can deliver true business value.
Executives, managers and information workers have all come to respect the role that data management plays in the success of their organizations. But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this e-book you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.