"Cloud platforms are rewriting the way that companies work, serving as a vital foundation for digital transformation. Companies should brace for challenges that will need to be met as they transition from in-house systems to hybrid-cloud, multi-cloud, and public-cloud environments. Learn how an open-source strategy and consistent governance will help your company use multi-clouds to compete in the digital world.
Download the Harvard Business Review Analytic Services report and find out more."
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.
Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
Keeping up with ever changing contract management work is challenging. Governing legal and procurement content is written by thousands of people and applied to hundreds of situations. To stay compliant, organizations employ knowledgeable professionals to analyze every sentence to determine the changes that need to be made to company contracts. The manual process of sifting through these dense, complicated documents is inefficient and prone to error.
Watson Compare and Comply is trained on contract specific knowledge and classifications and can streamline contract workflows through semantic understanding.
Join Director of Watson Offering Management, Adam Orentrichler, and Chief Data Scientist of SAP Ariba, David Herman, as they discuss how Watson can transform the way your company manages contract governance.
IBM Cloud Identity Service is helping businesses simplify Identity and Access Management (IAM) through a cloud-delivered service (IDaaS). IBM Cloud Identity Service combines the full spectrum of IAM, including federation, web access management, and identity governance with the speed, agility, and lower cost of the cloud. This video demonstrates how to rapidly integrate SaaS and other third-party applications using the "Quick Connect" feature within the IBM Cloud Identity Service and securely connect people and applications to the cloud.
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
Digital transformation (DX) is a must for midsize firms (those with 100 to 999 employees) to thrive in the digital economy. DX enables firms to increase competitive advantage through initiatives such as automating business processes, creating greater operational efficiencies, building deeper customer relationships, and creating new revenue streams based on technology-enabled products and services. DX is a journey, and it starts with firms embracing an IT-centric vision that guides a data-driven, analytics-first strategy. The outcome of DX initiatives depends on the ability of a firm to efficiently leverage people (talent), process, platforms, and governance to meet the firm’s business objectives.
Die digitale Transformation ist für mittelständische Unternehmen (100 bis 999 Mitarbeiter) ein absolutes Muss, um im digitalen Umfeld erfolgreich zu sein. Durch eine digitale Transformation können sich Unternehmen mehr Wettbewerbsvorteile verschaffen, indem sie Geschäftsprozesse automatisieren, operative Abläufe effizienter gestalten, Kundenbeziehungen vertiefen und neue Umsatzströme durch Produkte und Services generieren, die auf modernsten Technologien basieren. Die digitale Transformation kann durchaus als Reise gesehen werden, die damit beginnt, dass Unternehmen eine IT-basierte Vision entwickeln. Diese führt dann zu einer datenorientierten Strategie, bei der Analysen im Mittelpunkt stehen. Das Ergebnis solcher Initiativen hängt von der Fähigkeit des Unternehmens ab, Menschen, Prozesse, Plattformen und den Aspekt Governance effizient zu nutzen, um die Geschäftsziele des Unternehmens zu erreichen.
HPE Helion—Hewlett Packard Enterprise’s portfolio of cloud products and expert services built on an open architecture with support for a wide variety of environments—is designed to help you be successful in the Idea Economy. It realizes the potential of hybrid and the power of cloud with the experience, governance, and technology you need to accelerate your business.
Published By: Commvault
Published Date: Jul 06, 2016
The data growth explosion facing most organizations today is coinciding with the mounting demands of stagnant IT budgets and an increased need to retain data for both governance and resiliency needs. At its core, data must not only be retained but also efficiently accessed and analyzed to unlock its embedded value.
Published By: Commvault
Published Date: Jul 06, 2016
How do you maintain the security and confidentiality of your organization’s data in a world in which your employees, contractors and partners are now working, file sharing and collaborating on a growing number of mobile devices? Makes you long for the day when data could be kept behind firewalls and employees were, more or less, working on standardized equipment. Now, people literally work on the edge, using various devices and sending often unprotected data to the cloud.
This dramatic shift to this diversified way of working has made secure backup, recovery and sharing of data an exponentially more difficult problem to solve. The best approach is to start with a complete solution that can intelligently protect, manage and access data and information across users, heterogeneous devices and infrastructure from a single console - one that can efficiently manage your data for today's mobile environment and that applies rigorous security standards to this function.
The intent of this book is to provide a governance framework that will guide IT organizations in successfully implementing hybrid cloud solutions that drive digital transformation. Download now to learn more.
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.
For organizations to succeed with the onslaught of devices, sensors and tools that innovation garners, data must no longer be treated as a byproduct but instead as an asset. And data-driven innovation must start at the top. That's what Michael Schrage, Fellow at MIT Sloan School's Initiative on the Digital Economy, said during the Harvard Business Review webinar, Leadership and Big Data Innovation. Find out why data experimentation, governance and culture are part of the next leadership challenge for organizations.
Published By: Pentaho
Published Date: Nov 04, 2015
Amid unprecedented data growth, how are businesses optimizing their data environments to ensure data governance while creating analytic value? How do they ensure the delivery of trusted and governed data as they integrate data from a variety of sources?
If providing appropriately governed data across all your data sources is a concern, or if the delivery of consistent, accurate, and trusted analytic insights with the best blended data is important to you, then don’t miss “Delivering Governed Data For Analytics At Scale,” an August 2015 commissioned study conducted by Forrester Consulting on behalf of Pentaho.