Commercial launch is a critical and complex period in the Life Sciences product life cycle. The transition from clinical development to commercial operations can seem overwhelming as companies face considerable challenges in transforming from an R&D-driven organization to one focused on achieving in-market business and commercial excellence. Core to successful launches is preparing the company for a whole new raft of capabilities, processes, and relationships, and in doing so there are a number of factors included in this checklist that companies should consider and questions they should answer.
Welcome to the era of the digital enterprise, where digital is
your journey and cognitive is your destination. As business
leaders, you are under growing pressure to use information
to its fullest potential, delivering new customer experiences
as fuel for business growth. The digital economy is changing
the way we gather information, gain insights, reinvent our
businesses and innovate both quickly and iteratively
A hybrid cloud environment, combining traditional IT systems
and public cloud, enables you to extend business processes
beyond the walls of your organization. For example, many
organizations use public cloud as a collaborative development
environment to create innovative applications that can then be
ported to an on-premises or hybrid production environment.
Published By: StreamSets
Published Date: Dec 05, 2018
Enterprise analytics is quickly evolving into a democratized capability where anyone can access and act on all available information, often in real-time employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration.
This paper proposes that DataOps, the application of DevOps practices to data analytics, is the best way to overcome these challenges to create an iterative build-operate process for data movement.
Read this white paper to:
Understand how modern data analytics create data integration challenges due to architectural complexity, operational blindness and data drift.
Learn how DevOps pillars of automation and monitoring can create higher developer productivity, operational efficiency and business confidence in data.
See specific examples of DataOps functionality being applied to data integration across modern architectures.
Published By: Pentaho
Published Date: Apr 28, 2016
Today, the need for self-service data discovery is making data governance a charged topic. As business-driven data discovery emerges as a fundamental need, the ability to ensure that data and analytics are trustworthy and protected becomes both more difficult and more imperative. This research explains how to manage the barriers and risks of self-service and enable agile data discovery across the organization by extending existing data governance framework concepts to the data-driven and discovery-oriented business.
- The implications of the "freedom vs. control" paradox
- How to design for iterative, "frictionless" discovery
- Critical checkpoints in data discovery process where governance should be in place
In B2B e-commerce the mechanics are complex, requiring frequent iterative adjustments as technical specifications, end-user goals, and multiple stakeholders participate in the process. B2B e-commerce does not advance in a straight line, but as a web of inter-connected decision points.
Agile methods are increasingly popular in application, enterprise and embedded development. Yet the question remains: Do the 12 agile principles apply to more than just software? Find out how leading companies are beginning to exploit agile's iterative processes for far more than software.
This white paper describes software as the invisible thread that links product parts into an intelligent whole. It examines software delivery for smart products and strategies for evolving software development into a business process. Agile development has become a cornerstone of most software development organizations. Marked by iterative processes that deliver incremental value over time, agile development has enabled organizations to manage software complexity more effectively and to improve quality and time to market compared with previous development processes.