Hewlett-Packard (HP) is unique in this EMA Radar in its ability to combine two threads – a single analytic overlay as embodied in its Service Health Analyzer (SHA) product, and a broader suite solution optimized for HP to participate in all three use cases here with maximum functional impact. This is not entirely a black-and-white situation, as SHA does leverage and currently largely depends on integration with HP Business Service Management 9.1, which is itself a suite. But SHA can assimilate other third-party sources, checks out brilliantly in early-phase deployments in terms of time-to-value and analytic power, and is the lead reason for HP’s strong Value Leader showing in technical performance management.
Progressive retailers have shifted to integrated store lifecycle (SLM) systems enabled by Integrated Workplace Management System (IWMS) to provide a seamless integration of all phases of the entire real estate lifecycle process from market planning; through site selection, store design and construction; to day-to-day operations such as lease administration and facility management.
Data integration and management can pave the way for quick
realization of M&A success and time-to-value for every transaction. Have you looked into M&A?
Big Data holds the promise of a virtually unlimited ability to gain insight – and foresight – to sharpen strategies and improve tactical execution but only if it can be harnessed and managed. Through this whitepaper, you can learn how.
Progressive retailers have shifted to integrated store lifecycle (SLM) systems enabled by Integrated Workplace Management System (IWMS) to provide a seamless integration of all phases of the entire real estate lifecycle process from market planning; through site selection, store design and construction; to day-to-day operations such as lease administration and facility management.
Self-service analytics implies that users design and develop their own reports and do their own data analysis with minimal support by IT. Most recently, due to the availability of tools, such as those from Qlik, Spotfire, and Tableau, self-service analytics has become immensely popular. Besides powerful analytical and visualization capabilities, they all support functionality for accessing and integrating data sources. With respect to this aspect of data integration four phases can be identified in the relatively short history of self-service analytics. This whitepaper describes these four phases in detail and shows how the tools Cisco Data Preparation (CDP) and Cisco Information Server (CIS) for data virtualization can strengthen and enrich the self-service data integration capabilities of tools for reporting and analytics.
The success of a merger or acquisition hinges on many things – including the ability to merge disparate IT systems into a single operating environment.
