Major industry dynamics such as digital disruption are causing chaos and upheaval even in mature industries. To help navigate the changes that result, companies are placing an ever greater premium on data-driven insights. Put simply, the management and effective utilization of data have become essential for competitive survival — but the growing volume and diversity of data leave companies scrambling to effectively and efficiently manage, govern, and utilize it. Companies face four main data management challenges at the moment:
Highly skilled and experienced resources are expensive and difficult to find.
New technologies, such as SAP HANA or Hadoop, are challenging existing capabilities.
New sources of data are rendering existing information infrastructures inadequate.
Companies still lack maturity in managing and analyzing their data. For example, few companies have a fully-fledged information management strategy (just 13%, according to Forrester’s Q2 2013 Global Information Strategy And Architecture Online Survey).
For decades, firms have deployed applications and BI on independent databases and warehouses, supporting custom data models, scalability, and performance while speeding delivery. It’s become a nightmare to try to integrate the proliferation of data across these sources in order to deliver the unified view of business data required to support new business applications, analytics, and real-time insights. The explosion of new sources, driven by the triple-threat trends of mobile, social, and the cloud, amplified by partner data, market feeds, and machine-generated data, further aggravates the problem. Poorly integrated business data often leads to poor business decisions, reduces customer satisfaction and competitive advantage, and slows product innovation — ultimately limiting revenue.
Forrester’s latest research reveals how leading firms are coping with this explosion using data virtualization, leading us to release a major new version of our reference architecture, Information Fabric 3.0. Since Forrester invented the category of data virtualization eight years ago with the first version of information fabric, these solutions have continued to evolve. In this update, we reflect new business requirements and new technology options including big data, cloud, mobile, distributed in-memory caching, and dynamic services. Use information fabric 3.0 to inform and guide your data virtualization and integration strategy, especially where you require real-time data sharing, complex business transactions, more self-service access to data, integration of all types of data, and increased support for analytics and predictive analytics.
Information fabric 3.0 reflects significant innovation in data virtualization solutions, including: