Can we dream of an enterprise that is self aware, self organized, self prioritized and yet running on certain well defined economic and social principles? In today’s world, such an enterprise must be digitally conscious all the time!
As reported in Ontology.com about data integration challenges, 99% of the businesses undertake integration projects every year. Over half of those integration projects are obsolete before completion. Again, 86% of the integration projects experience delays. Thus 25% of the IT budgets are spend on integrations. Thus the enterprise integration projects posit a huge opportunity for a system wide transformation and conscious effort.
The key steps to resolve data integration challenges were the pilot attempts at building an enterprise transformation capability within technology. WebServices, Service Orienter Architecture, Business Process Management tools, Machine to Machine communication and so on has enriched the middleware platforms with enterprise integration capabilities. Business intelligence and analytics engines were the next step in this evolution. They have added spice to the otherwise passive data stores and data marts. When I write this post today, even implementing mainframe analytics is not a daunting task for an enterprise.
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