Execution Making-it-Happen Enterprise Senses and Intelligence

Enterprise Senses and Intelligence

Your Execution Engine needs to have a razor-sharp sensory system and brain, which senses what- is-happening?, why-is-it-happening? and What-is expected-to-Happen?. The sensory system touches and serves every moving part of the execution engine. Sensory System of the Execution engine includes front-end data capture, setting-up hi-speed & filter-less information pipelines, consistent way to interpret the information and ability to use the information. It not only works around numbers, but also qualitative information both from internal and external world. It covers the mechanism on how to make best possible interpretation through direct or indirect or incomplete information.


Chapters In Enterprise Senses and Intelligence : -

Information and Intelligence- An Overview

This chapter sets the context of why is it so important to have a sharp 'sensory system' to support the 'muscles of execution'. It delves into the key components of the enterprise sensory system. It shares on how these components are assembled into a cohesive capacity to provide the right information at the right time and at the right place.

Components of Enterprise Intelligence

This chapter goes into the details of each component of enterprise information and intelligence. The components include Data pipelines, Data Integration, Data Transformation, Information Generation, Information Publishing & Reporting and action & decision support systems.

Imperatives of Enterprise Intelligence

This chapter shares on all what is needed to build a robust, real-time and flexible sensory system. This includes data quality assurance, consistent way to define the business, consistent information needs, mother-reports, business ownership of information, Universalization of information and filter less information.

Managing Information

This chapter share on what all is needed to manage the information within an enterprise. This is not a sequential list of activities. This includes defining information needs, bringing enterprise information in synch, ensuring consistency, rationalizing information generation, interpreting information and using information