The Execution Excellence Domain covers the subjects related to building high-performing organization. Business Intelligence (generating actionable information), is one of many factors to make an organization deliver results from 360 degree perspectives.

Execution has been considered as the weakest link in the success of an organization. However, it has still not evolved as a formal measurable discipline. Unlike other disciplines (like Quality, Business Process Management, Project Management), 'Execution' is highly conspicuous by its absence in the education, training, certification, assessments, maturity models, tools-techniques and other channels which are typical of any formal discipline. This section sets the context by explaining on 'What is Execution?', 'How it is different from other disciplines?', 'What are the components of Execution-Making it Happen?'.

This Section introduces a new concept of 'Execution Blueprint'. Just like 'strategy blueprint' lays down the details of strategy, Execution-Blueprint encompasses the thinking on how the strategy would be executed, and what will be done to change the strategy, if the business assumptions are not bearing out. This Execution-Blueprint has multiple sections including Assumptions Management, Capability Management, Resilience Management, Tracking & Reporting etc...

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.

A performance without capabilities, can at best be described as 'steroidal'. Capabilities provide sustainability, predictability and sustainability to the performance. This section introduces a framework on mapping, prioritizing, planning and tracking the capabilities vis-a-vis -vis the execution agenda. It introduces a new concept of 'Capability Scorecard', which helps organization to go beyond performance, and to manage the ability to perform.

With world getting more insecure and uncertain by the day, an organization has to make itself both Flexible-&-Resilient to respond-to Changes-&-Shocks to its business assumptions. An Execution-Ready business will structure its organization, processes, contracts, investments, and all what matters to be ready for surviving and thriving on the change

Its a universal truth that focus is must for a sustained success. This section looks at focus in more than 6 different dimensions and how the multiple threads of focus need to be tied together to form a strong connect across the enterprise. We are introducing a new concept of 'money-making machine', which helps an organization to map the components, which are core to the way it makes money. This money-machine mapping is coupled with the strategy blueprint to define the Focus & Alignment Needs of an organization

Value constitutes two aspects- 'Least Dollar for a Value' and 'Maximum Value out of a Dollar'. An organization has to not only see that it invests prudently, but also on how it should get the maximum out of 'what it has'. The Value Management has host of different dimensions including Synergies, product-value maximization, customer-value maximization, infrastructure-value maximization etc...

Human resources are to be seen as capital, which if invested and managed well, can given tremendous returns. This section looks at how we apply various dimensions of Execution on People Constituency. We look at individual performance management, goal-setting, development & career planning etc...and how to put these moving parts into the right places in the Execution Engine.

In today era of uncertainty and insecurity, its the entrepreneurial mind-set which will propel organizations to achieve results. Organizations have to operate like an entrepreneur, who keeps strategy & execution hand-in-hand, spends like its his own money, ready to listen and extremely agile.

This section introduces the concept of 'Execution Scorecard', which goes much beyond 'performance scorecard'. It works on providing all what an enterprise needs to know and to respond to 'what is happening?' and 'what is expected to happen?'. It dwells into various sections of Execution Scorecard- Performance Scorecard, Capability Scorecard, Assumption Tracking, Environment scorecard, customer scorecard etc...

The section introduces the concept of 'Execution Intensity'. Execution Intensity is the depth, width, frequency and speed, an enterprise can apply in managing the business. An enterprise can upgrade its result by simply intensifying its Execution Rigor
The Intelligence Enterprise Domain is core knowledge-base on all subjects linked to Business Intelligence, Data Management and related subjects.It will be providing a generic & practical knowledge irrespective of an industry or a function. When you want to see on how do we apply this knowledge to specific functions, you would be referring to Functional Domain.

Take this as the Introduction/Big picture part of the BI Encyclopedia, before you get onto individual sections. BI end-to-end view covers all BI related subjects which pertain to overall BI Architecture, Management, Organization and BI evolution.

Any dashboard, scorecard or a report will be reduced to a NIL value, if the audience don't trust the data contained therein. In today's world, data is going exponentially complex and the maze of system & interfaces is reaching "beyond visual range". With supply chain management, CRM and other practices, the enterprise boundaries of data are blurring. The regulatory & disclosure pressures are mounting. Its time that organizations re-in-force their focus on Data Quality. Data quality has different connotations and follow the conventional principles of prevention, monitoring and remedy. Data Quality does not seek perfection, but business-case driven sponsorship.

This is one of the larger sections in this knowledge-base. It covers on how you extract the information from various sources , put it all together, link it, clean it, transform it and then load it in a place and form so that one can fulfill all the Data & Information requirements of an organization. Data Warehousing can also be named as "offline Integration" of data. This section talks about a full-fledge Data Warehouse Initiative. However can start small, while keeping in mind the long term road-map.

Data Analysis/OLAP is most fundamental way to make sense out of your data. It involves looking at the data from all possible angles, slicing & dicing on various dimensions, drilling up/down, applying filters, exception highlighting, graphs and other presentation tools, doing time trending analysis. Whether you are doing a pivot on excel or creating advanced views in a up-market OLAP tool, most of the usage of data in today’s world falls within the realm of Data Analysis/OLAP. It is essentially a post graduate course before you go for fellowship in Data Mining.

This Section holistically covers the subject of Metadata, not only from BI perspective but also from an overall data management perspective. Metadata carries the detailed characterization and information for all data, content and knowledge existing in an organization in all possible forms and locations. We have just started creating pages on this section. We will achieve the first stage of completion by end of April, 2008. Currently we have a single chapter of Metadata Management Overview.

Master Data Management is the set of processes, tools and infrastructure to provide a Single and Authoritative reference point for Master Data like Customer Master, Employee Master and Product Master etc. MDM has many similarities as well as differences vis-a-vis Data Warehouse. MDM, like Metadata is not only limited to BI, but provides foundation capability to wide-ranging applications and processes. MDM is generally spoken along with Customer Data Integration (CDI), as that is the most popular application of this concept.
While you get a holistic understanding of the subjects related to Business Intelligence and Performance Management, in the Business Intelligence and Performance Management the Functional Domain share on how you can apply the subject knowledge to different functional areas within an organization. Therefore, if you are an HR manager, you can go straight into the HR management section. There is enough inter-linkage provided between the functional domain sections and the relevant pages within subject domain.

This section endeavors to address on how one can apply Execution-MiH in various aspects of CRM. As CRM is a very wide field, this section creates individual domains which collectively make-up a holistic Execution-MiH application in customer management domain.

This section endeavors to address on how one can apply Execution-MiH in Sales and Distribution. Sales & Distribution management starts from generating leads and ends with making a sale. Sales cost, sales channel, sales compensation, sales processes and sales volumes have to be managed collectively to give an expected sales performance.

This section works on applying the Execution-MiH in Human Resources function. It is not a section on teaching fundamental concept of Human Resources management. It covers all the best practices in HRM, across various dimensions, how to execute these practices, how to select a right combination of todos from this repository to enhance & making happen the HR-Blueprint of an enterprise.
This domain covers all what you need to know to evaluate and assess a Vendor or a tool to implement your requirements related Business Intelligence and Performance Management. This knowledge-base does not advocate any specific tool, as we the relevance and fit of a tool is specific to the context of your organization.

This section focuses on the generic aspects of evaluation a tool/software for your Business Intelligence. While functionality of a tool is an important selection criteria, there are equally important considerations for Vendor profile, Vendor's delivery capability, commercial & contractual terms and technical features.

This section covers comprehensively the typical features which you can refer for evaluating and using an enterprise reporting tool.

This section cover all features and aspects one may need to take into account as you acquire and manage an OLAP server platform.

This section provides evaluation features on the core Data Management tools. These tools are not dedicated to Business Intelligence but serve the whole data and information environment. Metadata Management tools is first in the list of chapters.