Strategy Planning
Business Mentoring
Process Analysis
Project Management
Management Consulting
Data Analysis
Business Analysis
Systems Analysis
Application Development
Strategy Planning: Strategic planning is the formal consideration of an organization's future course. All strategic planning deals with at least one of three key questions:
In business strategic planning, the third question is better phrased "How can we beat or avoid competition?". (Bradford and Duncan, page 1).
In many organizations, this is viewed as a process for determining where an organization is going over the next year or more -typically 3 to 5 years, although some extend their vision to 20 years.
In order to determine where it is going, the organization needs to know exactly where it stands, then determine where it wants to go and how it will get there. The resulting document is called the "strategic plan".
It is also true that strategic planning may be a tool for effectively plotting the direction of a company; however, strategic planning itself cannot foretell exactly how the market will evolve and what issues will surface in the coming days in order to plan your organizational strategy. Therefore, strategic innovation and tinkering with the 'strategic plan' have to be a cornerstone strategy for an organization to survive the turbulent business climate.
Business Mentoring: Mentorship refers to a developmental relationship in which a more experienced person helps a less experienced person, develop in a specified capacity.
Process Analysis: is an operation is composed of processes designed to add value by transforming inputs into useful outputs. A process therefore must add value to the input and have at least one supplier and a customer. Since processes defines every aspect of an organization, from production to day-to-day working including formal communication – improvement of process makes an organization more competitive.
The first step for process improvement is to understand the process, i.e. process analysis. It includes detail study of activities, their relationships and interdependencies.
Project Management: is the discipline of planning, organizing and managing resources to bring about the successful completion of specific project goals and objectives.
A project is a finite endeavor (having specific start and completion dates) undertaken to create a unique product or service which brings about beneficial change and/or added value. This finite characteristic of projects stands in sharp contrast to processes, or operations, which are permanent or semi-permanent functional work to repetitively produce the same product or service. In practice, the management of these two systems is often found to be quite different, and as such requires the development of distinct technical skills and the adoption of separate management.
The primary challenge of project management is to achieve all of the project goals and objectives while honoring the project constraints. Typical constraints are scope, time and budget. The secondary—and more ambitious—challenge is to optimize the allocation and integration of inputs necessary to meet pre-defined objectives.
Management Consulting: refers to both the industry of, and the practice of, helping organizations improve their performance, primarily through the analysis of existing business problems and development of plans for improvement.
Data Analysis: Data analysis is a process of gathering, modeling, and transforming data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains
Business Analysis: is the set of tasks, knowledge, and techniques required to identify business needs and determine solutions to business problems. Solutions often include a systems development component, but may also consist of process improvement or organizational change.
Systems Analysis: There is the need to align IT Development with the systems actually running in production for the Business. A long-standing problem in business is how to get the best return from IT investments, which can be generally very expensive and of critical strategic importance. Systems analysis often create a procedures and to define the requirements for their IT systems and work with the clients to meet their needs.
Application Development (RAD): Rapid application development is a software development methodology, which involves iterative development and the construction of prototypes. It is a merger of various structured techniques, especially the data driven Information Engineering with prototyping techniques to accelerate software systems development. RAD calls for the interactive use of structured techniques and prototyping to define user's requirements and design the final system. Using structured techniques the developer first builds preliminary data models and business process models of the business requirements. Prototyping then helps the analyst and users to verify those requirements and to formally refine the data and process models. The cycle of models, then prototypes, then models, then prototypes and so forth on, ultimately results in a combined business requirements and technical design statement to be used for constructing new systems.