SAP was founded in 1972 in Walldorf, Germany. It stands for Systems, Applications and Products in Data Processing. Over the years, it has grown and evolved to become the world premier provider of client/server business solutions for which it is so well known today. The SAP R/3 enterprise application suite for open client/server systems has established a new standards for providing business information management solutions.

The main advantage of using SAP as your company ERP system is that SAP have a very high level of integration among its individual applications which guarantee consistency of data throughout the system and the company itself.

In a standard SAP project system, it is divided into three environments, Development, Quality Assurance and Production.

  • 1. Business Processes: If you have little or no exposure to a functional area, you first want to start with understanding the business processes that flow through SAP. Also keep in mind that most processes are cross-functional and go end-to-end, meaning they pass through many departments in an organization.
  • 2. SAP Acronyms: Secondly, understanding SAP acronyms and how you fit in the overall SAP project is important in quickly providing value. As a beginner, you’re probably finding the world of SAP to be filled with intimidating acronyms. Before you get too overwhelmed, realize that there is probably only a subset of acronyms and terms that will actually be relevant to your role in SAP.
  • 3. SAP Project Concepts: Finally, every beginner should understand basic SAP project concepts like the phases and roles people involved in a SAP implementation.


Enterprise Project Management (EPM), in broad terms, is the field of organizational development that supports organizations in managing integrally and adapting themselves to the changes of a transformation. Enterprise Project Management is a way of thinking, communicating and working, supported by an information system, that organizes enterprise's resources in a direct relationship to the leadership's vision and the mission, strategy, goals and objectives that move the organization forward. Simply put, EPM provides a 360 degree view of the organization's collective efforts.

In order to facilitate governance, it has become essential to be able to manage, monitor, and assess the status of all projects (and other assets, of course) in the enterprise, through a set of (preferably uniform) Enterprise Project Management processes, methods and application packages. Typically, organizations that adopt an Enterprise Project Management way of working, might set up a Project Management Office (PMO)/ Enterprise Project Management Office (EPMO), which is said to be more successful than a traditional PMO in addressing the priorities of the organization as its scope is enterprise-wide), might select and adopt a Project Management Methodology like PRINCE2,PMBOK (or create a proprietary method) or follow the concepts of IPMA Competence Baseline as a foundation for development and certification of project managers and their knowledge, experience and behaviour. They might even select and implement a software system to support Enterprise Project Management.


SAP BPC is a component of SAP EPM portfolio, an application dedicated to financial processes on a unified platform. Owned by the business and designed for the end user, it is the target environment to support planning, consolidation and financial reporting.

SAP BPC can be initially implemented to address one business process such as management consolidation but quickly be extended to address other processes e.g. business modelling, planning and budgeting. This organic scalability is a unique differentiator of SAP BPC´s unified platform.

Benefits of implementing SAP BPC :

Post SAP BPC implementation, our customers have realized the following benefits:

  • A faster month-end closing process
  • Improved access to critical business information
  • Reduced effort to produce information and reduced cycle times for budgeting / forecasting and consolidating actuals
  • Cost reductions, better cash management and less financial risk from improved processes and a better view of the future
  • Improved process control using system workflow and version controls

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Business Intelligence And Predictive Analytics

Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes.

BI can be used to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions include priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a more complete picture which, in effect, creates an "intelligence" that cannot be derived by any singular set of data

Predictive analytics combine business knowledge and statistical analytical techniques to apply with business data to achieve insights. These insights help organizations understand how people behave as customers, buyers, sellers, distributors, etc

Predictive analytics are used to determine the probable future outcome of an event or the likelihood of a situation occurring. It is the branch of data mining concerned with the prediction of future probabilities and trends. Predictive analytics is used to automatically analyze large amounts of data with different variables; it includes clustering, decision trees, market basket analysis, regression modeling, neural nets, genetic algorithms, text mining, hypothesis testing, decision analytics, and more.

The core element of predictive analytics is the predictor, a variable that can be measured for an individual or entity to predict future behavior. For example, a credit card company could consider age, income, credit history, other demographics as predictors when issuing a credit card to determine an applicant’s risk factor.

Multiple predictors are combined into a predictive model, which, when subjected to analysis, can be used to forecast future probabilities with an acceptable level of reliability. In predictive modeling, data is collected, a statistical model is formulated, predictions are made, and the model is validated (or revised) as additional data become available.

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Pulse-code modulation (PCM) is a method used to digitally represent sampled analog signals. It is the standard form of digital audio in computers, Compact Discs, digital telephony and other digital audio applications.

Pulse code modulation (PCM) is a digital scheme for transmitting analog data. The signals in PCM are binary; that is, there are only two possible states, represented by logic 1 (high) and logic 0 (low). This is true no matter how complex the analog waveform happens to be. Using PCM, it is possible to digitize all forms of analog data, including full-motion video, voices, music, telemetry, and virtual reality (VR).

To obtain PCM from an analog waveform at the source (transmitter end) of a communications circuit, the analog signal amplitude is sampled (measured) at regular time intervals.The sampling rate, or number of samples per second, is several times the maximum frequency of the analog waveform in cycles per second or hertz. The instantaneous amplitude of the analog signal at each sampling is rounded off to the nearest of several specific, predetermined levels. This process is called quantization. The number of levels is always a power of 2 -- for example, 8, 16, 32, or 64. These numbers can be represented by three, four, five, or six binary digits (bits) respectively. The output of a pulse code modulator is thus a series of binary numbers, each represented by some power of 2 bits.

At the destination (receiver end) of the communications circuit, a pulse code demodulator converts the binary numbers back into pulses having the same quantum levels as those in the modulator. These pulses are further processed to restore the original analog waveform.


SAP HANA is an in-memory, column-oriented, relational database management system developed and marketed by SAP SE.HANA's architecture is designed to handle both high transaction rates and complex query processing on the same platform. SAP HANA was previously called SAP High-Performance Analytic Appliance

In addition to the database engine, HANA includes an embedded web server and version control repository that can be used for application development. HANA applications can be created using server-side JavaScript and HTML.

What SAP HANA Means for You

  • Real-time decision-making by bringing all the data in your enterprise within the reach of decision-makers in seconds, not weeks or months, in an easy-tounderstand and use format so your company can run smarter and faster, and perform better.
  • Enables innovative new applications, combining high-volume transactions with analytics, to dramatically improve existing planning, forecasting, pricing optimization and other processes
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  • Accelerate business performance while reducing TCO via less hardware, maintenance, and testing. SAP HANA is based on proven technology which are easy to implement whether delivered on-demand or via appliances.
  • High-performance analytics for SAP ERP – Access data directly from SAP ERP or combine it with other data sources for real-time analytics and insight into the business.
  • Accelerated business intelligence – SAP BusinessObjects BI clients are integrated directly on top of the SAP HANA appliance
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  • 360-degree view of business operations – Integrate and model data from virtually any data source for complete real-time insight into the entire business.
  • Next generation in-memory technology foundation for your current and future SAP BW and SAP ERP deployments, with plans to ensure an easy upgrade from SAP BWA to future versions of SAP HANA.

Cloud Hosting

Hosting services that are provided to customers via multiple connected servers that comprise a cloud, as opposed to being provided by a single server or virtual server. While security and lack of full control of data are the most frequently cited concerns with cloud hosting, there are numerous benefits possible with cloud hosting, including increased reliability and accessibility, seamless scalability and cost efficiency.

Cloud hosting is also sometimes referred to as server on-demand hosting, cloud server hosting or cluster server hosting.

  • Highest level of website performance guaranteed by multiple machines
  • Guaranteed server resources (CPU, RAM)
  • Redundant data storage
  • No single point of failure
  • Website growth flexibility
  • Lower pricing and generous features

SQL Server

Microsoft SQL Server is a relational database management system developed by Microsoft. As a database, it is a software product whose primary function is to store and retrieve data as requested by other software applications, be it those on the same computer or those running on another computer across a network (including the Internet). There are at least a dozen different editions of Microsoft SQL Server aimed at different audiences and for workloads ranging from small single-machine applications to large Internet-facing applications with many concurrent users. Its primary query languages are T-SQL and ANSI SQL.