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Mobile Application Development
Mobile application development is a term used to denote the act or process by which application software is developed for handheld devices, such as personal digital assistants, enterprise digital assistants or mobile phones.Mobile application development is the set of processes and procedures involved in writing software for small, wireless computing devices such as Smartphone or tablets. Mobile application development is similar to Web application development and has its roots in more traditional software development.
One critical difference, however, is that mobile applications (apps) are often written specifically to take advantage of the unique features a particular mobile device offers. For instance, a gaming app might be written to take advantage of the iPhone's accelerator. One way to ensure that applications show optimum performance on a given device is to develop the application (app) natively on that device. This means that at a very low level, the code is written specifically for the processor in a particular device. When an app needs to run on multiple operating systems, however, there is little -- if any -- code that can be reused from the initial development. The application must essentially be rewritten for each specific device.
Web Application Development
Web application development is the process and practice of developing web applications. Considering this, along with its unique characteristics, popular frameworks used include the spiral approach and business-oriented approach to application development, among other models that address the requirements for an iterative process.There is a consensus that the processes involved are extensions of standard software engineering processes.
Web application development Just as with a traditional desktop application, web applications have varying levels of risk. A personal home page is much less risky than, for example, a stock trading web site. For some projects security, software bugs, etc. are major issues. If time to market, or technical complexity is a concern, documentation, test planning, change control, requirements analysis, architectural description and formal design and construction practices can mitigate risk.
A study conducted involving web engineering practice revealed that web application development has several characteristics that have to be addressed and these include: short development life-cycle times; different business models; multi-disciplinary development teams; small development teams working on similar tasks; business analysis and evaluation with end-users; explicit requirement and rigorous training against requirements; and, maintenance.
Re-engineering & Migration
We Re-invent Your Business Solutions
Benefits Of Our Migration And Re-engineering Services
Process Consultant Part of the field called Human Systems Intervention, process consultation is a philosophy of helping, a general theory and methodology of intervening (Schein, Process Consultations, 1992 revisited).
A process consultant is a highly qualified professional that has insights into and understands the psychosocial dynamics of working with various client systems such as whole organizations, groups, and individuals.
Given the complex nature of intervening, a process consultant's expertise includes the following (and many other) aspects:
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.
It can be used by enterprises to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions involve 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 complete picture which, in effect, creates an "intelligence" that cannot be derived from any singular set of data. Amongst myriad uses, business intelligence tools empower organizations to gain insight into new markets, to assess demand and suitability of products and services for different market segments and to gauge the impact of marketing efforts
Internet of Things
The Internet of things, or IoT, is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. A thing in the internet of things can be a person with a heart monitor implant, a farm animal with a biochip transponder, an automobile that has built-in sensors to alert the driver when tire pressure is low or any other natural or man-made object that can be assigned an IP address and is able to transfer data over a network.
Increasingly, organizations in a variety of industries are using IoT to operate more efficiently, better understand customers to deliver enhanced customer service, improve decision-making and increase the value of the business.
Artificial Intelligence (AI)
Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".
The scope of AI is disputed: as machines become increasingly capable, tasks considered as requiring "intelligence" are often removed from the definition, a phenomenon known as the AI effect, leading to the quip, "AI is whatever hasn't been done yet."For instance, optical character recognition is frequently excluded from "artificial intelligence", having become a routine technology.Capabilities generally classified as AI as of 2017 include successfully understanding human speech, competing at the highest level in strategic game systems (such as chess and Go), autonomous cars, intelligent routing in content delivery network and military simulations.
Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding (known as an "AI winter"),followed by new approaches, success and renewed funding. For most of its history, AI research has been divided into subfields that often fail to communicate with each other.These sub-fields are based on technical considerations, such as particular goals (e.g. "robotics" or "machine learning"),the use of particular tools ("logic" or artificial neural networks), or deep philosophical differences. Subfields have also been based on social factors (particular institutions or the work of particular researchers).
In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances in computer power, large amounts of data, and theoretical understanding; and AI techniques have become an essential part of the technology industry, helping to solve many challenging problems in computer science.
Outsourcing is an agreement in which one company contracts its own internal activity to a different company. It involves the contracting out of a business process (e.g. payroll processing, claims processing) and operational, and/or non-core functions (e.g. manufacturing, facility management, call center support) to another party (see also business process outsourcing). The concept "outsourcing" came from the American Glossary 'outside resourcing' and it dates back to at least 1981. Outsourcing sometimes, though not always, involves transferring employees and assets from one firm to another. Outsourcing is also the practice of handing over control of public services to private enterprise.
Financial savings from lower international labor rates can provide a major motivation for outsourcing or offshoring. There can be tremendous savings from lower international labor rates when offshoring.
Audit as a Service
Is Your Website Working for You?
Even the best websites have room for improvement. In order for your website to operate effectively as the hub of your digital marketing efforts, you need a website that is optimized for peak performance and user experience. With a website audit, you’ll discover what about your website is working and where improvements can help you grow. With new technology and strategies for online success developing every day, you need a team to stay on top of the latest trends. Web audits give you the confidence to know that your website is a valuable operational tool for cutting through the noise and conveying your message to your audience.
Areas of the website audit
Every website is unique so it has specific needs and problems to be fixed. So we start with a quick review of your site in a number of areas. This lets us know which special in-depth audits to recommend to you.