Posts

Business Intelligence Process Steps for Success

Business Intelligence has become increasingly important for companies to remain competitive in the marketplace. From their practices, organizations are able to measure their team performance and make predictions for the future, making more assertive decisions about practices to follow. Business Intelligence is critical to competitive advantage and business advancement, but reaping the benefits of this concept requires more than just implementing technology. When you take over the management of a company or lead a project team, decision making becomes part of your work routine. It turns out that, at many times, choices need to be quick and any hasty option or flawed decision process can compromise business results. Although it may seem simple, decision-making ability is not a common attribute for all managers. Why BI is Crucial for your Business? The professional who masters BI is able to see the facts that others cannot because they master certain technologies and have knowledg
Post a Comment
Read more

Rapid Application Development’s Pros and Cons Explained

Rapid Application Development  is a team-based technique which is based on prototyping and iterative development where no detailed pre-planning is involved. RAD implements the complete methodology of four-phase life-cycle. It is used when a system needs to support a company’s new business function. The main objective of RAD is to cut the development time and its costs by incorporating users in every phase used in RAD. With Rapid Application Development, developers can update software quickly and adds multiple iterations without needing to start from the beginning.  It is an improvement over the previously used traditional  waterfall model ,  which was more complex as in that case, it was very difficult to change the core functions and features when it went in the testing phase. It was less useful as it didn’t fit the evolving environment of any company. Four phases implemented in RAD(Rapid Application Development) Requirement-planning User Design: Construction Cutover 6 P
Post a Comment
Read more

Microservices vs. Web Services: How the two Software Development Architecture Differ?

The terms Microservices and Web Services have been used extensively in recent years. Both are incredibly important for web development and, considering the way they are used, it’s almost as if the two terms are interchangeably, although in practice they are different technologies. To better understand the difference between microservices and web services, let’s recall some important concepts and clarify a few things.  What do you need to know about Microservices? Benefits of Microservices Makes continuous deployment possible Optimizes sizing Addresses the problem of complexity Enables companies to optimize resources for development and applications Allows developers to make appropriate, service-specific decisions What do you need to know about Web Services? Benefits of Web services Reduced development time Integration of information and systems Cost savings Code reuse Increased security Microservices vs. Web Services What do you need to know about Microser
Post a Comment
Read more

What is the Importance of Data Management in different Organizations?

Data Management is the development and execution of architectures, policies, practices, and procedures to manage the information lifecycle needs of an enterprise effectively.” It is merely the ‘management of information.’ Organizations use Data management to make business decisions and to understand customer behavior, trends, and opportunities for creating extraordinary customer experiences. Data Management is a pivotal part of any organization as it: Acquires Validates Stores And secures, the data to ensure the reliability and accessibility for users. It includes everything from data planning, managing, and documentation to storage. An organization needs to have an effective aptness of data for better decision making. It is a crucial process which leads them to the success and reproducibility of an organization. Managing data as a resource is an essential function of data management. Accurate and relevant data is a source of valuable information. Data Lifecycle Manageme
Post a Comment
Read more

Internet of Thoughts Explained

Imagine a technology that can provide instant or real-time access to information and computing power just by thought alone. According to new  research  by the US neuroscientists and nanorobotics researchers, a matrix-style human brain to cloud interface (B/CI) or what we now come to know as internet of thoughts network, could be a possibility within a few decades. The human brain to cloud interface (B/CI) concept was first suggested by Ray Kurzweil, a futurist-author and inventor, who proposed that neural nanorobots could be used to link the neocortex of the human brain to a synthetic neocortex in the cloud. According to a leading author Dr. Nuno Martins: “A human B/CI system mediated by neural nanorobotics could empower individuals with instantaneous access to all cumulative human knowledge available in the cloud, while significantly improving human learning capacities and intelligence.” What exactly is the Internet of thoughts? Internet of thought is the proposal of a n
Post a Comment
Read more

Fog Computing vs. Cloud Computing: What’s the Difference?

What is fog computing? It is an architecture that extends services offered by the cloud to edge devices. Fog computing is seen as the new cloud and is believed to have taken over, but it is just an extension or an evolution of the cloud. Fog computing allows for the distribution of critical core functions like storage, communication, computer, control, decision making and application services closer to the origination of data. It is a new distributed architecture, one that spans the continuum between the cloud and everything else. It makes fog computing, a common sense architecture and a necessary one for scenarios where latency, privacy, and other data-intensive issues are a cause for concern. It facilitates the operation of computer and networking service. Fog computing acts as a jumping-off point for edge computing. It is a standard that defines how edge computing should work. Fog computing minimizes the latency by analyzing the data close to where it is. It reduces traffic
Post a Comment
Read more

Big Data Trends and Predictions to look out for in 2019

Over the years, big data trends have changed. Without a doubt, 2018 was a huge leap for big data. New tools and technologies have emerged, companies have merged, and startups have taken off. The advancement in this technology is allowing the emergence of new trends. Organizations must implement the right trends to stay ahead of their competitors. With that in mind, we’ve separated some big data trends and predictions which are expected to be seen in 2019. Top Big Data Trends and Predictions for 2019 AI-driven data infrastructure 2018 can basically be called the first year of artificial intelligence. Most companies laid out the manpower, tools and infrastructure of machine learning and deep learning technology, and some industry solutions gradually came forth. From the perspective of this year, in big data platform and tool market, more and more AI solution tools are being built which gradually evolved from AI modeling and AI algorithm framework tools to data development, pr
Post a Comment
Read more