Articles

Mobile application security has become a prime issue today, especially when the majority of businesses are investing considerable resources in making their workforce more active and productive. The trend of Bring Your Own Device (BYOD) has undoubtedly benefitted organizations by offering higher work efficiencies and employee comfort but has also brought along an inevitable downside in the form of peppy vulnerabilities that organizations need to address promptly.

The red-line between Business Intelligence and Business Analytics has always been blurry. It’s hard to differentiate between BI and Business Analytics because they ride on a similar behavioral pattern.

We can’t foresee the future events and analyze their outcomes, but what we can do is use all of our current digital capacities to gather and analyze past-data to draw insights into the future. In data science terminology, this process is termed as predictive analytics, and it is now widely adopted in sizeable heterogeneous business networks for greater transparency.

The best optimists are those who have a contingency plan for everything that can go wrong. For this risk mitigation planning is paramount to ensure control over the project development process and its success. Risk mitigation equips project managers with the right approach, tools, and resources to face the worst of eventuality, which if not accounted, can slow down project pace.

Test development has been a long-standing issue in the modern software development realm. Today, when almost every development team faces the challenge of building an ideal market application with better accuracy and speed, test automation becomes more of a compulsion than just a time-saving practice. Today’s user needs are fickle and ever-changing; therefore, it makes the work taxing, especially for the test engineers.

It is relatively reasonable to state that the modern business world primarily builds upon the power of data to bring desired upgrades into their work process. With the world becomes more data affluent, technological evolution would result in enhanced productivity of business data. This in return would also help decision makers to transform their work models into better production engines with data tech acting as its driving fuel.

Big Data is a vast collection of organizational data, which modern enterprises are turning into decisive insights via analytical means. Every data bit is necessary when it comes to putting big data analytics at work. This data comes from a variety of organizational sources, ranging from clickstreams, social media interactions, operational data points or functional logs. By applying analytical algorithms and automation tools, an organization can use its data goods to derive actionable insights and make informed market decisions.

With the advent of technology, users started experiencing the functionality of desktop computers on their hand-held devices, giving rise to smartphone usage. The population of smartphone users have started growing rapidly, so much that mobile devices have started dominating over the traditional desktop computers. It is common to see mobile apps becoming ubiquitous in our life.

Just a few decades ago, mobiles were merely seen as portable communication tools, restricted to calls. However, the mobile computing industry has undergone herculean advancements today, which were once unimaginable. The small, hand-held devices have transformed into portable computers, thus justifying the exponential growth in its use. The evolution of technology and an increase in the number of smart-phone users, globally, has resulted in a surge in mobile application usage.

The modern-day enterprise world is well-off with technology-based solutions which offer functional and operational superiority across workspaces. Use of software-based tools and advanced cloud services have been acknowledged by the business leaders where they are of the opinion that parallelizing with modernized tech is imperative to maintain a corporate edge.

The 21st century is blessed with technological marvels like Cloud, ML, AI, Analytics, and Mobility, etc. Most of the advancements were developed with the intent to reinforce workplace efficiency and embrace operational success. However, only in-house functional upgrades cannot bring the desired market lead. Businesses today need to invest their resources equally into user experience designs to create and deploy enjoyable experience for their end users.

The advent of cloud technology has radically transformed the larger section of corporate functionality today. Almost every corporate firm, big or small, majorly counts on cloud infrastructure to achieve operational and functional proficiency at desired levels. In simple terms, any user can easily make on-demand use of high-end IT resources without actually putting up with the installation and operational costs as opposed to on premise setups. Modern-day cloud services are inherently easy on accounts, highly scalable and fully managed by a cloud service provider, thereupon allowing even the smallest of work teams with profound operative lead.