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This article was authored by Brocoder Rodion Salnik and published with permission.
Cloud-based application development makes data collection more convenient and simplifies security and management. It also allows enterprises to create productivity-based applications to enhance customer experience and revenue. Additionally, cloud software development solutions enable businesses to invest in low-code app development, which is also a time- and cost-effective process.
More often, claims like “data are the new oil” or “data is the new electricity” appear in board meetings, research articles, and presentations, highlighting the data’s power and potential worldwide. However, with such global attention to data developments, one type of data has been largely overlooked - zero-party data.
The term “zero-party” data was first introduced by Forrester Research in 2022, defining this type of data as data that customers intentionally and proactively share with a brand. Zero-party data can include purchase intentions, preference center data, personal contexts, and how an individual wants to be recognized by a brand. With GDPR, CASL, and CCPA guidelines, along with Google phasing out the third-party cookies support by 2023, companies across the globe are having a hard time collecting data as these regulations directly impact their ability to run effective marketing campaigns and serve customized content. These data laws make it difficult for companies to understand customers and their brand aspirations.
Currently, there are 1.9 billion active websites with 4.6 Google searches per day and more than 5.4 billion unique Internet users. To date, the market size of the Web Design Services industry is equal to $11 billion, with the total number of web developers and designers in the US expected to increase to 205,000 in 2030 from 178,900 in 2020.
The revenue in the application development software industry is expected to reach $149.7 billion in 2022 and grow to $218.80 billion by 2027 at a CAGR of 7.89%. The top 5 countries expected to generate the most revenues over the 2022-2027 period include:
Currently, the software paradigm is represented by two types of solutions: microservices and monolithic architecture. In general, microservices architecture represents an application as a collection of small, loosely coupled services. In this kind of solution, the complexity is moved to the level of coordination of services. Each service represents one business capability that makes it easier to locate the code.
Whereas monolithic architecture assumes several discrete functions composed into a single unit that is tested, deployed, and scaled as a whole. All components are interdependent and often cannot run separately. That also means a bug in a module can slow down or break the entire application.
On the flip side of the coin, many digital trends have boomed recently as of COVID-19, including the simplified interfaces that can help users quickly build and launch custom apps with minimal hand-coding. These factors, along with the fact that every company strives to streamline and automate its processes, allowed low code and no-code platforms to flourish.
The popularity of low-code application development has gained decent traction these days — according to Gartner, low-code is forecast to comprise over 65% of application development by 2024.
Single sign-on (SSO) is a method of authentication enabling users to access different applications with one set of credentials, such as a login and a password. SSO login is widely used by corporations, smaller companies, and users who want to make the authentication process more accessible and convenient.
SSO is an integral part of many solutions designed to manage access control. For example, decisions over which permissions should be granted to a user are based on identity verification.
Modern DPMs can process billions of different events in a short period. The mere thought seems unrealistic, as such operations require a potent computational capacity and flexible scalability. But before diving deeper, let’s have a look at some definitions.
A DMP is a software platform used for collecting, organizing, managing, and activating data gathered from all the possible sources: online, offline, mobile, and so on. The power of a DMP is to turn raw information into an understandable structure with sorted elements. It allows companies to segment their audiences into groups based on different parameters and show each of the targeted advertising, customized and personalized content. This process is an essential part of data-driven marketing that grants access to unique insights into customer behavior.
Access to information gives a unique opportunity to understand the interests and demands of the customers much better and even exceed their expectations. So naturally, this makes data collection urgent, the first and most crucial step of any decision-making process. But before diving deeper into the topic, let’s get started with some essential definitions.
Data collection is gathering data; it's further measuring, processing, assessing, and analyzing for research purposes. It’s conducted with the help of established, validated techniques, which make it possible to answer research questions, test hypotheses, and evaluate final results. The main goal of data collection is to get access to reliable sources of information that will provide data for further analysis and make data-driven decisions possible.
Figure 1 12 Key Principles of Agile Methodology
Many customer requests changed during this lag, which led to the cancellation of many projects. As a result, in 2001, 17 leaders met and signed the Agile Manifesto to change the situation for the better. The Manifesto consists of four fundamental values and twelve principles that define the process of software development. Each team applies them differently, but they are an essential part of delivering high-quality software to businesses. The four values of the Agile Manifesto include:
There are plenty of horror stories about outsourced software developers and clients clashing on project requirements, and one of the most common causes of such quarrels is ambiguous language. Vague terms like "urgent," "pending," "ASAP," and so on might mean something different to the client and to the contractor. Or, perhaps, the involved parties have a different impression of the product's prioritized functionalities. It's neither party's fault, per se — they are just speaking different languages, in a sense. The customer has an idea for the product, its functions, and what the user interface might look like.
But the developers are thinking about the "behind-the-scenes" of the project, how to write a scalable and readable code, ensure security, make a solution performant, minimize bugs, etc. When there is a disconnect between both viewpoints, it can lead to extra work, wasted money, stress, and even a sub-par final product. But, thankfully, there's a way to avoid such miscommunications from the get-go: Software Requirements Specifications.