do you want tostay out of digital transformation

what is web design? and what web development?

Web design and development is an umbrella term that describes the process of creating a website. Like the name suggests, it involves two major skill sets: web design and web development. Web design determines the look and feel of a website, while web development determines how it functions.

Because there isn’t always a hard line that separates the two roles, the titles are often used interchangeably. As the web continues to evolve, so do the roles.

In the almost 30 years since the first website was created have emerged to describe various skill sets used to create a website, with. These titles often overlap, and their meanings change from company to company. It’s enough to make your head spin.

In the almost 30 years since the first website was created, numerous job titles have emerged to describe various skill sets used to create a website, with more coming out every year. These titles often overlap, and their meanings change from company to company. It’s enough to make your head spin.

-degree of ability -
web design & web development 69%

what is social media marketing?

  • Social media marketing (SMM) uses social media and social networks—like Facebook, Twitter, and Instagram—to market products and services, engage with existing customers, and reach new ones.
  • The power of social media marketing comes from the unparalleled capacity of social media in three core marketing areas: connection, interaction, and customer data.
  • Social media marketing has transformed the way businesses are able to influence consumer behavior—from promoting content that drives engagement to extracting personal data that makes messaging resonate with users.
  • Because social media today is so ubiquitous, marketing techniques using these platforms are extremely important for businesses.
-degree of ability -
social media marketing 63%

what is Tailor - Made Software?

Tailored Software  (also known as bespoke software, or customized software) refers to software that has been developed specifically for a single person, company, or organization. Because the application was designed just for your business, there are no limitations to what it can achieve.

Fully custom-made – This type of solution refers to software that was developed entirely from scratch. In most circumstances, using pre-existing libraries is much more practical than creating your own from the start. Due to the architecture’s uniqueness, only a few software projects need a complete rewrite.

Semi-custom – The vast majority of customized applications are built using a semi-custom technique, which is by far the most prevalent. To save time and prevent starting from scratch, this kind of solution leverages existing software. By using pre-developed libraries, the development team may concentrate on other, more critical project areas.

Custom software systems – These solutions are used by some companies that rely on software provided by other organizations with comparable business requirements. Rather than beginning from scratch, this software development team uses an existing application.

-degree of ability -
Tailor - Made Software 78%

what is video editing?

Video editing is the manipulation and arrangement of video shots. Video editing is used to structure and present all video information, including films and television shows, video advertisements andvideo essays Video editing has been dramatically democratized in recent years by editing software available for personal computers. Editing video can be difficult and tedious, so several technologies have been produced to aid people in this task. Pen based video editing software was developed in order to give people a more intuitive and fast way to edit video

-degree of ability -
Video editing 78%

what is data analysis?

data analysis is a process of inspecting, cleansingtransforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.[1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains.[2] In today’s business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.[3]

Data mining is a particular data analysis technique that focuses on statistical modelling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information.[4] In statistical applications, data analysis can be divided into descriptive statisticsexploratory data analysis (EDA), and confirmatory data analysis (CDA).[5] EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses.[6][7] Predictive analytics focuses on the application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.[8]

Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination.[9]

Analysis, refers to dividing a whole into its separate components for individual examination.[10] Data analysis, is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users.[1] Data, is collected and analyzed to answer questions, test hypotheses, or disprove theories.[11]

Statistician John Tukey, defined data analysis in 1961, as:

“Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data.”[12]

There are several phases that can be distinguished, described below. The phases are iterative, in that feedback from later phases may result in additional work in earlier phases.[13] The CRISP framework, used in data mining, has similar steps.

-degree of ability -
Data analysis 78%
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professionalism

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Experience

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