Many companies are stuck in old ways of operating, and that negatively affect an organization's speed and adaptability to change. Nowadays, to be competitive in the digital age, businesses need to achieve agility.But many leading companies struggle to be efficient, and data-driven, which then makes them less productive. Agile transformation isn't just about technology. It's … [Read more...] about Agile Transformation; Steps, Statistics & Case Study
Technical
Learn all about technical data and programming and why it's crucial for businesses. Get knowledge on how to collect and use this information to improve your products and services.
Elastic Search; 14 Advantages, 4 Case Studies & 7 Books
Everything changes extremely fast nowadays and it is very important to follow new trends and understand them. One of the buzzwords that I want to discuss today is elastic search. We will look at what it is, it's main advantages, statistics, success stories and books. What is Elastic Search? Elastic search is an open source, broadly-distributable, readily-scalable, … [Read more...] about Elastic Search; 14 Advantages, 4 Case Studies & 7 Books
Agile Methodology, Not Only For Software Development
Agile became a hot trend these years. People used to associate Agile methodology with agile software development, but nowadays it is implemented in all departments and companies fight for the awards to be nominated as an Agile company or to be considered as a company that follows an agile process. And Apiumhub is not an exception. We use agile methodology to manage all our … [Read more...] about Agile Methodology, Not Only For Software Development
Response Surface Methodology, Analysis & Interpretation
1. Introduction Response Surface Models, a variation of the simple linear regression, with the incorporation of the second order effects of non-linear relationships, is a popular optimization technique to determine the best possible combinations of variables to determine a specific response to a phenomenon (Minimum/maximum/saddle point). RSM is particularly useful to understand … [Read more...] about Response Surface Methodology, Analysis & Interpretation
Learning about Blockchain and relevance to Analytics leaders (part 1)
This week, I had the pleasure of attending #CityChain17 (blockchain conference) at IBM's SouthBank offices. Chaired by Paul Forrest (chairman of MBN Solutions), this was an opportunity to learn about Blockchain and how it is being applied. In the past, I viewed the hype about Blockchain (following excitement about Bitcoin its most famous user) as just another fad that might … [Read more...] about Learning about Blockchain and relevance to Analytics leaders (part 1)
+
What is technical data?
Technical data can be something as simple as a list of ingredients for a recipe or a more complex set of instructions for assembling a piece of furniture. Technical data can also be mathematical formulas or set points for calibration. No matter what form it takes, technical data is always designed to provide information that will help people to understand and use a particular product or service.
In some cases, technical data may be subject to special regulations, such as those governing the handling of confidential personal information. However, in general, technical data is considered to be publicly available information. Want to learn more about technical data? Datafloq has courses available. Contact us to get started.
+
What is the purpose of technical data?
Technical data is often used to create engineering drawings or specifications, which are then used to manufacture the product. Technical data can also be used to troubleshoot problems with a product or system.
For example, if a component is not working properly, technicians may refer to the technical data to determine the root cause of the problem. Technical data is an essential part of the product development process and can be very useful for businesses and consumers.
+
What are examples of technical data?
Technical data refers to the specifications of a product or system, including its performance, dimensions, weight, etc. It is often used in the context of engineering or manufacturing. For example, engineers will consider the vehicle’s weight, aerodynamics, and engine size when designing a new car.
Technical data can also be used to compare different products or systems. For example, if you are trying to decide between two different types of printers, you might look at their printing speed, paper capacity, and resolution.
+
What is technical data analysis?
Technical data analysis aims to help make better decisions by understanding the data better. Technical data analysis can be used for different purposes, such as predicting future events, identifying trends, or spotting outliers. Many different statistical methods can be used for technical data analysis, and the choice of method will depend on the type of data and the question you are trying to answer.
+
What is a high-tech startup?
A high-tech startup is a company that uses technology to create new products or services. These startups are usually founded by entrepreneurs with innovative ideas for a new business. Many high-tech startups are based around developing new software or hardware, but some may also focus on creating new medical devices or developing new clean energy technologies.
Whatever their focus, all high-tech startups share a common goal: to bring their innovative ideas to market and create value for their customers.
+
What is a high-tech business?
A high-tech business is an organization that develops or uses advanced technological processes and products in its operations. Many high-tech businesses are involved in research, development, engineering, and manufacturing. They often work with cutting-edge technologies, such as artificial intelligence, biotechnology, and nanotechnology.
These businesses typically require a highly skilled workforce and substantial investment in research and development. Due to the risky nature of developing new technologies, many high-tech businesses are venture-backed startups. However, some large companies, such as Google and Apple, are also considered high-tech businesses.
