Today, master data management (MDM) and data governance are considered co-dependent disciplines – that is, an organization won’t be successful in implementing one without also focusing on the other.

Selection of an appropriate prioritization framework will help you to better assess the potential of your product and not to stumble on the decision deadlock. Four popular prioritization models are: 

• RICE

When we talk about technical or administrative expertise specific to a particular field of application, we usually mean so-called hard skills.

Flutter is a portable SDK equipped with some extra tools that are pretty helpful for developers who build applications for web, mobile platforms, or even desktops. 

The application of artificial intelligence in eCommerce allows using business and customer data for making predictions that are not so obvious to the naked eye of customers looking for a specific product on a website and business owners planning the strategy of promoting goods and services.

Nowadays, there’s no shortage of various technological means allowing companies to improve their customer support. For example, for that purpose, companies can rely on artificial intelligence, machine learning, or natural language processing.

Cloud migration presupposes migration of the existing legacy application deployed on an on-premise server to the virtual computer server — cloud. Its main task is to provide access to the information on the cloud storage and delivery of the virtual “hardware”.

Data lakes are a way of accumulating and processing data without any predefined structure, the purpose of which is not determined at the moment. Just as data lakes, warehouses were initially created for enabling enterprises to store large sets of information and process it.

Industrial IoT or IIoT is a subset of a well-known IoT we use in our everyday life. Unlike traditional IoT which is normally used by ordinary consumers to enhance quality of life and for fun, industrial IoT is used at industrial level. Main benefits of Industrial IoT: 

Discovery phase is the initial phase of a software project, which helps to define its goals, scope and limitations. Owing to this phase, there is a possibility to analyze the information related to the project, and to understand the target audience of the future software product.