Introduction Data storytelling is a framework to communicate information in a way that is easy to understand. It can be used by many professionals, such as marketers and journalists. Still, it’s especially useful for data analysts because it helps them communicate their findings in a way that makes sense to experts and laypeople alike. Take...
Self-service analytics is an analytical user interface that allows customers or businesses to analyze data without requiring assistance from a data analyst or other IT staff. It provides users with the ability to derive insights using intuitive visualization tools and natural language querying. Users can find answers to their questions, take action on the results,...
Introduction Data modeling is the process of creating a model that describes the structure and relationships in your data. The goal of data modeling is to help you understand how your data relates to each other so that you can use it effectively and efficiently. What is Data Modeling? Data modeling is the process of...
Master Data Management (MDM) is the use of tools, processes, and solutions to help an organization manage its master data. It involves the creation of a unified view of all data across an organization and allows for the identification of gaps in data quality. Defining Master Data Management Master Data Management is the process of...
Introduction A data warehouse is one of the key components of any analytics solution. It is used to store and analyze data from various sources, including other databases and transactional systems in a structured format. The information stored in a data warehouse can be accessed by any business user who has appropriate permissions. Data Warehouse...
Defining a Data Lake “The Data Lake Market was valued at USD 3.74 billion in 2020 and is expected to reach USD 17.60 billion by 2026, at a CAGR of 29.9% over the forecast period 2021 – 2026. Data lakes have become an economical option for many companies rather than an option for data warehousing.”...