Dataception

At the most basic level, data deduplication refers to the deletion and removal of redundant or duplicate data. It is an ongoing process to ensure no excess data is in your database, and that you’re using only a single copy of truth, or the golden record, for analytics or operations. Redundant or duplicate data can harm your business and your strategy in many ways, both in operational use cases and analytical use cases. From an operational perspective, you can’t answer questions like which account is the right one to contact? From an analytics perspective, it’s hard to answer questions like who are my top paying customers by revenue? Data deduplication has a lot of overlap with data unification, where the task is to ingest data from multiple systems and clean it. It also overlaps with entity resolution, where the task is to identify the same entity across different data sources and data formats. What are the benefits of deduplication? Data deduplication can benefit your business in a my...

  Data Modeling techniques are used to create a map or blueprint showing how an organization gathers and processes data. Data models help to define the logical structure for an organization’s data. Data Modeling techniques are necessary for businesses wanting to maximize and streamline their ability to analyze and understand data. While developing the model, the data modeler will work with the business’s data and marketing team to determine the business’s needs. It can take time to develop an effective Data Modeling program. However, from a big picture perspective, it is worth it, because it can save a significant amount of labor and money by finding errors before they occur. Many modern data models include the use of automation and visual interfaces (this allows the user to directly manipulate graphic data on the screen). Data Modeling begins with collecting information about the organization’s business requirements and how the data will be used. This information is used to establ...