Dataception

What Is Data Preparation? Data preparation is the process of collecting, cleaning, and consolidating data into one file or data table, primarily for use in analysis The Key Steps to Data Preparation Access Data Access data from any source – no matter the origin, format or narrative. Dataception excels at intelligently and automatically extracting data from complex unstructured and semi-structured sources, like PDFs. Increased access to data means less manual work, faster insights and faster time to value realized by your organization. Cleaning Data and Improving Data Quality Manual data prep is error-prone, time-consuming and costly. Business decisions rely on analytics. But, if the data is inaccurate or incomplete, your analytics inform wrong businesses decisions. Bad analytics means poor business decisions. Dataception is programmed with over 80 pre-built data preparation functions to speed up arduous data cleansing projects. Blending and Reconciling Data Multiple, disconnected syste...

  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...

 In today’s fast-paced business world, one of the best ways for a modern enterprise to optimize processes is to rethink how to manage data. Business documents contain vital information for companies, irrespective of their size and industry. As most of these business documents contain unstructured data, automated data extraction has become a go-to option for many organizations. Modern businesses take advantage of automation and advanced real-time analytics to improve processes, ranging from supply-chain management to customer experience and more.  Why Automated Data Extraction? Automated data extraction helps organizations seamlessly extract the relevant information from large volumes of unstructured documents. They can unlock the valuable insights trapped in PDFs, DOC, DOCX, emails, and other documents and leverage them to make informed decisions, simultaneously improving the bottom line.  Top Benefits of Automated Data Processing Automated data processing allows business...