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Showing posts with the label Hyper Automation

Why the Consumable Form of Data Needs Your Attention

How organizations manage their data directly impacts their success or failure. The correlation between data analytics and intelligence to competitive advantage and growth has led to heavy investments in those technologies throughout the last decade. So, if you consider that content is the consumable form of data, then it follows that the era of big data has now given way to the era of big content. Employees, customers, partners, investors, and regulators – all internal and external stakeholders – are clamoring for content to stay employed, educated, entertained, and connected. And all these content consumers are more empowered than ever before, meaning organizations must harness not just the power of their data but also that of their content assets to meet information demands. This data-content continuum exists because of the inherent challenges and opportunities both data and content management share and because content is the form of data closest to your customers and other key audie...

What Is Data Preparation?

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...