Third-party data integration tools offer support for different data This makes formats ? including industry-specific standards for healthcare like HIPAA and HL7 ? Excel ? online applications ? PDFs ? and more. These tools gather data from disparate sources ? massage the raw data ? aggregate it ? and deliver it to reporting and visualization platforms where health workers can easily access it.
With uncertainty about
This virus at its peak ? it’s important to consolidate disparate telemarketing data data points and create a complete picture that can help healthcare professionals create an action plan for managing data. indispensable tool in the fight against the pandemic ? promoting data-driven decisions based on a unified view of data no matter where it resides.
Crafting Great Business Definitions: Common Pitfalls
In this second post of a four-part series about we are looking for a full-time crafting great business definitions ? I will identify common pitfalls in creating definitions. I will explain how to detect when a definition is data-ish ? how to avoid circular definitions ? and what the difference is between a definition and a description. Read Part One here.
Data-ish Definitions
Definitions with overt or subtle IT or data bias are a curse for effective business communication. Good business definitions are oriented to what words mean when used by real business people talking directly about real business things. Definitions pertain to data only that uae phone number technology if the thing under consideration is a data thing.
Suppose someone defines an organization as: a data type for a body of people organized for a particular purpose.
In the real world ? an organization is not a data type! It’s a group of people.
A better definition for the real-world concept of an organization would be: a body of people formed for a particular purpose.
By the way ? the faulty definition above is a real example from industry standards work(!).
Digging Deeper: Perhaps the standards group was defining fields in a data design. Then missing from the definition is context.
Organization [data store]: a data type for a body of people organized for a particular purpose.