Data acquisition best practices

  • How do you manage data acquisition?

    Consider the following when managing data acquisition:

    1. Which data is being acquired
    2. The purpose for which data is being acquired
    3. How data is acquired
    4. The source of data being acquired
    5. Whether any new data is being created
    6. Whether privacy considerations need to be made for data

  • What are the strategies for data acquisition?

    There are four methods of acquiring data: collecting new data; converting/transforming legacy data; sharing/exchanging data; and purchasing data..

  • What is data acquisition technique?

    Data acquisition is the process of sampling signals that measure real-world physical conditions and converting the resulting samples into digital numeric values that can be manipulated by a computer..

  • Consider the following when managing data acquisition:

    1. Which data is being acquired
    2. The purpose for which data is being acquired
    3. How data is acquired
    4. The source of data being acquired
    5. Whether any new data is being created
    6. Whether privacy considerations need to be made for data
  • A data acquisition system is a system that includes measurement devices, sensors, a computer, and data acquisition software.
    A data acquisition system is used for acquiring, storing, visualizing, and processing data.
    This involves collecting the information required to understand electrical or physical phenomena.Jun 28, 2022
Nov 26, 2019Breaking data down bit by bit1. Understand automation and control sources.2. Understand connectivity and interfaces.3. Properly set up 

How to improve the data acquisition process at your organization?

Leverage data governance and a data catalog to manage the process and capture metadata of all kinds.
With these beliefs in mind, here are a few best practices for improving the data acquisition process at your organization.

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What is a data acquisition system?

The first step is understanding data acquisition systems and consider the eight essential best practices for data acquisition success.
In its simplest form, a data acquisition system (DAQ or DAS) samples signals that measure real-world physical conditions and converts the resulting samples into digital numeric values that a computer can manipulate.

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What is acquired data & why is it important?

Acquired data duplicates what the company already owns (i.e., data that’s “hidden” in another line of business).
No way to capture and manage the associated rich metadata, such as:

  1. having an enterprise data catalog in place

Ineffective or nonexistent governance practices that aren’t set up to manage the data acquisition process.
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What is the 6th data acquisition best practice?

Organizing data is the sixth data acquisition best practice.
Various software programs make it easier to organize data.
The most commonly used PI Server and its asset framework (AF) component make the organization and sharing of data much easier.


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