Effective data preparation is the key to getting great results with your predictive
model. Harness the power of data integration in Data 360. Load and transform data from one
or more data sources into a data model object (DMO) with optimized training data. You can
pull data from Salesforce and external sources. You can also use third-party tools and
utilities to further expedite data cleansing and wrangling tasks.
Required Editions
What is Data Prep?
Data prep is the process of preparing your data so that it’s optimized for AI Models (formerly Einstein Studio) to train predictive models. Better predictive models derive more useful
predictions and prescriptions, resulting in better decisions and improved business
outcomes.
Data preparation involves aggregating and optimizing data associated with the outcome
variable you're investigating, along with potential predictor variables that can
influence the outcome. Data preparation is also a process of iterative refinement.
As you dig deeper into your data, new clues emerge. Discoveries can cause you to
reassess previous assumptions and adjust your data prep implementation
accordingly.
Invest in Data Prep for Your Solution
Data scientists typically
invest significant time and effort to plan and prepare their data. They know how much
the quality of the output depends on the design and quality of the input. If you aren’t
able to match the wizard-level knowledge, skills, and training that data scientists
bring to the data prep process, you can still succeed if you:
- have domain knowledge of the data associated with the business outcome you’re
trying to optimize
- use Data 360’s extensive data integration capabilities to aggregate, clean,
and populate the DMO with data that’s optimized for model training
- apply common data prep techniques to produce high-quality data that is accurate,
complete, representative of your business operations, and relevant to your
solution
- improve business results by applying basic principles to help implement your
solution - even if you aren’t a data scientist.
Use Data 360’s Data Integration Capabilities
AI Models relies on data stored in Data 360 data model objects (DMOs). Data Cloud provides
a variety of powerful tools you can use to prepare (extract, load, and transform) your data.
That way, you can populate a DMO with information that’s optimized for AI Models to use for
model training.
