PlaidCloud is a powerful toolbox for business analytics. You can perform ad-hoc analytics as well as develop analytics workflows that fully automate simple to complex data sourcing, cleansing, and analysis.
A majority of any analytics process is simply acquiring and cleaning up the data so you can gain meaningful insight. While there are many tools in the marketplace that help you with either data sourcing or analysis, PlaidCloud provides the ability for both. Plus it is web based, easy to use, and quick to implement.
See what’s included in PlaidCloud below to support your analysis and help you get started on your free trial.
For those coming from other tools and technologies, the following matrix and subsequent information will help understand how PlaidCloud goes beyond current tools in a single, comprehensive, straightforward platform.
|Connects to internal data||✓||✓||✓||✓||✓||✓||✓||✓|
|Connects to public data||✓||✓||✓||✓||✓|
|Connects to partner data||✓||✓||✓||✓||✓|
|Collaborate with partners||✓|
|Handles small data||✓||✓||✓||✓||✓||✓||✓||✓|
|Handles medium data||✓||✓||✓||✓||✓||✓|
|Handles big data||✓||✓||✓||✓||✓|
|Requires no software||✓|
|Integrated data backup||✓||✓||✓||✓|
|Scheduled workflow runs||✓||✓||✓||✓|
|Enable custom logic||✓||✓||✓||✓||✓||✓||✓||✓|
|Uses common software language||✓||✓||✓||✓||✓||✓|
|Role based security||✓||✓||✓||✓|
|Native Excel integration||✓||✓||✓||✓|
|Native iPython/Jupyter Notebook integration||✓|
|Native Google Drive integration||✓|
|Native DropBox integration||✓|
|Native S3 integration||✓|
|Native SAP ECC connector||✓||Only SAP|
|Native SAP PCM connector||✓||Only SAP|
Business users love Excel, and it isn’t going anywhere anytime soon. In fact, our PlaidXL Excel add-in enables direct interaction with PlaidCloud from within Excel. Excel was never designed to operate smoothly on medium and big data problems. That is where PlaidCloud saves the day with its ability to operate on massive data in parallel allowing you to stick with something familiar and comfortable but remove data size constraints from your analysis.
Access provides a simple database system capable of helping with data cleansing and analysis. However, Access is not designed to be an analytical tool so it works smoothly until it reaches medium or big data problems. Its design causes the number of queries and VBA code to grow to overwhelming complexity fairly quickly for even the simplest analysis problems. It is also difficult to effectively scale across more than a handful of users or provide robust role based security.
SQL databases, while they are the mainstay of business financials and other business operations, are not analytics platforms. Leave that to PlaidCloud. Forcing analytics or business logic into the database will hinder its flexibility and responsiveness.
SAS offers powerful capabilities through its products, although few use some of the more esoteric capabilities leaving the users desiring a more streamlined and understandable approach. With PlaidCloud, you can collaborate over the web, eliminate the complicated installation of tools, handle large data volumes, and import your existing SAS7BDAT files directly into a workflow.
We appreciate Pandas’s powerful analytics platform as we use it in many areas of our analysis support. However, Pandas is only one link in the analytics tool chain. With PlaidCloud, you can utilize the benefits of Pandas, Numpy, and HDF along with web based collaboration and visual workflow management. Even with complex algorithms, PlaidCloud enables you to add custom workflow steps so you can handle any unique process required for your analysis. You can quickly apply all of your Pandas knowhow using custom transforms. You also have full access to a Python environment through custom transforms and Jupyter notebooks.
R, while it provides powerful analytics, is not always the friendliest of applications to use. If you are an R user now, you will find PlaidCloud to be very familiar in terminology and capability but with many other tools necessary for a full analytics tool-chain along with the ability to collaborate with other team members regardless of their location.
Extract, Transform, and Load (ETL) is the foundation in many businesses and scientific processes. However, nearly all ETL installations are controlled by domain specific support. This limits flexibility and transparency for the consumers of the data. While PlaidCloud is a full analysis workbench, it also excels at ETL and puts the power back into the hands of those who need the data for analysis. This allows for quick integration of new information or modification of existing processes within minutes, not weeks.
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