Bring Data Together
Bring data from the systems you already use into one structured model.
Your Business Data, Structured Around How You Operate
Your business data already exists across the systems you use every day. ERP, warehouse management, workforce and staffing tools, billing, and other operational systems.
Predien brings that data together and structures it around how your business operates. Your forward deployed analyst handles the extraction, cleaning, and structuring, so your team does not have to prepare everything before getting started.
Key Features That Help You Work With Your Business Data
Your data is the foundation of every metric, analysis, and scenario. Predien brings scattered operational data into one structured model, so the numbers behind a decision sit in the same place.
Bring Data Together
Bring data from the systems you already use into one structured model.
Structure Around You
Organize data into the categories your business uses, like customers, products, sites, or cost centres.
Build the Metrics That Matter
Create the metrics your team relies on, from operational KPIs to financial performance measures.
Quality You Can Rely On
Incoming data is monitored and reviewed so issues are identified before they affect your analysis.
History You Can Trust
Every load is kept as part of the history. Roll back a single batch without affecting the rest.
Use Cases and Industries
Important business decisions depend on numbers from several different systems. When those numbers take days to assemble, the decision often gets made before the analysis arrives.
Model Your Business Around How It Actually Operates
See how Predien structures your operational data around your own business, rather than forcing it into a generic template.
Your Data, Prepared for Better Decisions
Operational data arrives in different formats from different systems. Predien turns those scattered inputs into structured business categories that can be used together.
Your forward deployed analyst organizes categories such as customers, products, revenue streams, cost centres, and sites. Where two systems define the same thing differently, that difference is resolved rather than averaged over.
Operational Data Scattered
ERP, WMS, workforce tools, billing, and other systems
Structured Categories
Customers, products, sites, revenue streams, cost centres, and transactions
One Analytical Model
Metrics, analysis, scenarios, and decisions
How It Works
A volume commitment is not just compared with last year's numbers. Predien tests the additional demand against the parts of your operation that will need to absorb it.
Organize
Predien organizes data around the different parts of your business, including finance, operations, workforce, sales, and other relevant areas.
Define
Your business data is structured into the categories you actually use, such as customers, products, employees, transactions, orders, shipments, sites, revenue streams, and cost centres.
Build Metrics
The structured data becomes the foundation for the metrics your business needs, such as margin by customer, cost per order, labor cost per unit, or revenue by product.
Configure
Your forward deployed analyst works with your team during onboarding to map the data, categories, and metrics to your actual business structure. The model is built around how you operate.
Predien Works With the Systems You Already Run
Predien runs on the operational data your business already produces.
Sources
The systems you already run.
Predien can work with data from systems such as ERP, CRM, warehouse management, workforce and staffing tools, and billing. That data forms the foundation for the metrics, analysis, and scenarios built around your business.
Preparation
Handled on our side.
Scattered inputs are organized into the categories your business uses. Where two systems define the same thing differently, that difference is reviewed and resolved during the process.
Quality
Watched, not assumed.
Incoming data is reviewed for anomalies before it reaches a business view. Your analyst monitors the data and validates uploads, so problems are identified early.
History
Every data load is kept.
Each load is recorded and timestamped, with append and full-refresh handling. If a batch needs to be removed, that load can be rolled back without affecting the rest of the data.
Current State
File-Based Data Ingestion
Files can be loaded on a schedule with append and full-refresh handling. Upload history is maintained for each load. Currently available.
Direct System Connectors
Direct connectors into operational systems are currently rolling out. In progress.
Your data context
What You Provide
You provide the operational history from the systems you already use, and information about the main categories your business operates around.
Your team does not need to clean or reformat the data before providing it to Predien.
What the Model Cannot Do
The quality of analysis depends on the quality and consistency of the underlying data. Projections and thresholds need a reliable history to work from.
If the available data is incomplete, inconsistent, or too limited for a particular type of analysis, this is identified during onboarding rather than hidden behind a model.
Bring the decision you are weighing right now
See it tested on your own business numbers before you commit.
Who this is for
Predien is built for mid-market leaders whose, Business has outgrown their current analytical capabilities.
What happens next
Email one line with the decision you are weighing. It goes to the person who would run your Sprint, and they come back within one business day.
